Available projects in a sub-area

Faculty of Information Technology

App recommendation
Code	Start date	Value	Contact
595	24 November 2015 (negotiable)	$2000 ($500 x 4 weeks)	Dr Yuan-Fang Li Email: yuanfang.li@monash.edu Phone: +61 3 990 59688
Prerequisites experiences in data mining/machine learning, strong programming skills (Java, Python, R, Mathlab, etc.), data science
Additional details Can we predict which applications from the Zendesk App Marketplace a customer is likely to install based on information about their Zendesk (eg. Industry, # of agents, geographic location, language, ticket volume etc.). Can we subsequently use these predictions to boost app installations via a mail campaign when compared to recommending the customers install the most popular apps (and if so, what effect does it have). This project is in collaboration with Zendesk
Applications Applications closed on Friday, 9 October 2015.

What makes customers happy? (in collaboration with Zendesk)
Code	Start date	Value	Contact
596	24 November 2015 (negotiable)	$2000 ($500 x 4 weeks)	Dr Yuan-Fang Li Email: yuanfang.li@monash.edu Phone: +61 3 990 59688
Prerequisites experiences in data mining/machine learning, strong programming skills (Java, Python, R, Mathlab, etc.), statistics, data science
Additional details Can statistically significant relationships be found between the metrics we record on a support ticket (eg. when it was created, how long it took to solve, ticket channel etc.) and whether or not an end user a) answers a customer satisfaction survey, and b) reports being happy with their support experience This project is in collaboration with Zendesk
Applications Applications closed on Friday, 9 October 2015.

Deep Visualisation of the Mitchell Library Collection
Code	Start date	Value	Contact
599	30 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Professor Kim Marriott and Professor Jon McCormack Email: kim.marriott@monash.edu Phone: 9905 5525
Prerequisites Knowledge of JavaScript and D3 is required.
Additional details The State Library of New South Wales is currently in the process of digitising their David Scott Mitchell Collection, which consists of about 40,000 items. So far about 10% of the collection has been digitised. The project is to explore how text and document analysis can be combined with data visualisation to reveal the “deep” and “unexpected” connections between the items in the library.
Applications Applications closed on Friday, 9 October 2015.

3D modelling and animation for virtual heritage research
Code	Start date	Value	Contact
652	6 January 2016 (negotiable)	$2000 ($250 x 8 weeks)	Dr. Tom Chandler Email: tom.chandler@monash.edu Phone: 99031314 Research profile: Dr. Tom Chandler More information about project #652
Prerequisites FIT1033, FIT3001. Open to second year and third year Faculty of IT Games Development and Multimedia Major students. Accomplished 3D design, lighting, animation and modelling skills (AutoDesk Maya). Some experience of the Unity game engine would be beneficial but not required.
Additional details If shortlisted you are required to attend an interview between November 15th and 30th
Applications Applications closed on Friday, 9 October 2015.

Autonomous Drawing Robots
Code	Start date	Value	Contact
659	30 November 2015 (negotiable)	$4000 ($400 x 10 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 99032187
Prerequisites Work with motors, sensors, micro-controllers, laser cutters, 3D printers, pens and paint brushes. Programming will be done using the MBED IDE (https://www.mbed.org) and C/C++.
Additional details The aim of this project is to design and construct a variety of autonomous drawing robots using off-the-shelf motors, micro controllers and low power CPUs. Famous for “turtle” graphics, drawing robots navigate over a large flat surface with a pen or paint system that can be turned on or off. Given enough time they are able to create complex drawings, diagrams and painted displays. The project will include design, building and programming of several different drawing robots. You will be based in sensiLab at Monash’s Caulfield campus.
Applications Applications closed on Friday, 9 October 2015.

Visualisation of Very-Large Power Networks
Code	Start date	Value	Contact
665	30 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Dr Carleton Coffrin Email: carleton.coffrin@nicta.com.au
Prerequisites Web programming (HTML5, CSS, JavaScript), basic knowledge of parsing textual data. Experience with jQuery is preferable but not required.
Additional details Modern power systems form large and complex networks containing thousands or even millions of components. The sheer size of these datasets presents a significant challenge in understanding the structure of such networks. In this project, you will develop a webbased tool to generate visualisations of verylarge realworld power networks that efficiently communicate the structure of these networks. Your visualisations will aid power system researchers and practitioners in understanding these large network datasets. This tool will leverage cutting edge web technologies such as the D3 toolkit and the WebCola framework developed at Monash. The completed version of the tool will be hosted on an offical website and made opensource to enable communitybased enhancements.
Applications Applications closed on Friday, 9 October 2015.

Optimal Laser Cutting
Code	Start date	Value	Contact
667	30 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Dr Guido Tack and Dr Andreas Schutt Email: guido.tack@monash.edu Phone: 99031214
Prerequisites Good mathematical and programming skills, ideally experience with modelling optimisation problems (but not strictly required)
Additional details Laser Cutters are an important tool in large scale industrial manufacturing, but are also becoming increasingly popular for rapid prototyping. In many application scenarios, a large number of copies of the same basic shape needs to be cut from a single sheet of material (paper, wood or metal). This raises two interesting questions: (1) how to place the pieces onto the sheet to minimise waste, and (2) how to find the shortest path for the laser to cut out all the pieces. In this project, the student will develop an application using the MiniZinc optimisation tool chain to tackle these problems, and try out the solutions using the laser cutting facilities available in SensiLab. The outcome will be a usable, open source solution for optimising laser cutting problems. Location: Caulfield Campus
Applications Applications closed on Friday, 9 October 2015.

Wearable for Social Interaction
Code	Start date	Value	Contact
678	23 November 2015 (negotiable)	$2400 ($400 x 6 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 9903 2187
Prerequisites Good programming skills and have a working knowledge of network technologies. The location of your work is in sensiLab on Caulfield Campus. You will be supplied with all necessary hardware for the project.
Additional details You will create a network organized for a group of people using sensors, actuators as well as hand-held controllers for haptic feedback. In addition, the personal area network (PAN) is managed by a Raspberry Pi II single-board computer and 3-4 LightBlue Bean low energy bluetooth processors. One group member is the wearer of the sensor, which is a pulse sensor measuring the heart-rate variability derived from the raw pulse sensor data (http://pulsesensor.com/). The indexed sensor data is sent via bluetooth to the group members holding the controllers. This enables the group members to give feedback by operating the actuators of the wearable. You will create the high-level communication protocol for the PAN, set up the sensor/actuators, and design and implement the transmission system as well as the calibration protocol.
Applications Applications closed on Friday, 9 October 2015.

Deep Broad Learning: Big Models for Big Data
Code	Start date	Value	Contact
679	23 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Dr Nayyar Zaidi Email: Nayyar.Zaidi@monash.edu Phone: +61 3 990 53298
Prerequisites Ideal student must have finished Andrew Ng course on Machine Learning on Coursera. Ideal student will have an excellent C++/java skills. An excellent understanding of data structures, hashing, and search techniques is required.
Additional details Abstract: The project investigates designing big models that can learn from extremely large quantities of data. A big model is not only deep but broad i.e., a model should not only model high-level interactions but also model a huge range of these interactions. With ever increasing quantities of data, deep broad learning is highly desirable. However, implementing deep broad models is not that simple. This project is aimed at efficient implementations of big models. More Details: http://users.monash.edu.au/~nzaidi/papers/DBL.pdf This position is located at Clayton
Applications Applications closed on Friday, 9 October 2015.

PROTIC Mobile Apps
Code	Start date	Value	Contact
682	7 December 2015 (negotiable)	$3200 ($400 x 8 weeks)	Dr Tom Denison Email: tom.denison@monash.edu Phone: 9903 2415
Prerequisites Return airfare to Dhaka Bangladesh and accommodation costs included FIT3027 or FIT4039 or FIT5046 Both UG and PG can be considered.
Additional details The PROTIC project (Participatory Research and Ownership with Technology, Information and Change), is a partnership between Oxfam in Bangladesh and its community partner organisations, Oxfam Australia, and the Faculty of IT, Monash University 2015-2019, supported by the Empowerment Charitable Trust. PROTIC is part of the overall REECALL program at Oxfam in Bangladesh. The primary goal of the project is to develop current, accurate, and trustworthy interactive information (primarily via mobile technologies) for women in agriculture in Bangladesh, to enable them to act to improve their well-being and livelihoods in one of the most densely populated and ecological fragile parts of the world. There is already a very high ownership of mobiles in Bangladesh with a good 3G network. As part of PROTIC, there is an opportunity for a student to spend up to eight weeks in Dhaka, Bangladesh, to assist in the development of mobile phone apps for use by members of rural communities. As there are low levels of literacy in rural Bangladesh, particular emphasis will need to be paid to the visual design aspects. See the Oxfam Disaster Preparedness App at https://play.google.com/store/apps/details?id=com.elitesbd.oxfam&hl=en for an example. The successful candidate will work with Oxfam Bangladesh and their partners and will require skills in developing Android Apps and interface design. Industry partner : Oxfam Bangladesh Working location: Caulfield, Oxfam Bangladesh
Applications Applications closed on Friday, 9 October 2015.

Data management and processing platform for Ambulance attendance data analytics.
Code	Start date	Value	Contact
683	23 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Maria Indrawan-Santiago and David Taniar Email: maria.indrawan@monash.edu, david.taniar@monash.edu Phone: 99031916
Prerequisites Final year students in the MIT/Bachelor Computer Science with strong database design and programming background. Familiarity with Microsoft SQLServer platform is an advantage.
Additional details The project is in collaboration with TurningPoint Alcohol and Drug Centre. The project will explore state of the arts in data management technologies for storing data collected from various health agencies; preparing the data to be used for data analytics and reporting. Interview for the candidate in the short list will be conducted between 26-30 October.
Applications Applications closed on Friday, 9 October 2015.

Call for resuscitation by mobile-phone.
Code	Start date	Value	Contact
690	23 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Maria Indrawan-Santiago (FIT), Associate Prof. David Taniar (FIT) and Dr Tony White MBBS PhD FRACP (Monash Health) Email: maria.indrawan@monash.edu, david.taniar@monash.edu Phone: 99031916
Prerequisites Good mobile application (Android/iPhone) and database programming skills. Understanding of GPS/spatial, event-based systems are desirable.
Additional details The project is a collaboration between Faculty of IT and Monash Heart (Monash Health). The scholarship holders are expected to develop of a system links CPR trained individuals to attend cardiac events occurring within a 500 m radius via smart phone and GPS prior to ambulance attendance. 2 scholarships of $500/week are available for this project.
Applications Applications closed on Friday, 9 October 2015.

Non-linear optimisation in MiniZinc
Code	Start date	Value	Contact
700	30 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Dr Guido Tack (Monash), Dr Carleton Coffrin (NICTA) Email: guido.tack@monash.edu Phone: 99031214
Prerequisites Good mathematical and programming skills, ideally experience in optimisation.
Additional details Non-linear optimisation solvers are an important tool for solving interesting real-world problems, in areas such as power systems, product portfolio optimisation, and network design optimisation. Using NL solvers, however, currently requires a deep understanding of how they work, since the problem needs to be encoded into a set of matrices. The goal of this project is to add a translation phase to the MiniZinc optimisation modelling system that performs this matrix encoding automatically. This will make NL solvers much easier to use, and at the same time open up new problem domains for modelling in MiniZinc. Location: Caulfield Campus
Applications Applications closed on Friday, 9 October 2015.

Network aggregation for visual analysis of complex networks
Code	Start date	Value	Contact
701	23 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Dr Karsten Klein and Matthias Klapperstueck Email: karsten.klein@monash.edu Phone: 99034827 More information about project #701
Prerequisites Good knowledge of the Java programming language is mandatory, a background in algorithms or biological networks a plus,but not required
Additional details Network analysis is an important tool to support knowledge discovery and decision making for both academic and commercial research. One of the major challenges in network analysis today is to cope with the size and complexity of networks in a large variety of application areas like telecommunications, life sciences, finance, social sciences, energy, and information security. This project aims to extend the network visualisation tool VANTED (https://immersive-analytics.infotech.monash.edu/vanted/) with methods that allow users to analyze and explore large and complex networks. In collaboration with the supervisors the student will investigate and implement methods for network aggregation to facilitate visual analysis of complex networks. Aggregation derives significantly smaller networks such that relevant patterns and regions of interest in the input can be characterized by particular structures in the output. Visual analysis of the resulting structures should enable analysts to gain an overview on the structure and semantics of the network at hand, and an implementation should support navigation in the network for interactive exploratory analysis. Location: Caulfield and Clayton
Applications Applications closed on Friday, 9 October 2015.

Interactive mapping of mental health needs.
Code	Start date	Value	Contact
706	23 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Dr Martin Atchison and Dr Joanne Enticott Email: martin.atchison@monash.edu Phone: 99031912
Prerequisites • Must be a skilled and enthusiastic programmer (languages not important, but must be ready and willing to learn a new language if required). • Should have a good understanding of the basic web and database technologies involved in developing a web-database interface. • Desirably will have skills in web design
Additional details This project will develop a web-based, user-friendly, interactive map of Australia which displays key mental health clinical information and services broken down into geographical areas. The system will fill an information gap in knowledge about area-based mental health services and needs by displaying rates of disorder and available services for a user-selected area. This will help service providers identify deficiencies in the services available in their area and highlight the need to expand services to cater for demand. Additionally, consumers using the tool can become informed about the relative prevalence of their disorder in their residential and surrounding areas, and the type of services offered in these areas, enabling more targeted clinical service choices. The system will be developed in a way that makes it readily usable by multiple types of users including patients/consumers and health care planners. It will be piloted and evaluated using information from public users including patients/consumers, clinicians, policy-makers and health care planners. Location: Caulfield Campus
Applications Applications closed on Friday, 9 October 2015.

Social Media Analytics for Better Understanding the Fibromyalgia Experience
Code	Start date	Value	Contact
707	7 December 2015 (negotiable)	$5000 ($500 x 10 weeks)	Dr Pari Delir Haghighi Email: pari.delir.haghighi@monash.edu Phone: 99032355
Prerequisites FIT4009 or FIT5142 (or equivalent data mining and machine learning unit)
Additional details Fibromyalgia syndrome (FMS) is a highly prevalent pain disorder, affecting up to 4% of the population, and is a frequent cause of work disability. Causal factors remain poorly understood and current therapeutic approaches are relatively ineffective. The content analysis of data (i.e. tweets) exchanged by patients can be used to understand factors influencing variance in the subjective experience of FMS that cannot be achieved using traditional data collection and analysis methods. One of the challenges in analysing tweets is the presence of noise and unwanted data. This project aims to use machine learning to improve the accuracy of content analysis of tweets by identifying and removing the outliers. The project will investigate a number of well-known methods and conduct a comparative evaluation in terms of accuracy. As the second stage, the project will study and select appropriate correlation tests to investigate if there is any association between the user’s contextual variables with the tweet analysis results. The findings will potentially contribute to similar medical studies on content analysis of tweets. Location: Caulfield Campus Industry Partner: MIME/Cabrini Hospital
Applications Applications closed on Friday, 9 October 2015.

Portals of the future
Code	Start date	Value	Contact
721	23 November 2015 (negotiable)	$4500 ($450 x 10 weeks)	Professor Frada Burstein Email: frada.burstein@monash.edu Phone: 99032011
Prerequisites Excellent software programming skills and a creative approach to human computer interaction. Interest in personalised systems, HCI and interface design.
Additional details Portals are so 2005! The goal of this project is to understand the different options for a personalised user experience that would ensure Monash students have all the information they require to be successful, and to develop a prototype to demonstrate some of these possibilities. This project is a collaboration between the Faculty of IT and eSolutions. The students (a team of two would be ideal) would be located at sensiLab (Caulfield campus, http://sensilab.monash.edu/)
Applications Applications closed on Friday, 9 October 2015.

Monash wearables
Code	Start date	Value	Contact
722	23 November 2015 (negotiable)	$4500 ($450 x 10 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 99032187
Prerequisites Excellent software programming skills and demonstrated creative skills (knowledge or interest in fashion or design would be ideal).
Additional details Body-borne computers or wearables are becoming common place. The goal of this project is to explore ways in which Monash staff and students could leverage from this platform, and to develop a prototype to demonstrate some of these possibilities. This project is a collaboration between the Faculty of IT and eSolutions. The students (a team of two would be ideal) would be located at sensiLab (Caulfield campus, http://sensilab.monash.edu/).
Applications Applications closed on Friday, 9 October 2015.

Making the most of wireless data
Code	Start date	Value	Contact
723	23 November 2015 (negotiable)	$4500 ($450 x 10 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 99032187
Prerequisites Excellent software programming skills (knowledge of wireless networks would be ideal) and some basic knowledge of electronics.
Additional details We are constantly generating and collecting data through our phones, watches, laptops, cars, etc. The goal of this project is to study other industries to find out how data generated by wireless usage is being used to gain competitive advantage, so that we can determine the types of experiences that Monash could create if we used the wireless usage data on our campuses. Develop a prototype or proposal to demonstrate the possibilities and determine its feasibility. This project is a collaboration between the Faculty of IT and eSolutions. The students (a team of two would be ideal) would be located at sensiLab (Caulfield campus, http://sensilab.monash.edu/)
Applications Applications closed on Friday, 9 October 2015.

Software tool for tracking education students (team project for up to 4 students)
Code	Start date	Value	Contact
726	30 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Professor Ann Nicholson Email: ann.nicholson@monash.edu Research profile: Professor Ann Nicholson More information about project #726
Prerequisites We are looking for a team of students with different skill sets to work on designing and implementing a prototype software tool to be used by the Faculty of Education to track students, including aspects tied to their professional placements. So we'd be looking at getting either undergraduate or postgraduate Faculty of IT students from different degrees (e.g. Business Information System, Information Technology, Computer Science and Software Engineering) to be part of this team. We need some expertise in the business requirements and analysis aspects, others in software design, and some in implementation (which might be web or app based).
Additional details If shortlisted, will be required to attend an interview sometime in November.
Applications Applications closed on Friday, 9 October 2015.

Immersive Traffic Visualisation and Interaction
Code	Start date	Value	Contact
728	23 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Professor Kim Marriott, Dr Tim Dwyer and Iman Avazpour Email: kim.marriott@monash.edu Phone: 99055525
Prerequisites Working with databases and SQL knowledge. Programming skills in JavaScript or C++
Additional details Traffic monitoring and congestion provides challenges for traffic managers and analysts. This project will investigate: 1) How can the data provided by various traffic sensors and data collection methods be utilised in new visualisation and virtual reality facilities? 2) What are the most effective traffic visualisations to be represented by these facilities? 3) Which interaction techniques can benefit traffic analysts? Location: Caulfield Campus
Applications Applications closed on Friday, 9 October 2015.

Data warehousing - ANZ Bank
Code	Start date	Value	Contact
729	30 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Associate Professor David Taniar Email: david.taniar@monash.edu Phone: 990 59693
Prerequisites Strong programming skills and databases/data analysis.
Additional details This project will focus on data extraction, cleaning and prepartion of banking data. It also involves data blending and various data warehousing techniques. Location: Clayton campus
Applications Applications closed on Friday, 9 October 2015.

Data analytics - ANZ Bank
Code	Start date	Value	Contact
730	30 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Associate Professor David Taniar Email: david.taniar@monash.edu Phone: 990 59693
Prerequisites Strong programming skills and databases/data analysis. Location: Clayton campus.
Additional details This project will focus on mathematical modelling techniques, including the use of data mining and machines learning techniques. It will also use various data mining tools and languages, including R.
Applications Applications closed on Friday, 9 October 2015.

Visualisation and reporting - ANZ Bank
Code	Start date	Value	Contact
731	30 November 2015 (negotiable)	$5000 ($500 x 10 weeks)	Associate Professor David Taniar Email: david.taniar@monash.edu Phone: 990 59693
Prerequisites Strong programming skills and databases/data analysis. Location: Clayton campus
Additional details This project will focus on visualization of banking data using various visualization techniques and libraries (e.g. D3 data-driven documents), and reporting tools (e.g. QlikView, Tableau). It will also involve web development on desktop as well as mobile devices.
Applications Applications closed on Friday, 9 October 2015.

Dynamics of selfish routing with a finite number of agents.
Code	Start date	Value	Contact
733	7 December 2015 (negotiable)	$5000 ($500 x 10 weeks)	Dr Julian Garcia Email: Julian.Garcia@monash.edu Phone: +61 3 990 53654
Prerequisites Required: Knowledge of Java and Python. Interest in simulations and mathematical modeling. MAT2003 or equivalent. FIT3139 Desired: FIT4012 Interest in HPC Interest or knowledge of C/C++, GIT, Unit testing
Additional details Routing traffic to reduce network congestion is a pervasive problem in engineering and computer science. In many applications it is difficult or expensive to delegate control to a centralized authority that can assign routes optimally. Traffic is then let to agents who make independent individual route choices, intending to minimize their own individual costs. This is known as selfish routing [1]. Formally, a routing problem is given by a specific network topology and a set of latency functions. Since individual costs are a function of the choices of others, the problem arising is a perfect fit for game theory. 'Equilibrium routes' emerge from aggregate individual choices. It is known that minimizing individual costs leads to suboptimal total costs [2]. Most of the literature uses classic game theory to analyze the Price of Anarchy. That is, the amount by which efficiency is diminished due to agents being selfish. This analysis relies on standard game theoretical concepts such as Nash equilibrium. Classic game theory provides a solid characterization of equilibria, but it is silent about how agents may reach equilibrium. Evolutionary game theory addresses this issue. Instead of being fully rational, agents are assumed to follow simple learning rules. The properties of the ensuing dynamical system are studied to derive results on how agents 'learn'. Results on convergence time are particularly relevant in computer science. Fischer and Vöcking (FV) study the evolutionary dynamics of selfish routing [3]. They use the replicator dynamics to derive upper bounds for convergence time. Their results are, curiously, independent of network topology. While their results are very general, they are also detached from reality. Their main assumption stems from using replicator dynamics, which assumes an infinite number of agents. We will re-evaluate the results from FV in a setting with a finite number of agents. We aim to understand how convergence to equilibria, particularly convergence time, depends on the size of the system. We will use evolutionary game theory (EGT) of finite populations [4]. Convergence times for simple stochastic processes modeling evolution in finite populations are known [5]. The main task here is to introduce routing games into this framework. For simplicity, we will focus in the case of linear latency functions. We will start inspecting convergence times using Montecarlo simulations and numerical exact approximations. Analytical results are at reach in the limits of weak and strong selection [6]. References: [1] Roughgarden, Tim, and Éva Tardos. 'How bad is selfish routing?.' Journal of the ACM (JACM) 49.2 (2002): 236-259. [2] Roughgarden, Tim, and Eva Tardos. 'Introduction to the inefficiency of equilibria.' Algorithmic Game Theory 17 (2007): 443-459. [3] Fischer, Simon, and Berthold Vöcking. 'On the evolution of selfish routing.' Algorithms–ESA 2004. Springer Berlin Heidelberg, 2004. 323-334. [4] Traulsen, Arne, and Christoph Hauert. 'Stochastic evolutionary game dynamics.' Reviews of nonlinear dynamics and complexity 2 (2009): 25-61. [5] Antal, Tibor, and Istvan Scheuring. 'Fixation of strategies for an evolutionary game in finite populations.' Bulletin of mathematical biology 68.8 (2006): 1923-1944. [6] Wu, Bin, García Julian, Hauert, Christoph and Traulsen, Arne. 'Extrapolating weak selection in evolutionary games.' (2013): e1003381. Location: Clayton Campus
Applications Applications closed on Friday, 9 October 2015.

Non-regular strategies in repeated games with mistakes
Code	Start date	Value	Contact
734	7 December 2015 (negotiable)	$2400 ($400 x 6 weeks)	Dr Julian Garcia Email: Julian.Garcia@monash.edu Phone: +61 3 990 53654
Prerequisites Required: Knowledge of Java and Python. Interest in simulations and mathematical modeling. MAT2003 or equivalent. Desired: FIT3139 FIT4012 Interest in HPC Interest or knowledge of C/C++, GIT, Unit testing
Additional details Evolutionary dynamics is the study of how populations of agents can learn to make choices in strategic scenarios. One important application deals with situations in which the best course of action for the individual produces poor results at the aggregate level. Agents then need to learn how to coordinate their actions to achieve good results at the group level. One way to solve the dilemma is to allow for the game to be repeated, in which case reciprocation can allow for efficient outcomes. We study how 'strategies that can count' fare in games where agents ocassionally make mistakes. We are interested in understanding how and when complex strategies outperform simple strategies such as tit for tat. References: Van Veelen, M., García, J., Rand, D. G., & Nowak, M. A. (2012). Direct reciprocity in structured populations. Proceedings of the National Academy of Sciences, 109(25), 9929-9934. Zagorsky, B. M., Reiter, J. G., Chatterjee, K., & Nowak, M. A. (2013). Forgiver triumphs in alternating Prisoner's Dilemma. Location: Clayton Campus
Applications Applications closed on Friday, 9 October 2015.

Data visualisation for the CAVE2
Code	Start date	Value	Contact
756	7 December 2015 (negotiable)	$5000 ($500 x 10 weeks)	Dr Christoph Bergmeir Email: Christoph.Bergmeir@monash.edu
Prerequisites Strong programming skills and knowledge of web technologies (mainly javascript).
Additional details The project aim is to develop interactive, 3 dimensional visualizations for a rich spatio-temporal dataset from the Turning Point Alcohol and Drug Centre, for the CAVE2 environment. Technologies to be used are SAGE, d3.js The Monash CAVE2 environment: http://monash.edu/mivp This project is in collaboration with the Turning Point Alcohol and Drug Centre: http://www.turningpoint.org.au/ Project location: Clayton
Applications Applications closed on Friday, 9 October 2015.

Deep Visualisation of the Mitchell Library Collection
Code	Start date	Value	Contact
775	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Professor Kim Marriott and Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 9905 5525
Prerequisites The State Library of New South Wales is currently in the process of digitising their David Scott Mitchell Collection, which consists of about 40,000 items. So far about 10% of the collection has been digitised. The project is to explore how text and document analysis can be combined with data visualisation to reveal the “deep” and “unexpected” connections between the items in the library. Knowledge of JavaScript and D3 is required.
Additional details Location: Caulfield campus More than 1 student may be appointed to this project.
Applications Applications closed on Friday, 20 May 2016.

Autonomous Drawing Robots
Code	Start date	Value	Contact
776	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 9903 2187
Prerequisites The aim of this project is to design and construct a variety of autonomous drawing robots using off-the-shelf motors, micro controllers and low power CPUs. Famous for “turtle” graphics, drawing robots navigate over a large flat surface with a pen or paint system that can be turned on or off. Given enough time they are able to create complex drawings, diagrams and painted displays. The project will include design, building and programming of several different drawing robots. You will be based in sensiLab at Monash’s Caulfield campus.
Additional details More than one student may be appointed to this project. You’ll need to have a basic knowledge of robotics (sensors, actuators, microcontrollers, etc.) and also inverse kinematics. You’ll get to work with motors, sensors, micro-controllers, laser cutters, 3D printers, pens and paint brushes. Programming will be done using the Raspberry Pi in Python and C/C++ and on our Universal Robotics UR3 robots.
Applications Applications closed on Friday, 20 May 2016.

SensiLab Component Archive
Code	Start date	Value	Contact
777	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 9903 2187
Prerequisites SensiLab has a vast collection of gadgets, gizmos, electronics components and computers (’stuff’). Moreover we have a problem locating everything easily and knowing who is using what. In this project you will help build a novel system to help organise, catalogue and trace all the ‘stuff’. This will involve working with NFC and similar technologies in addition to building front end interfaces using node.js and Raspberry Pi computers. Web applications experience: node.js, Mongo db, Javascript libraries such as d3, HTML5, CSS and php
Additional details Location: Caulfield campus More than 1 student may be appointed to this project.
Applications Applications closed on Friday, 20 May 2016.

Enchanted Objects for Tangible Interfaces
Code	Start date	Value	Contact
778	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 9903 2187
Prerequisites In this project you will build “intelligent” tangible interface objects for collaborative interaction. We have a tabletop projection and image recognition system that can recognise physical objects placed on the table. The aim of the project is to embed the objects with some sensors and motors to enable them to react and move independently. They can also be moved by people interacting with them. Each object needs to be part of an ad-hoc Bluetooth LE network. You can see some inspirational videos at: https://www.youtube.com/watch?v=RLq4EvoKjFY and https://www.youtube.com/watch?v=800iJU0lNqc Prerequisite knowledge: C++ programming experience, including OpenCV, some experience with microcontrollers and electronics.
Additional details Location: Caulfield campus More than one student may be appointed to this project.
Applications Applications closed on Friday, 20 May 2016.

Augmented Reality Sandbox
Code	Start date	Value	Contact
779	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 9903 2187
Prerequisites In this project you will be working with a literal sandbox, camera and depth sensor to augment sand-scapes with projected virtual content. This project extends on AR Sandbox projects installed in universities and schools worldwide http://idav.ucdavis.edu/~okreylos/ResDev/SARndbox/ CompSci/IT Students. Completion of FIT2071 and experience with OpenGL (C++) is desirable.
Additional details Location: Caulfield campus More than 1 student may be appointed to this project.
Applications Applications closed on Friday, 20 May 2016.

Automatic extraction of anomalies for molecular spectroscopy
Code	Start date	Value	Contact
781	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Dr Francois Petitjean Email: francois.petitjean@monash.edu
Prerequisites Good programmer Experience in data analytics and visualisation
Additional details General context: Agilent in Melbourne develops optical spectroscopy instruments for atomic and molecular analysis. They are investigating big data analytics and are looking for a method to gain insights about variability in instrument performance, focusing on the evolution of a next generation product during its development phase. Through enhanced understanding of product performance during development, it is anticipated that more informed decisions can be made about design readiness and predictions can be made for product reliability expectations. Input: A single large dataset comprising absorption spectra / detector response over time, for a number of prototype instruments with a range of instrument hardware and software configurations. The data will come from the same standard tests in each case. Aims: Analyse variances, highlight anomalies and identify correlations with instrument configuration and/or environmental conditions for: 1.Different instruments at the same stage of development 2.Individual instruments over the term of the development phase Output: 1.A method to interrogate the dataset and identify anomalies (under-performing or over-performing) and correlations with configuration and conditions 2.Graphical assessment of variance between instruments as a function of time, hardware and software configurations and environmental conditions
Applications Applications closed on Friday, 20 May 2016.

Turning Point: Data visualisation for the CAVE2
Code	Start date	Value	Contact
785	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Dr Christoph Bergmeir & Dr Matthias Klapperstueck Email: christoph.bergmeir@monash.edu
Prerequisites Strong programming skills and knowledge of web technologies (mainly JavaScript).
Additional details The CAVE2 is a 3D immersive environment but can also be used as huge 2D display for collaborative work. We use the SAGE2 display environment in the CAVE2 to create a virtual desktop for presenting complex data to groups of researchers. SAGE2 provides a framework to run JavaScript applications. The aim of this project is to develop interactive, 3 dimensional visualizations using d3.js for a rich spatio-temporal dataset from the Turning Point Alcohol and Drug Centre for this environment. References: The Monash CAVE2 environment: http://monash.edu/mivp This project is in collaboration with the Turning Point Alcohol and Drug Centre: http://www.turningpoint.org.au/
Applications Applications closed on Friday, 20 May 2016.

Machine Learning for Structural Biology
Code	Start date	Value	Contact
789	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Prof Geoff Webb Email: geoff.webb@monash.edu
Prerequisites FIT2004
Additional details Suitable for undergraduate students
Applications Applications closed on Friday, 20 May 2016.

Understanding Air Traffic with Virtual Reality
Code	Start date	Value	Contact
795	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Professor Kim Marriott Email: kim.marriott@monash.edu Phone: 9905 5525
Prerequisites Better tools for visualisation and analysis of Air Traffic Control data such as aircraft trajectories is required to improve traffic security, reduce aircraft fuel consumption and noise pollution over cities. A prototype tool using the Oculus Rift has been developed to visualize, select and animate those trajectories. The project will be to extend the prototype to include more sophisticated analytics. It is a great opportunity to work with the Oculus Rift and get familiar with the aeronautical domain. You need to know C# / Javascript and have some background in 3D programming. Location: Caulfield campus
Applications Applications closed on Friday, 20 May 2016.

Developing New Touch-Based Computing Interfaces on the HP Sprout
Code	Start date	Value	Contact
796	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Dr Matt Butler Email: matthew.butler@monash.edu Phone: 9903 1911
Prerequisites The student will be expected to have demonstrable skills in desktop application development. Development for the HP Sprout can be done in a number of languages such as C++, C# and Java. A plugin for the Unity development environment also exists to extend it to include the capabilities of the Sprout. The student should be able to provide example applications they have developed in order to demonstrate their technical abilities. The student should also have demonstrable experience in the understanding and application of HCI principles. Please review the HP Sprout development resources for further information on the technical skills that will be required: https://sprout-developers.rssx.hp.com/
Additional details HP have recently launched the 'Sprout', a computing device that employs both a touchscreen monitor, and importantly a projector and camera system to provide an additional interface opportunity with which to interact with the computer and its applications. While this device affords new interactions to take place, exemplar applications need to be developed to not only utilise the Sprout to the fullest, but also to explore where computing devices and their interactions may be headed to from here. In this project, the goal will to be develop a number of example applications that utilise the Sprout and its hardware in order to examine how its unique approach to interaction may point to new interface paradigms, while also exploring for what applications such interactions may be most suited. More detail about the HP Sprout can be found here: https://sprout.hp.com/ This project is based in sensiLab, a research lab based at the Caulfield campus. If you are accepted for this project you will need to work within the lab to access the equipment and facilities needed to develop the project.
Applications Applications closed on Friday, 20 May 2016.

Alfred Health: Location data visualisation in a hospital context
Code	Start date	Value	Contact
797	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Dr Christoph Bergmeir Email: christoph.bergmeir@monash.edu
Prerequisites Strong programming skills, interest in data visualization, R programming skills desirable.
Additional details Aggressive patient behavior is an increasing problem in hospitals that poses a significant occupational hazard for health care workers. Frequent bed movement of patients within hospital is commonplace but this translocation change is thought to contribute to patient frustration, disorientation and delirium which in turn drive episodes of clinical aggression. In this project, you will develop a visualization of patient location and movement data using 2 dimensional hospital floor plans of a major Victorian metropolitan health service in order to identify high risk beds or wards and bed movements leading up to clinical aggression incidents. The resultant model has the potential for expansion to other clinical domains. The project will be carried out using the R programming language, which is a de-facto standard for data analysis and visualization. References: The Alfred Hospital: http://www.alfred.org.au The R programming language: https://www.r-project.org/ Example visualizations in R: http://www.r-graph-gallery.com/all-graphs/
Applications Applications closed on Friday, 20 May 2016.

Integration of plot.ly into the SAGE2 environment
Code	Start date	Value	Contact
798	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Dr Matthias Klapperstueck, Dr Tobias Czauderna and Prof Kim Marriott Email: matthias.klapperstueck@monash.edu
Prerequisites JavaScript programming experience necessary, knowledge of plot.ly necessary, knowledge of HTML5 desirable, knowledge of GIT desireable
Additional details To display complex scientific data to groups of researchers, we investigate applications for large display systems. For that, we use the CAVE2 as a huge 2D display area and SAGE2 as desktop environment, which provides a framework to run JavaScript applications. The task of this project will be to develop a fully functional, interactive application using plot.ly to present 2D/3D plots. This task comprises (1) the creation of a user interface, to easily load and display various data, (2) enable the user, to interactively change the displayed charts, (3) implement methods, to interact with the chart (“mouse-over”, rotate/zoom/translate 3D charts) References: CAVE2: https://monash.edu/mivp SAGE2: http://sage2.sagecommons.org/ plot.ly: https://plot.ly/javascript/
Applications Applications closed on Friday, 20 May 2016.

Presenting interactive 2D/3D plots in the CAVE2 using SAGE2 and plotly.js
Code	Start date	Value	Contact
799	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Dr Matthias Klapperstueck and Dr Tobias Czauderna Email: matthias.klapperstueck@monash.edu
Prerequisites JavaScript programming experience necessary, knowledge of HTML5 desirable
Additional details The CAVE2 is an 3D immersive environment but can also be used as huge 2D display for collaborative work. We use the SAGE2 display environment in the CAVE2 to create a virtual desktop for presenting complex data to groups of researchers. SAGE2 provides a framework to run JavaScript applications. The task of this project will be to develop a demo application to present 2D/3D plots of data in this environment using the plot.ly JavaScript framework. References: CAVE2: https://monash.edu/mivp SAGE2: http://sage2.sagecommons.org/ plot.ly: https://plot.ly/javascript/
Applications Applications closed on Friday, 20 May 2016.

Text Mining of Symptoms of Sexually Transmitted Infections from Academic Papers
Code	Start date	Value	Contact
812	27 June 2016 (negotiable)	$2400 ($600.00 x 4 weeks)	Grace Rumantir Email: grace.rumantir@monash.edu Phone: 9903 1965
Prerequisites MIT with minor thesis in Intelligent Systems The project involves text mining from academic papers to find reported symptoms that lead to the diagnoses of various sexually transmitted infections (STIs). The aim of the project is to integrate this information with the results of separately performed patient surveys to help build a more complete causal model for the purpose of self diagnosis of STIs. Location: Caulfield campus
Applications Applications closed on Friday, 20 May 2016.

Indonesian Village Electrification: Visualization of survey data with maps using ArcGIS
Code	Start date	Value	Contact
826	27 June 2016 (negotiable)	$2000 ($500 x 4 weeks)	Dr. Christoph Bergmeir (FIT), Associate Prof. David Taniar (FIT), Dr. Ariel Liebman (MEMSI) Email: christoph.bergmeir@monash.edu
Prerequisites Interest in spatial informatics and GIS systems, experience with ArcGIS and/or statistical programming languages such as R is a plus.
Additional details The Indonesian government is currently undertaking massive efforts to raise overall electrification accross the country from around 80% today to 97% in 2019. One big question to be answered in this context is, which villages will be connected to the central power grid and which villages will be supplied by their own microgrid (as they are too remote or otherwise connection to the central grid is not feasible). In this project, we will use national survey data (PODES) to generate maps visualizing current electrification rate in Indonesia, and development throughout the recent years. References: http://www.antaranews.com/en/news/104349/indonesian-govt-to-develop-renewable-energy-for-rural-electricity https://www.arcgis.com/home/item.html?id=9fd061c238604bd289f0fed1bd853f46
Applications Applications closed on Friday, 20 May 2016.

Implementation of a simple CPU simulator
Code	Start date	Value	Contact
840	27 June 2016 (negotiable)	$1500 ($500 x 3 weeks)	Dr Guido Tack and A/Prof Carsten Rudolph Email: guido.tack@monash.edu
Prerequisites FIT1047 and programming experience
Additional details We look for 2-3 students who will work as a team to implement a CPU simulator for teaching. The goal is to simulate all basic functions of a simplified CPU that then can be used by a simple assembly language. The result should include a small editor for assembly programming, a graphical user interface for the simulator that includes functions such as step-by-step execution up to register level, stepping back in the execution, input/output, etc. In addition to basic load, store, jump, add, etc., the simulator should also support subroutines, indirect addressing and other essential functionalities. The simulator should be modular (in terms of instructions) so that the instructions set can be easily changed or extended.
Applications Applications closed on Friday, 20 May 2016.

Investigating into efficient data centric security algorithms for  Smart Grid data
Code	Start date	Value	Contact
1028	21 November 2016 (negotiable)	$2000 ($500 x 4 weeks)	Vincent Lee Email: vincent.cs.lee@monash.edu
Prerequisites 1) Have completed Bachelor/MIT degree in computer science or network security 2) Have software skills and secured multiparty computation knowledge for data/information security
Applications Applications closed on Friday, 7 October 2016.

Characterising Concept Drift
Code	Start date	Value	Contact
1030	9 January 2017 (negotiable)	$1200 ($200 x 6 weeks)	Professor Geoff Webb Email: geoff.webb@monash.edu Research profile: Professor Geoff Webb
Prerequisites Information Technology students, preferably with research experience. Prerequisite FIT2004 or equivalent.
Applications Applications closed on Friday, 7 October 2016.

Develop autonomous multi-rotor UAVs for distributed SLAM under GPS-denied environments
Code	Start date	Value	Contact
1039	21 November 2016 (negotiable)	$2400 ($200 x 12 weeks)	Dr. Jan Carlo Barca and Dr. Hoam Chung Email: jan.barca@monash.edu
Prerequisites Computer Science, Mechatronics or ECSE students with strong background in programming and system implementation are preferred.
Additional details Mapping a large GPS-denied area such as space under a forest canopy is a challenging task for a small unmanned aerial vehicle (UAV) with short flight duration. However, this can be overcome by using a swarm of UAVs that cooperatively interact with each other. In this project a student will work on subjects helping to implement a swarm of autonomous quadrotor vehicles that maps a large outdoor area without GPS. Potential topics include, but are not limited to: 1) implementing the tree trunk feature detection algorithms for visual SLAM from literature 2) on-board system integration 3) implementing a height control system for a quadrotor vehicle using a laser range finder. If shortlisted you will be required to attend an interview.
Applications Applications closed on Friday, 7 October 2016.

Visualising code-dependencies using TypeScript compiler services
Code	Start date	Value	Contact
1048	1 December 2016 (negotiable)	$5000 ($500 x 10 weeks)	Tim Dwyer Email: tim.dwyer@monash.edu Phone: 50234 Research profile: Tim Dwyer
Prerequisites Strong programming experience, ideally with javascript/typescript.
Additional details JavaScript is at the heart of all client-side web development but node.js is also fast making JS the backbone of server-side development. TypeScript (typescriptlang.org) is a superset of JS that introduces typesafety and other compiler services to the development of rich JavaScript applications. We are interested in visualising the metadata about program structure that the TypeScript compiler service makes available. Visualising complex software dependencies helps system architects to better understand, refactor and extend such systems. We are looking for a student who is a confident JavaScript or TypeScript programmer to explore ways to create novel visualisations of this data using the WebCola network visualisation library (http://marvl.infotech.monash.edu/webcola/).
Applications Applications closed on Friday, 7 October 2016.

Interacting with the SandDance Visual Analytics system on large display walls
Code	Start date	Value	Contact
1050	1 December 2016 (negotiable)	$5000 ($500 x 10 weeks)	Tim Dwyer Email: tim.dwyer@monash.edu Phone: 50234 Research profile: Tim Dwyer
Prerequisites Strong programming experience, preferably JavaScript/TypeScript and RESTful programming
Additional details SandDance is an interactive visual data analytics system developed by Microsoft Research that allows analysts to explore data in a very natural and intuitive way: https://www.microsoft.com/en-us/research/project/sanddance/ We have a collaboration with Microsoft Research to explore novel techniques to allow people to work collaboratively with SandDance on large display wall environments like the Monash CAVE2 and the Monash Caulfield PerceptuWall. We would like a student who is a confident programmer (ideally in JavaScript) with an interest in novel user interfaces.
Applications Applications closed on Friday, 7 October 2016.

Bayesian Networks for Multiple Diagnoses of Diseases
Code	Start date	Value	Contact
1064	21 November 2016 (negotiable)	$2500 ($500 x 5 weeks)	Dr Grace Rumantir Email: grace.rumantir@monash.edu Phone: 99031965
Prerequisites Postgraduate Student with a background in Intelligent Systems modelling.
Additional details The project will include: 1. Creating a flowchart from a program currently being used for generating questionnaires on symptoms of various sexually transmitted infections (STIs). 2. Literature reviews on various data pre-processing methods and conducting experiments on replacing missing values in questionnaire results of STI symptoms. The output will be verified against a list of important symptoms associated with each STI prepared by doctors. 3. Build a Bayesian Network from the pre-processed data for the purpose of diagnosing possible STIs from questionnaire results. The project is based on the Caulfield campus.
Applications Applications closed on Friday, 7 October 2016.

Creating a map of Victoria from series of new-generation satellite images
Code	Start date	Value	Contact
1065	21 November 2016 (negotiable)	$5000 ($500 x 10 weeks)	Dr Francois Petitjean Email: francois.petitjean@monash.edu
Prerequisites Wants to create something cool :) Strong programming skills Experience in Machine Learning Good with data wrangling Large scale development is a plus (Spark) Keen to discover the world of satellite images
Additional details Context - an incredible source of information. On June 23 rd 2015, the European Space Agency successfully launched the first Sentinel-2 satellite into orbit. This mission will provide frequent images of the surface of our planet at no charge to users. This revolutionary program opens up an incredible opportunity to monitor the surface’s evolution of the planet at a high spatial resolution. Combined with NASA’s Landsat-8 mission, all land and coastal areas are now systematically imaged weekly. This data offers the opportunity to support a broad range of critical applications. General aim - The aim of this project is to produce an agricultural map of Victoria for the years 2015-2016. Approach - Creating such a map requires a significant amount of work to gather and structure the training data, interface it with machine learning algorithms and produce easily accessible results. This is the aim of the summer scholarship. The work will be performed in collaboration with Dr Jordi Inglada (French Space Agency), who is in charge of producing such a map for France. Outcomes - The resulting temporal map, created from series of satellite images collected by Landsat-8 and Sentinel-2, will be extremely useful for agriculture monitoring and planning, as the latest map produced by the Department of Agriculture is for year 2011. Suitable for both UG and PG students
Applications Applications closed on Friday, 7 October 2016.

Research on Security Protocol Verification
Code	Start date	Value	Contact
1067	21 November 2016 (negotiable)	$6000 ($500 x 12 weeks)	Dr Carsten Rudolph Email: carsten.rudolph@monash.edu
Prerequisites Good understanding of cryptography and security protocols.
Additional details Security protocols are one fundamental element of secure and resilient systems and are essential building blocks for engineering secure systems. However, they are easy to get wrong and many examples exist where attacks have been found years after a protocol was published. Therefore, for scientific publications of new protocols it is now considered essential to provide a formal security verification. Several tools exist that support and partly automate this kind of verification. In principle, this is a very positive development as researchers are forced to have a more formal and rigorous look at their new protocols. Nevertheless, there are also several problems with this approach: 1. Security verification is done in idealised models that are often not fully understood. 2. Attacker models usually do not reflect what one could expect in real-world applications of the protocols. 3. Errors in proofs are difficult to find and reviewers often dont have the time to do a complete check of the proof. 4. Formal protocol specifications use many implicit assumptions that are usually not discussed in the publications. All these issues can lead to wrong conclusions about the security of the protocols. The goal of the research work is to go through publications in major IT security conferences and journal of the past 3-4 years and identify papers with new protocols and their security verification. These papers should be classified with respect to the type of protocol and the methods/tools used for verifying the protocol. Finally, a high-level comparison of the informal specification of the protocol and the formal model should indicate if there might be problems with the verification. The result of the project will feed into an ongoing analysis and review of formal protocol verification methods and has the potential of being used in publications in highly ranked conferences. We look for a student who has a good understanding of how cryptography works and who is not afraid of reading through different types of formal representations of protocols. This project is located at Clayton
Applications Applications closed on Friday, 7 October 2016.

Political issues from Twitter
Code	Start date	Value	Contact
1070	6 December 2016 (negotiable)	$4000 ($500 x 8 weeks)	Professor Wray Buntine Email: wray.buntine@monash.edu
Prerequisites Master of Data Science student with understanding of Victorian and Federal politics and Twitter. Needs to do some scripting in something like Python.
Additional details Institutes like Monash University need to keep their finger on the pulse of government. What issues are currently keeping our pollies up at night? Where might the learned professors of Monash be able to apply their venerated research skills to support the pressing issues of the day. We have a good list of politicians and hashtags. Twitter crawls are being managed for us. But how can we summarise and digest the set of weekly tweets? What sorts of analysis might we do, and what sorts of visualisation can we do? We have at our disposal a cornucopia of visualisations via D3 libraries and linguistic analytics from NLP experts. But we need to consider a number of worked cases based on twitter data developed by someone with a reasonable knowledge of politics. So the task here is not a programming task, or to develop a particular application, but to develop a prototype of what could be done. Support for particular NLP or visualisation coding will be given.
Applications Applications closed on Friday, 7 October 2016.

Visualisation of dynamic topic models
Code	Start date	Value	Contact
1072	21 November 2016 (negotiable)	$2000 ($400 x 5 weeks)	Dr Yuan-Fang Li Email: yuanfang.li@monash.edu
Prerequisites * Required: strong programming skills in Python & Javascript * Highly advantageous: knowledge and experiences in machine learning, specifically topic modelling * Highly advantageous: knowledge and experiences in visualisation libraries such as d3.js
Additional details A topic model is a type of model for the discovery of abstract topics of a collection of documents (a corpus). Dynamic topic models are used to represent and analyse the time evolution of topics. The ability to clearly visualise, explore and analyse trending topics allows for better and deeper understanding of the corpus and the topics. The student will work with Prof. Wray Buntine, Dr. Yuan-Fang Li and the data science team at Zendesk Melbourne to investigate a novel and unique visualisation method that provides the ability to interactively explore the evolution of topics through time. This tool will enable interrogation of six evolutionary behaviours over the broader topic landscape and individual topics simultaneously. This project will be located at Clayton
Applications Applications closed on Friday, 7 October 2016.

Refreshable Braille Cell
Code	Start date	Value	Contact
1114	21 November 2016 (negotiable)	$1500 ($500 x 3 weeks)	Dr Cagatay Goncu Email: cagatay.goncu@monash.edu Phone: 99055800
Prerequisites Experience in 3D modelling and Printing. Basic soldering skills.
Additional details You will be modelling and printing 3D parts and enclosures for the refreshable Braille Cell. Location: Caulfield campus, occasionally Clayton campus.
Applications Applications closed on Friday, 7 October 2016.

Authoring Electronic books for people with vision impairment
Code	Start date	Value	Contact
1115	21 November 2016 (negotiable)	$1500 ($500 x 3 weeks)	Dr Cagatay Goncu Email: cagatay.goncu@monash.edu Phone: 99055800
Prerequisites Familiarity with Apple's VoiceOver technology.
Additional details You will be using Apple iBooks Author to create ebooks for people with vision impairment, and test them on the iOS devices. Working Location: Caulfield campus Industry partner: Insight Education Centre for the Blind and Vision Impaired.
Applications Applications closed on Friday, 7 October 2016.

Indonesian Village Electrification: Analysis of PODES survey data
Code	Start date	Value	Contact
1119	21 November 2016 (negotiable)	$5000 ($500 x 10 weeks)	Prof David Taniar, Dr Christoph Bergmeir, Prof Lachlan Andrew, Dr Ariel Liebman Email: christoph.bergmeir@monash.edu
Prerequisites Data Science techniques and knowledge in statistical programming languages such as R is a plus.
Additional details The Indonesian government is currently undertaking massive efforts to raise overall electrification accross the country from around 80% today to 97% in 2019. One big question to be answered in this context is, which villages will be connected to the central power grid and which villages will be supplied by their own microgrid (as they are too remote or otherwise connection to the central grid is not feasible). In this project, we will analyse national survey data (PODES) to analyse and answer this question. References: http://www.antaranews.com/en/news/104349/indonesian-govt-to-develop-renewable-energy-for-rural-electricity
Applications Applications closed on Friday, 7 October 2016.

Alfred Health: Fungal Surveillance Text Mining Project
Code	Start date	Value	Contact
1120	21 November 2016 (negotiable)	$2000 ($500 x 4 weeks)	Dr Christoph Bergmeir Email: christoph.bergmeir@monash.edu
Prerequisites Strong programming skills, python, text mining experience.
Additional details The student will work as part of a team, working on a text classifier software implemented in python to classify radiology reports into reports that state a fungal infection and reports that don't.
Applications Applications closed on Friday, 7 October 2016.

Alfred Health: Location data visualisation in a hospital context
Code	Start date	Value	Contact
1121	21 November 2016 (negotiable)	$5000 ($500 x 10 weeks)	Dr Christoph Bergmeir Email: christoph.bergmeir@monash.edu
Prerequisites Strong programming skills, interest in data visualization, R programming skills desirable.
Additional details Aggressive patient behavior is an increasing problem in hospitals that poses a significant occupational hazard for health care workers. Frequent bed movement of patients within hospital is commonplace but this translocation change is thought to contribute to patient frustration, disorientation and delirium which in turn drive episodes of clinical aggression. In this project, you will develop a visualization of patient location and movement data using 2 dimensional hospital floor plans of a major Victorian metropolitan health service in order to identify high risk beds or wards and bed movements leading up to clinical aggression incidents. The resultant model has the potential for expansion to other clinical domains. The project will be carried out using the R programming language, which is a de-facto standard for data analysis and visualization.
Applications Applications closed on Friday, 7 October 2016.

Developing an R wrapper for the snob clustering software
Code	Start date	Value	Contact
1122	21 November 2016 (negotiable)	$5000 ($500 x 10 weeks)	Dr Christoph Bergmeir Email: christoph.bergmeir@monash.edu
Prerequisites Strong programming skills, e.g., C/C++. Desirable: Fortran and R.
Additional details The 'Snob' software, developed by Monash FIT founding professor Chris Wallace, for Minimum Message Length (MML) and finite mixture modelling, in the 1960s and 1970s, is still today the state of the art in the field. Many applications, work of PhD students in the Faculty, etc., could potentially benefit from its use. However, it is not as publicly known and used as its utility and quality may suggest. This is mainly due to the software being Fortran code on an insulated Monash web page that is not widely advertised and known. This project aims to develop an R package to make the Snob software easy to use from within R, and give it great visibility in the R community. As R is one of the de-facto standards among nowadays data science practitioners, this means great visibility in a big chunk of the relevant community as a whole. The student would develop a software that has the potential to become very popular and useful. The task is mainly to implement a wrapper in the R programming language for existing Fortran code. The main challenge will lie in partly understanding and modifying the Fortran 77 code appropriately. References: R programming language: https://www.r-project.org/ https://www.rstudio.com/ http://www.datamining.monash.edu.au/software/snob http://www.csse.monash.edu.au/~dld/Snob.html
Applications Applications closed on Friday, 7 October 2016.

Turning Point: Data visualisation for the CAVE2
Code	Start date	Value	Contact
1123	21 November 2016 (negotiable)	$4000 ($500 x 8 weeks)	Dr. Christoph Bergmeir, Dr. Matthias Klapperstueck, Prof Kim Marriott Email: christoph.bergmeir@monash.edu
Prerequisites Strong programming skills and knowledge of web technologies (mainly JavaScript).
Additional details The CAVE2 is a 3D immersive environment but can also be used as huge 2D display for collaborative work. We use the SAGE2 display environment in the CAVE2 to create a virtual desktop for presenting complex data to groups of researchers. SAGE2 provides a framework to run JavaScript applications. The aim of this project is to develop interactive, 3 dimensional visualizations using d3.js for a rich spatio-temporal dataset from the Turning Point Alcohol and Drug Centre for this environment. References: The Monash CAVE2 environment: http://monash.edu/mivp This project is in collaboration with the Turning Point Alcohol and Drug Centre: http://www.turningpoint.org.au/
Applications Applications closed on Friday, 7 October 2016.

Tangible Controls for Navigating Virtual Worlds
Code	Start date	Value	Contact
1124	6 January 2017 (negotiable)	$1600 ($400 x 4 weeks)	Dr Tom Chandler, Dilpreet Singh and Elliott Wilson Email: tom.chandler@monash.edu Phone: 99031314
Prerequisites Some experience of developing or C# programming in Unity would be an advantage, as would a working knowledge of basic networking.
Additional details In this project you will use tangible interface objects to control movement, position and interaction in a large scale display virtual environment (projected on a wall) created in the Unity engine. You will be working with a tabletop projection and image recognition system at sensiLab that can recognise physical objects placed on the table. Building upon this system, your aim will be to develop an interaction method that allows a user to navigate and explore 3D environments through the placement of the tangible interface objects. Location: Caulfield campus
Applications Applications closed on Friday, 7 October 2016.

What makes problems hard to optimise?
Code	Start date	Value	Contact
1132	21 November 2016 (negotiable)	$6000 ($500 x 12 weeks)	Aldeida Aleti and Andreas Schutt Email: aldeida.aleti@monash.edu Phone: 99034688
Prerequisites Could be undergraduate or postgraduate student. Knowledge of optimisation is desirable.
Additional details Combinatorially complex problems are often optimised using search​ ​ methods, which use gradients to guide the search. When problems are constrained, search gradients are disrupted by infeasible regions, which​ ​ have a great impact on the difficulty of solving them. For more constrained optimisation problems a local move ​​ ​ that​ ​ improves the objective may yield an infeasible assignment, and the nearest feasible solution may be worse than the solution we started​ ​ with. So the question we would like to answer in this project is: under what circumstances is a method that focuses on improving the objective​ ​ better than a method that focuses on constraints?
Applications Applications closed on Friday, 7 October 2016.

Autonomous Drawing Robots
Code	Start date	Value	Contact
1138	21 November 2016 (negotiable)	$3000 ($500 x 6 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 99032187
Prerequisites The project is suitable for both undergraduate and postgraduate students.
Additional details The aim of this project is to design and construct a variety of autonomous drawing robots. The robots operate without human intervention and are able to create complex drawings, diagrams and painted displays. The project will include design, building and programming of a range of different drawing robots. You will be based in sensiLab at Monash’s Caulfield campus. You’ll get to work with motors, sensors, micro-controllers, laser cutters, 3D printers, pens and paint brushes. To be accepted for this project, you’ll need to demonstrate existing skills in at least one of the following: Microcontroller programming, mechatronics & robotics, industrial design, fine art, artificial intelligence. Location: sensiLab, Caulfield campus.
Applications Applications closed on Friday, 7 October 2016.

Enchanted Objects for Tangible Interfaces
Code	Start date	Value	Contact
1139	21 November 2016 (negotiable)	$3000 ($500 x 6 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 99032187
Prerequisites The project is suitable for both undergraduate and postgraduate students.
Additional details In this project you will assist in developing “intelligent” tangible interface objects for collaborative interaction. We have a tabletop projection and image recognition system that can recognise physical objects placed on the table. The aim of the project is to embed the objects with some sensors and motors to enable them to react and move independently. They can also be moved by people interacting with them. Each object needs to be part of an ad-hoc Bluetooth LE network. You can see some inspirational videos at: https://www.youtube.com/watch?v=RLq4EvoKjFY and https://www.youtube.com/watch?v=800iJU0lNqc To be accepted for this project you will need to demonstrate advanced skills in at least one of the following: C++ programming, including OpenCV, Microcontroller programming, Mechatronics, human-computer interaction design. Location: sensiLab, Caulfield campus.
Applications Applications closed on Friday, 7 October 2016.

Stress Pendant
Code	Start date	Value	Contact
1140	21 November 2016 (negotiable)	$3000 ($500 x 6 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 99032187
Prerequisites The project is suitable for both undergraduate and postgraduate students.
Additional details We have developed a new kind of wearable technology - the stress pendant - that people wear and squeeze when they feel stressed. This “stress event” is recorded and sent to a central database. Information captured includes date, time, GPS position, temperature and movement data. Many people wear the pendant around Melbourne, giving us the ability to produce “stress map” visualisations of the city. For this project there are three possible areas to explore: (i) the design of a new form of the wearable pendant for the project; (ii) Enhancement of the Stress Pendant App for iOS and Android mobile devices; (iii) visualisation and analytics for the data collected. You will work on one of these tasks dependant on your skills. For more information on the pendant see: http://sensilab.monash.edu/project/stress-pendant/ To be accepted for this project you will need to demonstrate advanced skills in at least one of the following: Wearable technology, interaction design, industrial design, app development, electronics design, micro controller programming, data visualisation (D3, JS, WebGL). Location: sensiLab, Caulfield campus.
Applications Applications closed on Friday, 7 October 2016.

New Performance Interfaces
Code	Start date	Value	Contact
1141	21 November 2016 (negotiable)	$3000 ($500 x 6 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 99032187
Prerequisites The project is suitable for both undergraduate and postgraduate students.
Additional details In this project you will work on a new kind of interactive interface device, designed for live performance and control (for example live music, interactive video performance, or navigation and interaction in virtual reality). The handheld device uses touch pads, motion sensors and other detectors and connects wirelessly to a host computer. Tasks for the project include: interface design, API programming, micro controller programming. To be accepted for this project you will need to demonstrate advanced skills in at least one of the following: interaction design, industrial design, electronics design, microcontroller programming, computer music, C/C++ programming. Location: sensiLab, Caulfield campus.
Applications Applications closed on Friday, 7 October 2016.

Immersive Environments for Interactive Optimisation
Code	Start date	Value	Contact
1153	21 November 2016 (negotiable)	$6000 ($500 x 12 weeks)	Tim Dwyer, Kim Marriott and Simon Dunstall Email: tim.dwyer@monash.edu Phone: 99050234
Prerequisites Undergraduate or postgraduate student with programming experience.
Additional details The Monash Faculty of IT Immersive Analytics initiative is exploring the use of immersive environments for various data visualisation and analysis tasks, including Interactive Optimisation. Interactive Optimisation involves a collaboration between human and machine in solving difficult optimisation problems that are either too poorly specified or computationally intractable for the machine algorithms to solve unsupervised. This project will explore the use of immersive display and interaction technologies such as the HTC Vive head-mounted display, in order to offer users of interactive optimisation systems more flexible and natural views of optimisation problems such as (but not limited to) medical treatment planning, scheduling and complex routing problems in 3D. Location: Caulfield campus
Applications Applications closed on Friday, 7 October 2016.

Experiments in Mixed-Integer Programming
Code	Start date	Value	Contact
1161	21 November 2016 (negotiable)	$5000 ($500 x 10 weeks)	Dr Pierre Le Bodic Email: pierre.lebodic@monash.edu Phone: 99034827
Prerequisites Undergraduate or postgraduate student.
Additional details The project will involve running and analysing experiments using an open-source 'MIP solver' called SCIP. Bash/awk/python scripting and coding in C on the menu. Up to 2 students may be appointed to this project. Location: Caulfield campus.
Applications Applications closed on Friday, 7 October 2016.

Collaborative Data Analytics in the SAP Digital Boardroom Using Virtual and Augmented Real
Code	Start date	Value	Contact
1169	21 November 2016 (negotiable)	$5000 ($500 x 10 weeks)	Dr Tom Chandler , Dr Tim Dwyer, Prof Kim Marriott (Monash) and Dr Nicholas Nicoloudis (SAP) Email: kim.marriott@monash.edu
Prerequisites Strong programming skills, Unity knowledge an advantage.
Additional details There is an exciting revolution taking place in the computer games and entertainment industries where the long standing vision for Virtual and Augmented Reality is finally being realised by new generation of consumer head-mounted display (HMD) devices. One of the worlds largest enterprise software companies SAP has announced its development of the boardroom of the future built around such devices (https://news.sap.com/virtual-reality-in-the-boardroom/). The boardroom will allow managers, data analysts and other stakeholders to meet virtually and collaboratively analyse, for instance, sales data. However at present it is unknown how best to collaboratively visualise and interact with abstract data in such a virtual environment. We have two HTC Vive HMDs as well as low cost VR technologies like the Samsung Gear VR in which we are currently exploring the possibilities and effectiveness of data-analytics in VR. We seek a confident programmer with an interest in developing for the Unity game engine to work with us and SAP to create and evaluate novel collaborative (multi-user) data analytics experiences suitable for the SAP digital boardroom.
Applications Applications closed on Friday, 7 October 2016.

Flower image segmentation and extraction from video sequences
Code	Start date	Value	Contact
1183	21 November 2016 (negotiable)	$1800 ($300 x 6 weeks)	Associate Professor Alan Dorin Email: alan.dorin@monash.edu
Prerequisites UG programming ability required to at least first year level.
Additional details Insects are essential to agriculture, but their populations are changing in poorly understood ways that are likely to impact on human food supplies. This project will enable us to gather parameters of insect behaviour from video footage that will allow us to simulate how insects forage.
Applications Applications closed on Friday, 7 October 2016.

Understanding concept drift
Code	Start date	Value	Contact
1193	26 June 2017 (negotiable)	$1600 ($400 x 4 weeks)	Prof Geoff Webb Email: geoff.webb@monash.edu More information about project #1193
Prerequisites Background in machine learning.
Applications Applications closed on Friday, 19 May 2017.

Secure search and evaluate with practical functionalities on big encrypted data
Code	Start date	Value	Contact
1207	26 June 2017 (negotiable)	$1600 ($400 x 4 weeks)	Amin Sakzad Email: amin.sakzad@monash.edu Phone: 99031966
Prerequisites (1) Knowledge of basic Cryptographic protocols, (2) Experience in working with C++, Number Theoretic Library, and/or HElib, (3) A Bachelor or a Master degree in Security, Machine Learning or Data Science is a plus (4) Good communication skills
Additional details The student will develop a library for a cryptographic protocol with different functionalities. This includes implementation of a homomorphic encryption (HE) and its use in various applications. These libraries will be built based upon HElib. The employed researcher/student will be in charge of analysing the efficiency of the proposed HE in different scenarios and compare them with current available ones. Both UG and PG can apply.
Applications Applications closed on Friday, 19 May 2017.

Visualisation of interactions within protein complexes
Code	Start date	Value	Contact
1208	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Chen Davidovich (Monash BDI), Ralf Schittenhelm (Monash Biomedical Proteomics Facility), Michael Wybrow and Tobias Czauderna (FIT) Email: michael.wybrow@monash.edu Phone: 0399059089
Prerequisites Strong programming skills. Ideally HTML5, JavaScript and graphics experience.
Additional details Most proteins in cells interact with other proteins to form large “complexes”. These interactions help us understand how proteins fulfil their biological function and how this is disrupted by disease. Cross-linking mass spectrometry (XL-MS) is a powerful technique that allows for accurate mapping of protein-protein interactions. Although several tools exist to visualise XL-MS results, none currently visualise large changes in cross-linking patterns between different complexes or experimental conditions. Nor do these approaches utilise partial 3D structures of proteins for the visualisation of XL-MS data (such as determined by x-ray crystallography for portions of a complex). This project aims to develop a user-friendly tool for comparative analysis and visualisation of XL-MS data in cases where 3D structures are available for all, part or none of the proteins within the complex of interest. It will combine interdisciplinary expertise in structural biology and biochemistry of large macromolecular complexes (Chen Davidovich, Lab head at Monash BDI), proteomics and mass spectrometry (Ralf Schittenhelm, Director of Monash Biomedical Proteomics Facility) and visualisation (Michael Wybrow and Tobias Czauderna, Faculty of IT). This project is available to third year undergraduate and postgraduate students.
Applications Applications closed on Friday, 19 May 2017.

Developing an R wrapper for the snob clustering software
Code	Start date	Value	Contact
1213	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Dr Christoph Bergmeir, Assoc Prof David Dowe Email: christoph.bergmeir@monash.edu
Prerequisites units, degree, experience or restrictions on student types (UG, PG or both): Strong programming skills, e.g., C/C++. Desirable: Fortran and R.
Additional details The 'Snob' software, developed by Monash FIT founding professor Chris Wallace, for Minimum Message Length (MML) and finite mixture modelling, in the 1960s and subsequently, is still today regarded by some as the state of the art in the field. Many applications, work of PhD students in the Faculty, etc., could potentially benefit from its use. However, it is not as publicly known and used as its utility and quality may suggest. This is mainly due to the software being Fortran code on an insulated Monash web page that is not widely advertised and known. This project is the continuation of an ongoing project to develop an R package to make the Snob software easy to use from within R, and give it great visibility in the R community. As R is one of the de-facto standards among nowadays data science practitioners, this means great visibility in a big chunk of the relevant community as a whole. The student would continue to develop a software that has the potential to become very popular and useful. The task is mainly to implement a wrapper in the R programming language for existing Fortran code. The main challenge will lie in partly understanding and modifying the Fortran 77 code appropriately. References: R programming language: https://www.r-project.org/ https://www.rstudio.com/ http://www.datamining.monash.edu.au/software/snob http://www.csse.monash.edu.au/~dld/Snob.html Wallace, C.S. and D.L. Dowe (1994b), 'Intrinsic classification by MML - the Snob program', Proc. 7th Australian Joint Conf. on Artificial Intelligence, UNE, Armidale, Australia, November 1994, pp37-44 Wallace, C.S. and D.L. Dowe (2000), 'MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions', Statistics and Computing, Vol. 10, No. 1, Jan. 2000, pp73-83 [p73, p74, p75, p76, p77, p78, p79, p80, p81,p82, p83]
Applications Applications closed on Friday, 19 May 2017.

Woodside - Improving interaction in the X3D Viewer
Code	Start date	Value	Contact
1214	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Dr Michael Wybrow (FIT), Dr Tobias Czauderna (FIT) Email: michael.wybrow@monash.edu
Prerequisites Applicant should have experience with JavaScript and some experience with 3D software or 3D mathematics.
Additional details X3D is a web standard for displaying 3D models in the browser. We have an exciting project with Woodside Energy that involves visualising and interacting with 3D models of a Liquefied Natural Gas (LNG) production plant using X3D. This winter project will involve you extending the X3DOM.js based X3D viewer to support “turn-table” interaction (essentially rotation around the vertical axis) and allow the connection of software-based mouse events to enable its use for remote collaboration. X3D: http://www.web3d.org/getting-started-x3d X3DOM: https://www.x3dom.org/, https://github.com/x3dom/x3dom Project available to undergraduate and postgraduate students.
Applications Applications closed on Friday, 19 May 2017.

Woodside - Re-engineering LNG plant layout from 3D models
Code	Start date	Value	Contact
1221	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Dr Michael Wybrow (FIT), Dr Tobias Czauderna (FIT) Email: michael.wybrow@monash.edu
Prerequisites Applicant should have experience with Python and some experience with 3D software or 3D mathematics.
Additional details We have an exciting project with Woodside Energy that involves optimising the layout of a Liquefied Natural Gas (LNG) production plant. As part of the project, we have software that can semi-automatically extract the dimensions and positions of vessels and pipes from a detailed 3D model (Navisworks) of an LNG plant. We have used this to extract information on one unit (section) of the plant for evaluation and validation. This winter project would involve the use and possible extension of this method to extract details from other units in the LNG train. Project available to undergraduate and postgraduate students.
Applications Applications closed on Friday, 19 May 2017.

Woodside - The Matrix Method of piping flexibility analysis
Code	Start date	Value	Contact
1222	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Dr Gleb Belov (FIT) Email: Gleb.Belov@monash.edu
Prerequisites Software programming in C++, knowledge of linear equation systems
Additional details We have an exciting project with Woodside Energy that involves optimising the layout of a Liquefied Natural Gas (LNG) production plant. As part of the project, we need to find an optimal route for all the pipes connecting the different equipment in the plant. Some of the constraints on the pipes deal with the stresses caused by thermal expansion (as the temperatures of some of the materials flowing these pipes can be quite extreme). The task for this project is to develop a C++ class for computing stresses using the classical Matrix Method.
Applications Applications closed on Friday, 19 May 2017.

Woodside - Non-axis-parallel pipe segments by post-processing
Code	Start date	Value	Contact
1223	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Dr Gleb Belov (FIT) Email: Gleb.Belov@monash.edu
Prerequisites Software programming in C++, basic 3D computational geometry.
Additional details We have an exciting project with Woodside Energy that involves optimising the layout of a Liquefied Natural Gas (LNG) production plant. As part of the project, we need to find an optimal route for all the pipes connecting the different equipment in the plant. Historically, due to a mainly manual design process, the design favoured axis-parallel segments, since they were simpler to calculate. We would like our automated design system to consider more general pipe directions. The task for this project is to create a post-processing method of pipe routing that takes a pipe with axis-parallel segments and produces more general routes where appropriate.
Applications Applications closed on Friday, 19 May 2017.

Integer Linear Programming Models for Creating Readable Visualisations
Code	Start date	Value	Contact
1231	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Dr Pierre Le Bodic, Assoc Professor Tim Dwyer Email: pierre.lebodic@monash.edu
Additional details When visualising abstract data, that is, data that does not have an inherent spatial arrangement - such as network or graph data - we are free to arrange the elements of the visualisation in such a way that they are as readable as possible. For example, a circuit diagram can be rearranged to untangle crossing wires, a social network diagram can be arranged such that cliques and transitive relationships are clear, biological diagrams can be arranged such that important proteins are clearly evident. These are all instances of optimisation problems that are often far from trivial to solve. Traditionally, these kinds of network visualisation problems have been tackled through specialised algorithms or heuristics that do not provide an optimal solution, and which are not easily extended to handle different requirements (such as slightly different types of data). In this project we will explore Integer Linear Programming (ILP) models for these kinds of problems. ILP models offer a declarative description of the problem which can be entered directly into a general purpose solver to obtain an optimal solution. However, there are still challenges in finding models that can be solved efficiently and which succinctly and flexibly encode the problem domain.
Applications Applications closed on Friday, 19 May 2017.

sensiLab Dashboard
Code	Start date	Value	Contact
1241	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu
Prerequisites Programming experience in Javascript web development, RESTful APIs (such as Angular.js) is required.
Additional details The sensiLab dashboard is a project to give real time updates on activities and conditions in sensiLab. It will tie together data sources from multiple Internet of Things (IoT) platforms, web-based events, movement of people in the lab and data from remote sources. The data will be updated and displayed via a dynamic web page. This page will be displayed on a large LED wall, giving staff, students and visitors a realtime “snapshot” of the lab environment and current activities. The system also needs a back-end editor to allow editing and changes to dashboard content and layout. The dashboard should also allow scheduling of specific events to be displayed in advance. This project is suitable for both undergraduate and postgraduate students.
Applications Applications closed on Friday, 19 May 2017.

Magic Book
Code	Start date	Value	Contact
1242	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Professor Jon McCormack, Mr. Dilpreet Singh Email: jon.mccormack@monash.edu
Prerequisites Programming experience in either Python or C++ for augmented and mixed reality Experience in User Interface/User Experience design.
Additional details The magic book is an augmented reality book whose content can change dynamically while having the physical appearance of a regular book. Each page of the book is blank, but has invisible markers placed at the four corners of each page. An infrared camera detects the location of the markers and computes a transform to correctly project an image onto the currently visible page of the book from an overhead projector. In this project you will assist in developing content and use-case demonstrations for the book. Another goal is to improve latency and efficiency in the page recognition system (written in OpenCV/C++). You can see some inspirational videos at: https://www.youtube.com/watch?v=RLq4EvoKjFY and https://www.youtube.com/watch?v=800iJU0lNqc This project is suitable for both undergraduate and postgraduate students.
Applications Applications closed on Friday, 19 May 2017.

Augmented Reality Video Workflow
Code	Start date	Value	Contact
1243	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	A. Prof. Tim Dwyer, Prof. Jon McCormack, Dr. Maxime Cordeil Email: jon.mccormack@monash.edu
Prerequisites Computer science background, computer graphics, virtual reality, video editing.
Additional details Virtual Reality applications are becoming common places for numerous applications, such as scientific simulations, medicine, archeology, information visualisation... Videos are a great means of communication when developers want to show their applications to a broad audience. Today, the most compelling videos in this domain involve a superimposition of 'real life' capture videos and a video of the Virtual Reality application, which are called 'Mixed Reality' video. An example of Mixed Reality based videos is the Tilt Brush demo: https://www.youtube.com/watch?v=TckqNdrdbgk/ The aim of this project is to setup a workflow that will allow sensiLab staff to create such videos. This project will involve: Understanding the Unity SteamVR plugin for Mixed Reality videos Setting up a method to record the Mixed Reality videos Testing the method Writing a reference document This project will be a great opportunity to explore cutting edge video production of Virtual Reality based content. This project is suitable for both undergraduate and postgraduate students.
Applications Applications closed on Friday, 19 May 2017.

Data mining no-goods
Code	Start date	Value	Contact
1258	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Dr Guido Tack, Mr Kevin Leo, Prof Maria Garcia de la Banda Email: guido.tack@monash.edu
Additional details No-goods are an important technique that can speed up a certain type of algorithms by orders of magnitude. This helps us find much better solutions to important problems such as scheduling emergency services, managing a large fleet of delivery vehicles, improving public transport travel times, or optimising the engineering of complex machinery. In this project, you will use data mining techniques to help us understand (1) which no-goods work well and which ones don't; (2) whether there are groups of no-goods that work well together; and (3) whether we can learn something from the no-goods that helps us better understand the very structure of the problems we're trying to solve. Prerequisites: programming skills (e.g. Python and/or R), some background in data mining will be very helpful
Applications Applications closed on Friday, 19 May 2017.

Interactive visuals for vehicle routing
Code	Start date	Value	Contact
1259	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Dr Guido Tack, Prof Kim Marriott Email: guido.tack@monash.edu
Additional details Logistics companies operate in an extremely competitive market place and with very tight margins. They rely crucially on being able to plan optimal tours for their trucks, taking into account uncertain travel times, delays at customer sites, and other unforeseen events. We are developing software tools that can compute high-quality plans under complex constraints on driving times, customer and company requirements. Your task will be to build on our existing toolset to develop novel ways of visualising and interacting with the solutions generated by our algorithms. You will work as part of our team of optimisation and visualisation experts, and use modern web technology to create visuals that let planners easily compare different plans, make modifications, and get feedback on how that would affect the quality of the plan. Prerequisites: programming skills (ideally Python, JavaScript/D3, HTML, CSS), some background in visualisation or optimisation would be helpful
Applications Applications closed on Friday, 19 May 2017.

Forecast of electricity load and weather conditions
Code	Start date	Value	Contact
1260	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Dr Kaveh Rajab Khalilpour; Prof Lachlan Andrew Email: kr.khalilpour@monash.edu
Prerequisites Machine learning background
Additional details You have a house with PV and battery system. You desire to manage your system in a way to minimize your energy bill. The key requirement for such an aim is to predict the weather condition and your load over the next day. With these data, you could develop a scheduling method for your PV-battery system. The goal of this project is to develop efficient forecasting algorithms for short term projection of electricity demand and weather conditions (e.g. temperature, humidity, wind speed, and solar radiation). Students with prior knowledge (or motivation to master) in statistical analysis are suggested for this project. This project is suitable for postgraduate students.
Applications Applications closed on Friday, 19 May 2017.

Simulation and operation of PV-battery systems
Code	Start date	Value	Contact
1261	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Dr Kaveh Rajab Khalilpour; Dr Ariel Liebman Email: kr.khalilpour@monash.edu
Prerequisites Interest or background in Matlab Simulink; Python; Optimisation programming; Raspberry Pi
Additional details We have just passed a tipping point in PV uptake in Australia and some other places around the world. The next energy revolution is expected to be battery energy storage. The operation of integrated PV-battery systems is an interesting optimization problem. The goal of this research project is to simulate a PV-battery system using Matlab Simulink and then build a mockup PV and battery system, programmed and operated using Raspberry Pi. This project is suitable for both undergraduate and postgraduate students.
Applications Applications closed on Friday, 19 May 2017.

Data analysis and visualisation for electrification of remote underdeveloped locations
Code	Start date	Value	Contact
1262	26 June 2017 (negotiable)	$1600 ($400 x 4 weeks)	Dr Ariel Liebman, Dr Kaveh Rajab Khalilpour, Assoc Prof Tim Dwyer, Dr Lachlan Andrew, Dr Christoph Bregmier Email: ariel.liebman@monash.edu
Prerequisites Machine learning background; Data visualisation
Additional details A developing country has over 80,000 villages with about 10,000 being unelectrified. The government has allocated an insufficient budget for electrification of these villages? How would you prioritize the villages and select the right ones to be electrified first? The aim of this project is to utilize machine learning clustering technics to assess a database with 80,000 rows and develop decision support tools for helping decision makers in finding the most optimal (least cost and fair) set of villages for electrification. Currently a MSc student is working on machine learning, and the successful applicant for this project will work closely with the MSc student with a focus on web-based data visualisation. This project is suitable for both undergraduate and postgraduate students.
Applications Applications closed on Friday, 19 May 2017.

Towards more accurate estimation of electrical device usage from smart meters data
Code	Start date	Value	Contact
1263	26 June 2017 (negotiable)	$2000 ($500 x 4 weeks)	Dr. Lachlan Andrew, Dr. Zahraa S. Abdallah Email: zahraa.said.abdallah@monash.edu
Prerequisites Basic experience in working with multi-dimensions data. Familiar with machine learning concepts. Basic knowledge of preprocessing techniques.
Additional details Many stakeholders can benefit from knowing the energy consumption of different devices within a home. It helps users understand their bills, retailers to plan tariff systems and distributors to plan network expansion. However, placing meters on all devices is expensive. Instead, we will determine device level power consumption based on half-hourly aggregated data available from smart meters. For many devices, validation of power consumption can be detected visually by trained observers. This project will seek “ground truth” use of several device types by visually inspecting the estimates of state-of-the-art disaggregation techniques, and sub-metering a small number of homes. The data covers up to 60,000 homes with the power consumption of specific individual devices. This will allow the accuracy of the algorithms to be assessed, and provide training data for more sophisticated supervised learning techniques.
Applications Applications closed on Friday, 19 May 2017.

Extraction and Analysis of Clinical and Pathological Data of UTIs in SCI Patients
Code	Start date	Value	Contact
1389	20 November 2017 (negotiable)	$6000 ($600 x 10 weeks)	Dr Grace Rumantir Email: grace.rumantir@monash.edu
Prerequisites MIT with minor thesis in Intelligent Systems, MDS
Additional details Skills in SQL and R are required The project involves working in a hospital setting to extract historical re-admission data and related laboratory results from a few hospital databases. The dataset is to be used for modelling to find general change patterns in the bladder flora associated with repeatedly admitted patients from the perspective of demographic, time and place of hospital re-admittance over time.
Applications Applications closed on Friday, 6 October 2017.

Data Science for Social Good: Are Australian libraries paying too much for e-books?
Code	Start date	Value	Contact
1390	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Dr Francois Petitjean Email: francois.petitjean@monash.edu
Prerequisites CS student or experience in Data Science. Programming, data structures, visualisation, Javascript and Python a plus.
Additional details Ebooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. This project aims to study if Australian libraries are paying more than other English-language countries to access e- books, by comparing availability, terms of access, and price, for 200,000 titles and across 5 jurisdictions. The data has been collected and the student will be in charge of developing a dashboard to interactively analyse the data. This is an exciting opportunity for an excellent student to get exposure to leading research teams in Data Science, Social Sciences and Law.
Applications Applications closed on Friday, 6 October 2017.

Who writes Wikipedia? An interactive dashboard.
Code	Start date	Value	Contact
1394	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Dr Julian Garcia and Dr Francois Petitjean Email: julian.garcia@monash.edu
Prerequisites CS student or experience in Data Science. Programming, data structures, visualisation, Javascript and Python a plus.
Additional details The question of who writes Wikipedia is not settled. The official account is that the popular encyclopedia gathers 72% of its content from a meagre 1.8% of its user base [1], but different accounts have emerged using different measures, implying that the picture is not straightforward [2]. Is wikipedia like a traditional encyclopedia where most of the content is contributed by a select few? Or is it truly a public good created out of the volunteered contributions of many. This is a pressing question in an age where unedited information is turning out to be critical in important social and political processes worldwide. The idea of this project is to mine contribution data to create a picture of how different Wikipedia pages are built, and who writes them. The Wikipedia dashboard will show how all pages compare to each other in terms of number of edits, lifetime, average size of the edit, number of anonymous contributions etc. An interesting research question here will be to assess the importance of an edit from its content, and thus to be able to categorise contributions (eg ‘formater’, ‘editor’, ‘vandal’, etc). [1] Charles Arthur. What is the 1% rule? The Guardian ​ http://j.mp/1VPKYrO [2] Aaron Swartz. Who writes wikipedia? ​ http://www.aaronsw.com/2002/whowriteswikipedia/
Applications Applications closed on Friday, 6 October 2017.

Multiplayer game framework (Unreal Engine)
Code	Start date	Value	Contact
1407	20 November 2017 (negotiable)	$2500 ($250 x 10 weeks)	Mr Chris Nelson Email: chris.nelson@monash.edu
Prerequisites FIT2097 Game Programming 2 (Unreal Engine 4, Blueprints, C++)
Additional details The project will be to create the multiplayer game framework, using Unreal Engine 4 (C++ & Blueprints), for an online, multiplayer game to be used in a research project.
Applications Applications closed on Friday, 6 October 2017.

A Public Face for Science:Computer simulations of pollinating insects and flowering plants
Code	Start date	Value	Contact
1429	20 November 2017 (negotiable)	$2800 ($350 x 8 weeks)	Assoc Prof Alan Dorin Email: alan.dorin@monash.edu
Additional details How do insects perceive flowers? How do they navigate in complex environments? How do bees behave among flowering plants and agricultural crops? Answers to these questions are vital to humans for our food security and for the sustainable maintenance of the natural ecosystems that support our planet. But, as the global climate shifts, the behaviours of these important insect allies are changing in ways that are difficult to predict. Our computer simulations are helping us, and our horticultural industry collaborators, to unravel the complexities of insect-plant interactions. This knowledge is being applied to safeguard global food supplies and to understand natural ecosystem evolution. Summer project detail. In this project, an interactive hyper-linked video will be produced documenting the importance of insect/crop relationships for food and seed production. The simulations we have programmed will be demonstrated visually to show the impact insect perceptual and cognitive capabilities have on crop flower identification (by insects) and crop pollination. We will demonstrate the simulations we have devised showing the impact bee learning, bee vision and bee memory capabilities have on flower visitation rates and pollination, and will highlight the follow-on effects these factors have on the floral colour distributions of Australia, and in locations where there are no bees. This production will enable viewers to explore: • what computer simulations can tell us about the real world; • the importance of human impact on insects; • the importance of insects for food production; • the subtle impacts of climate change on insects and food production; • the research we are conducting on all of these issues! The intention is to use this material to promote our work to industry, to potential postgraduate students, to the community in general, and to help us attract researchers to contribute to our efforts to secure our food in what may well become “A World Without Bees”. Skill set required by applicants: * Multi-media production expertise * Interest in (and understanding of) science-communication * Video production capability for live-action and digital materials * Macro video-production expertise or committment to learn macro videography techniques * Excellent English communication skills * Willingness to work with a multidisciplinary team of scientists, outdoors and indoors
Applications Applications closed on Friday, 6 October 2017.

Towards Trustworthy and Secure Outsourced Middleboxes
Code	Start date	Value	Contact
1430	20 November 2017 (negotiable)	$4998 ($357 x 14 weeks)	Dr. Xingliang Yuan Email: xingliang.yuan@monash.edu Phone: Xingliang Yuan
Prerequisites The candidate should have background on cryptography, information security, and computer networks. Experiences on network programming and cryptographic libraries are highly preferred.
Additional details Network middleboxes have become fundamental components in today's Internet infrastructure. They offer a wide range of advanced traffic-processing functions, such as intrusion detection, firewalls, and load balancers, and bring security and performance benefits to enterprises. Recent efforts from industry and academia are increasingly pushing forward the software middlebox appliances, termed ``network function virtualization'' (NFV). Along with this trend, third-party service providers, such as public clouds, ISPs, and emerging NFV companies, begin to offer middleboxes as virtualized services. While the benefits of outsourced middleboxes are well understood, such as reduced local maintenance burdens and increased service scalability, the fact that enterprises no longer have direct control of critical network functions brings in a number of fundamental security challenges. In this project, we aim to implement a secure and practical middlebox system to address the related security and privacy issues. The project will offer opportunities for interdisciplinary training across domains of networking, security, cryptographic, and system engineering.
Applications Applications closed on Friday, 6 October 2017.

Predicting mortality following cardiac arrest
Code	Start date	Value	Contact
1433	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Dr Christoph Bergmeir Email: christoph.bergmeir@monash.edu Phone: 0399059089 More information about project #1433
Prerequisites Strong programming skills, interest in data analysis/visualization, R and/or Python programming skills. TensorFlow experience desirable.
Additional details The project is a research project and ideally we are looking for a student who wants to continue this research afterwards as a Masters/Honours project. Cardiac arrest refers to a condition where the heart ceases to function, often due to a heart attack (the interruption of blood supply to the heart). The condition is life threatening however there is significant heterogeneity in terms of survival of patients who have a cardiac arrest and come to intensive care units. Although some clinical scoring systems exist (i.e. APACHE) in regard to predicting mortality, they remain somewhat inaccurate. Using a combined dataset including intensive care data and ambulance data, we aim to compare existing scoring systems and then develop a new predictive model utilising machine learning techniques to accurately predict mortality following out of hospital cardiac arrest.
Applications Applications closed on Friday, 6 October 2017.

Obtaining exact solutions by exploring feasible solutions with approximation algorithms
Code	Start date	Value	Contact
1436	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Dr Pierre Le Bodic Email: pierre.lebodic@monash.edu
Prerequisites Complexity, algorithms, approximation, and preferably some optimisation (ideally Mixed-Integer Programming). Solid coding skills, ideally with knowledge in C. Curiosity and taste for research.
Additional details We propose to investigate the benefits of using approximation algorithms to obtain dual bounds and use these in a branch-and-bound algorithm to solve combinatorial optimisation problems. This project will require you to code and test new algorithms, and possibly interface them with SCIP, an open-source Mixed-Integer Programming solver.
Applications Applications closed on Friday, 6 October 2017.

Visualisation of interactions within protein complexes in 3D
Code	Start date	Value	Contact
1505	20 November 2017 (negotiable)	$4000 ($500 x 8 weeks)	Dr Tobias Czauderna, Dr Michael Wybrow Email: tobias.czauderna@monash.edu
Prerequisites JavaScript programming skills necessary, ideally experience with D3, 3D graphics
Additional details Most proteins in cells interact with other proteins to form large complexes. These interactions help us understand how proteins fulfil their biological function and how this is disrupted by disease. Cross-linking mass spectrometry (XL-MS) is a powerful technique that allows for accurate mapping of protein-protein interactions. Although several tools exist to visualise XL-MS results, none currently visualise large changes in cross-linking patterns between different complexes or provide a comparative visualisation for different experimental conditions. Nor do these approaches utilise 3D structures of proteins for the visualisation of XL-MS data (such as determined by x-ray crystallography for portions of a complex). The project started in July 2017 combining interdisciplinary expertise in structural biology and biochemistry of large macromolecular complexes (A/Prof Chen Davidovich, Group Leader Monash Biomedicine Discovery Institute), proteomics and mass spectrometry (Dr Ralf Schittenhelm, Scientific Director of Monash Biomedical Proteomics Facility) and visualisation (Dr Michael Wybrow and Dr Tobias Czauderna, Faculty of Information Technology). Currently a web-based prototype app provides basic features for users to visualise XL-MS datasets in 2D and to perform simple comparative analysis. In the next stage the project aims to extend this prototype towards 3D visualisation of XL-MS data in cases where 3D structures are available for the proteins within the complex of interest. The app should potentially be based on WebVR technologies or Unity and utilise different display technologies such as head-mounted displays (e.g., Oculus Rift, HTC Vive, or HoloLens) and 3D stereoscopic displays (e.g., CAVE2 at Monash University).
Applications Applications closed on Friday, 6 October 2017.

Demonstrating Text Analysis
Code	Start date	Value	Contact
1506	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Professor Wray Buntine Email: wray.buntine@monash.edu Research profile: Professor Wray Buntine
Prerequisites good experience with Javascript and Java; basic knowledge of machine learning, AI or visualisation helpful.
Additional details In research recent (ICML 2017, ICDM 2017) we have demonstrated superior performance in developing topic models that are mmore commprehensible and accurate using side information like word embeddings and classification hierarchies. Moreover, in recent times Determinantal Point Processes have emerged as a natural model for diversity and are ideal for information summarisation. The technique is based on some standard matrix operations once a feature vector (to measure similarity) is defined. In this project, we will develop an explorer for a given document collection, for instance a set of tweets or historical documents. The explorer will use the topic model to develop features and then return distinctive sets for summarisation such as words and documents. The work required is as follows: (1) establish a suitable collection which has associated classification structure and semantic word mappings, (2) create a simple SOLR web search interface, (3) develop topic models using our algorithms, (4) write the diversity supporting sampler based on DPPs, and (5) develop a web display for the results (documents or words). The first task we will resolve before the start of the project. The student should be able to programme in Javascript and interface with pre-existing tools in Java such as SOLR, our topic model system (in Java) and DPP sampling code.
Applications Applications closed on Friday, 6 October 2017.

spatio-temporal analysis of construction site data
Code	Start date	Value	Contact
1507	20 November 2017 (negotiable)	$4000 ($500 x 8 weeks)	Dr Zahraa Abdallah Email: zahraa.said.abdallah@monash.edu
Prerequisites Experience in working with multi-dimensions data. Familiar with machine learning concepts. Basic knowledge of preprocessing techniques. (optional) pre-requisite units: FIT5196, FIT5149
Additional details There is a significant sentiment to shift the existing ‘static’, paper based quality manual systems within industries such as the construction, transport and professional services, targeting an ‘active’ project collaboration and integrated management approach, using mobile and cloud technologies. With this shift, machine learning is a powerful tool that can turn the collected data into a competitive advantage and lead to strategic goals being accomplished. The aim of this project is to apply machine learning techniques on spatial-temporal data related to work activities collected from construction sites. Recognising workers’ contextual activities will provide insights for a quantitative understanding of safety and productivity aspects. That will lead to reduce uncertainty regarding workplace incidents and improve planning, task assignment and workforce management, allowing for downstream optimisation of metrics that take workforce safety and productivity into account via quantitative decision-making.
Applications Applications closed on Friday, 6 October 2017.

Machine learning
Code	Start date	Value	Contact
1508	20 November 2017 (negotiable)	$2400 ($400 x 6 weeks)	Prof Geoff Webb Email: geoff.webb@monash.edu
Prerequisites Experience conducting machine learning research.
Applications Applications closed on Friday, 6 October 2017.

Unified framework for real-time immersive visualisation of multi-sensor data
Code	Start date	Value	Contact
1509	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Dr Hieu Nim Email: hieu.nim@monash.edu
Prerequisites app development, IOS, javascript, D3
Additional details The Summer Research Scholar is expected to integrate data from motion, temperature, glucometer, and heart rate sensors. Data have different time-scales (days, weeks, months) and time-intervals (every 5 seconds to every 5 minutes). Some sensors (e.g. glucometer) use proprietary databases, but there exist some community source code to access these databases programmatically. The front end is expected to be both web-based (javascript, D3) and mobile devices (IOS app). Upon implementing this initial visualisation environment, the Summer Research Scholar will help conduct expert interviews and user studies, to evaluate the effectiveness of the visualisation environments.
Applications Applications closed on Friday, 6 October 2017.

Pathfinding in Games
Code	Start date	Value	Contact
1512	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Dr Daniel Harabor Email: daniel.harabor@monash.edu
Prerequisites FIT3080 (Intelligent Systems) or demonstrated familiarity with AI Search (e.g. you've implemented Dijkstra's algorithm or A*, perhaps in a game or a similar context) You should also have experience with C or C++
Additional details Pathfinding is fundamental operation in video game AI: virtual characters need to move from location A to location B in order to explore their environment, gather resources or otherwise coordinate themselves in the course of play. Though simple in principle such problems are surprisingly challenging for game developers: computed paths should be short and appear realistic but they must be computed very quickly, usually with limited CPU resources and using only small amounts of memory. In this project you will develop new and efficient pathfinding techniques for game characters operating in a 2D or 3D game environment. There are many possibilities for you to explore. For example, you might choose to investigate a class of ``symmetry breaking'' pathfinding techniques which speed up search by eliminating equivalent (and thus redundant) alternative paths. Another possibility involves dynamic settings where the game world changes (e.g. an open door becomes closed) and characters must re-plan their routes. A third possibility is multi-agent pathfinding, such as cooperative settings where groups of characters move at the same time or where one character tries to evade another. This project is ideally suited to a student who enjoys both algorithms and programming. Such a student should be familiar with the Linux (or macOS) command line (e.g. you know about 'make' and friends) and will have some exposure to C or C++. Successful projects may lead to publication and/or entry to the annual Grid-based Path Planning Competition.
Applications Applications closed on Friday, 6 October 2017.

A Visual Debugger for Pathfinding Search
Code	Start date	Value	Contact
1513	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Dr Daniel Harabor, Dr Michael Wybrow Email: daniel.harabor@monash.edu
Prerequisites You should have experience with JavaScript and related web technologies. Some exposure to C or C++ would also be helpful.
Additional details In this project we will develop a tool to help practitioners understand and implement different types of pathfinding algorithms. The idea is simple: first, we will create a generic schema which defines the main steps of pathfinding search. Next, we will add support for the schema into an existing pathfinding library. Finally, we will develop an application which can can interact with a running search. A central aim of this project is to allow users to explore the search process, showing information such as nodes generated, nodes expanded, the current frontier of the search, the best partial solution found so far and so on. We will also add support for breakpoints and watchpoints: two debugging techniques that track a running program and pause it when an interesting event occurs. This program will be developed primarily as a web application. It will be powered by a small server which uses the Warthog pathfinding library to solve different types of pathfinding problems. Because Warthog implements a variety of both standard and modern pathfinding techniques such a tool will also provide users with a glimpse into the cutting-edge research Monash is doing in this area -- and why it works so well!
Applications Applications closed on Friday, 6 October 2017.

Clustering for hierarchical time series forecasting with big time series data
Code	Start date	Value	Contact
1514	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Christoph Bergmeir, Assoc Prof David Dowe Email: christoph.bergmeir@monash.edu
Prerequisites Strong programming skills, interest in data analysis/visualization, R programming skills.
Additional details The student will work as part of a team in an ongoing research project. The project description is as follows. Time series forecasting with large amounts of data gets more and more important in many fields. In this project, we will work with data from a large optical retail company that sells up to 70,000 different products in 44 different countries in over 6000 stores world wide. The goal is to produce accurate sales forecasts, which the company can use for store replenishment and -- more importantly -- supply chain management. The products are mainly produced in China, and have several weeks of lead time from production until they can be sold in a store. The main challenge of this dataset is that many of the products are similar but have a short history as the assortment changes relatively quickly with fashion trends, so just using univariate time series forecasting may often not be possible due to this short history. In this project, we aim to apply different clustering techniques (kmeans, dbscan, MML-based clustering) on features extracted from the time series and features that are known independently (master data). In this way, we can determine the similarity between series and can then use the these similarities in subsequent forecasting steps, to achieve more accurate forecasts.
Applications Applications closed on Friday, 6 October 2017.

Three-dimensional geographic flow maps
Code	Start date	Value	Contact
1519	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Associate Professor Bernie jenny Email: bernie.jenny@monash.edu
Prerequisites Programming skills, interest in geographic visualisation
Additional details The goal of this project is to develop methods for the visualisation of geographic flows in three dimensions. You will (1) develop an algorithm for 2D maps that arranges flows on the z-axis and renders them with a ray-tracer and (2) conduct a user study to compare 2D and 3D flow maps. It is expected that you will co-author an article for an academic journal with the results of this internship.
Applications Applications closed on Friday, 6 October 2017.

Relief Shading for Google Maps
Code	Start date	Value	Contact
1520	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Associate Professor Bernie jenny Email: bernie.jenny@monash.edu
Prerequisites Programming skills, interest in geographic visualisation
Additional details Google are sponsoring this research project to develop a new method for shading terrain for their maps. Relief shading is an effective and widely used method to show hills and valleys with subtle brightness gradients in maps. Continuous-tone raster images are traditionally used to store and render shaded relief. However, the latest version of Google Maps uses client-side rendering of vector data, which results in less informative and less pleasing shaded relief. The goal of this project is to develop a method for rendering continuous-tone shaded relief images for web maps from terrain skeletal lines. A first prototype has been developed using diffusion shading, which is an efficient way to create smooth colour gradients from vector data. You may either (1) use the new WebGL 2 standard for browsers to render shaded relief with the diffusion shading method for web maps; or (2) improve the prototype to diffuse illumination directions instead of greyscale brightness values. It is expected that you will co-author an article for an academic journal with the results of this internship.
Applications Applications closed on Friday, 6 October 2017.

Extracting ridgelines from terrain models for relief shading
Code	Start date	Value	Contact
1521	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Associate Professor Bernie jenny Email: bernie.jenny@monash.edu
Prerequisites Programming skills, interest in geographic visualisation
Additional details Topographic structures, such as ridgelines or valley lines, can be extracted from digital elevation models. “Maximum branch length” is an algorithm for extracting high-quality ridgelines that are used for creating shaded relief images or for hydrographic analyses. An open-source implementation is available in Whitebox GAT, which is an open-source geographic information system. Unfortunately the maximum branch length algorithm is very slow; it can take several hours to compute the ridgelines for a relatively small terrain model. You will accelerate this algorithm by using a directed graph. This graph tree is constructed from the terrain. Instead of a pixel-by-pixel tracing of the terrain model, you will use Dijkstra's shortest path algorithm to extract flow paths and ridgelines. It is expected that you will co-author an article for an academic journal with the results of this internship.
Applications Applications closed on Friday, 6 October 2017.

Outdoor Augmented Reality
Code	Start date	Value	Contact
1522	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Associate Professor Bernie jenny Email: bernie.jenny@monash.edu
Prerequisites Programming skills, interest in augmented reality and 3D modelling
Additional details Augmented Reality (AR) is still in an early, exploratory phase, but is likely to change the way we work and play. It is expected that one of the ultimate uses of AR technologies will be as a new form of location-based media that enables new storytelling experiences. The goal of this project is to develop a prototype app with augmented reality functionality for mobile phones or tablets for a part of Melbourne. The app will guide users along a route using state-of-the-art visualisation technology to develop a captivating narrative. The app will combine computer vision algorithms to track physical features, such as building facades, monuments, and other stationary objects. The tracked locales will be the stages for the story and will be enhanced with 3D and multimedia elements to convey an immersive experience. You will first evaluate different AR frameworks, then design and implement an AR app. You will collaborate with a public entity, such as Melbourne Metro or City of Melbourne, possibly in the context of the Melbourne Metro Tunnel project.
Applications Applications closed on Friday, 6 October 2017.

Adaptive composite projections for geographic maps
Code	Start date	Value	Contact
1523	20 November 2017 (negotiable)	$5000 ($500 x 10 weeks)	Associate Professor Bernie jenny Email: bernie.jenny@monash.edu
Prerequisites Web programming skills, interest in cartography and map projections.
Additional details Adaptive composite map projections combine several projections and adapt the map's geometry to map scale, the map's height-to-width ratio, and the central latitude of the displayed area. Multiple projections are combined and their parameters adjusted to create seamless transitions as the user zooms or pans the map. Unlike the Mercator projection (which is currently used by all major web maps) composite projections can show the entire globe including poles, and they show geography without area distortion. You will optimise an existing implementation to minimise map distortion. You will develop a method for quantifying map distortion and use this method to optimise the projections such that resulting maps have a minimum of distortion. It is expected that you will co-author an article for an academic journal with the results of this internship. Also see http://cartography.oregonstate.edu/ScaleAdaptiveWebMapProjections.html You may collaborate with map projection experts at Esri, California.
Applications Applications closed on Friday, 6 October 2017.

Woodside - Equipment Allocation in a Chemical Process Plant
Code	Start date	Value	Contact
1524	20 November 2017 (negotiable)	$4000 ($500 x 8 weeks)	Dr Gleb Belov Email: gleb.belov@monash.edu
Prerequisites Software programming. Experience in mathematical optimization is helpful
Additional details We have an exciting project with Woodside Energy that involves optimising the layout of a Liquefied Natural Gas (LNG) production plant. The design of the geometric layout of a chemical plant involves assigning the location of processing equipment and connecting elements, such as pipes and support structures. This involves many constraints and objectives and is currently done manually in practice [1,3]. The objectives are connected, e.g., to costs, while some of the constraints are: Relative positions due to process & safety requirements Maintenance access The task is to do equipment allocation by a fast approximative algorithm such as graph drawing method [2], or local neighbourhood search [4]. References [1] G. Belov et al. An optimization model of 3D pipe routing with flexibility constraints. 2017 [2] T. Dwyer et al. IPSep-CoLa: An incremental procedure for separation constraint layout of graphs. 2006 [3] Guirardello & Swaney. Optimization of process plant layout with pipe routing. 2005 [4] G. Xu and L. G. Papageorgiou. Process plant layout using an improvement-type algorithm. Chemical Engineering Research and Design, 87(6):780–788, 2009
Applications Applications closed on Friday, 6 October 2017.

Woodside - Fast pipe routing in chemical process plant layout design
Code	Start date	Value	Contact
1525	20 November 2017 (negotiable)	$4000 ($500 x 8 weeks)	Dr Gleb Belov Email: Gleb.Belov@monash.edu
Prerequisites Software programming in a fast language such as C++, basic 3D computational geometry. Experience in combinatorial optimization is helpful.
Additional details We have an exciting project with Woodside Energy that involves optimising the layout of a Liquefied Natural Gas (LNG) production plant. As part of the project, we need to find good or optimal routes for all the pipes connecting the different equipment in the plant. We are looking for fast algorithms for pipe routing, for example the following tasks: Fast heuristic pipe routing. The purpose is a very fast routing algorithm which can help better estimate the pipe lengths for equipment allocation, where it's otherwise taken as the Manhattan distance. This subtopic could extend the jump-point search technique [4] Fast pipe routing. This could use 3D path finding procedures with iterative context expansion. The basic problem statement includes bend penalties and support zone penalties. Further going constraints can involve branchings and flexibility constraints, as well as interactions with the fast heuristic and with equipment allocation. References [1] G. Belov et al. An optimization model of 3D pipe routing with flexibility constraints. 2017 [2] T. Dwyer et al. IPSep-CoLa: An incremental procedure for separation constraint layout of graphs. 2006 [3] Guirardello & Swaney. Optimization of process plant layout with pipe routing. 2005 [4] Witmer, Nathan (5 May 2013). 'Jump Point Search Explained'. zerowidth positive lookahead
Applications Applications closed on Friday, 6 October 2017.

Simulator of Early Warning System for Preventing the Escalation of Peatland Surface Fires
Code	Start date	Value	Contact
1526	25 June 2018 (negotiable)	$2000 ($500 x 4 weeks)	Dr Grace Rumantir Email: grace.rumantir@monash.edu
Prerequisites MIT with minor thesis in Intelligent Systems, MDS. Skills in 2D and 3D Geo-simulation and visualization in Arc GIS are also required
Additional details The projec is to build a simulator and an illustrative video thereof, illustrating how an early warning system of surface fire escalation in peatland area is put into action. The early warning system is, at the heart of it, a free app containing a Causal Model that calculates the probability that a spot fire will escalate into a wild fire. This early warning system requires real-time information of spot fires - from satellites (cloud cover is a problem) and from thermal surveillance cameras (to be mounted on a drone or installed on the ground), real-time measurements of the levels of ground water table - from gauging devices to be installed on the ground), weather and other environmental information from relevant authorities, locations of deep wells and volunteer fire fighters - existing and new ones to be set up for this project. All these information are fed into the Causal Model which then calculates the probability of each spot fire to turn into wild fire. From running this model measurements can be collected on the impact of the fire prevention actions triggered by the early warning system in reducing the greenhouse gas emissions in the respective peatland area. Also built in the visual simulation tool of the early warning system is a functionality to show how canals can best be blocked to maximally increase the levels of ground water table which reduce the flammability of peat (fuel) on the ground in a particular area.
Applications Applications closed on Friday, 18 May 2018.

Woodside - Extending the X3D Viewer towards interactive optimisation
Code	Start date	Value	Contact
1528	20 November 2017 (negotiable)	$4000 ($500 x 8 weeks)	Dr Michael Wybrow, Dr Tobias Czauderna, Matthias Klapperstueck Email: tobias.czauderna@monash.edu
Prerequisites JavaScript programming skills necessary, ideally experience with 3D graphics, 3D software, 3D mathematics
Additional details We have an exciting project with Woodside Energy that involves optimising the layout of a Liquefied Natural Gas (LNG) production plant. As part of the project, we visualise a 3D model (equipment + pipes connecting the equipment) of the plant applying the optimised layout. Therefore we use X3D to describe the model and X3DOM to visualise the X3D in the browser and to interact with the model. In the next stage, we would like to provide visualisation of parameters required for the optimisation, e.g., safety distances, maintenance areas, support zones for pipes, etc. as well as allow manipulation of the model, i.e., movement of equipment, movement of pipe segments, changing of optimisation parameters, etc. This project will investigate how this can be achieved. X3D: http://www.web3d.org/getting-started-x3d X3DOM: https://www.x3dom.org/
Applications Applications closed on Friday, 6 October 2017.

Woodside - 2D LNG Plant Editor
Code	Start date	Value	Contact
1529	20 November 2017 (negotiable)	$4000 ($500 x 8 weeks)	Dr Michael Wybrow, Dr Tobias Czauderna, Matthias Klapperstueck Email: tobias.czauderna@monash.edu
Prerequisites programming skills necessary, ideally experience with user interface design
Additional details We have an exciting project with Woodside Energy that involves optimising the layout of a Liquefied Natural Gas (LNG) production plant. As part of the project, we are developing a 2D editor to graphically create a topological description of the plant including all equipment and the pipes connecting the equipment. This editor can currently be used for a limited set of equipment and simple piping. Additionally, the editor provides some means to the user to enter parameters necessary for the optimisation. In an extended version the editor should support a more comprehensive set of equipment, more complex piping (e.g., specifying t-junctions), and a user-friendly input for the optimisation parameters.
Applications Applications closed on Friday, 6 October 2017.

3D Visualiser
Code	Start date	Value	Contact
1532	20 November 2017 (negotiable)	$4000 ($500 x 8 weeks)	Professor Jon McCormack, Mr. Elliott Wilson Email: jon.mccormack@monash.edu
Prerequisites 3D graphics programming experience in Unity or similar
Additional details Deep Immersion is SensiLab’s state-of-the-art immersive visualisation platform. In consists of multiple 4k stereo video projectors, a cycloramic screen, a 7.2 surround sound system and a full body motion tracking system. In this project you will develop a 3D visualisation platform that presents complex geometry interactively. The system will be used for interactive data visualisation purposes and should be able to track the position of the viewer to always present a stereo image from the correct perspective. You will also experiment with a number of new interaction technologies to enable seamless interaction with the visualised models.
Applications Applications closed on Friday, 6 October 2017.

SensiLab Robotic Guide
Code	Start date	Value	Contact
1533	20 November 2017 (negotiable)	$4000 ($500 x 8 weeks)	Professor Jon McCormack, Mr. Partick Hutchings Email: jon.mccormack@monash.edu
Prerequisites Industrial design or Mechatronics
Additional details The SensiLab guide is a mobile robot designed to automate the description and operation of a number of displays around our lab. We have developed a Deep learning system capable of identifying and explaining objects around the lab. The system runs on an Nvidia Jetson (http://www.nvidia.com/object/jetson-tk1-embedded-dev-kit.html), a low powered GPU compute platform. In this project you will be involved in the physical and mechanical design of the robot, building a platform that allows it to freely navigate around the lab and greet visitors.
Applications Applications closed on Friday, 6 October 2017.

Autonomous Drawing Robots
Code	Start date	Value	Contact
1534	20 November 2017 (negotiable)	$4000 ($500 x 8 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu
Prerequisites To be accepted for this project, you’ll need to demonstrate existing skills in at least one of the following: Microcontroller programming, mechatronics & robotics, industrial design, fine art, artificial intelligence.
Additional details The aim of this project is to design and construct a variety of autonomous drawing robots. The robots operate without human intervention and are able to create complex drawings, diagrams and painted displays. The project will include design, building and programming of a range of different drawing robots. You will be based in sensiLab at Monash’s Caulfield campus. You’ll get to work with motors, sensors, micro-controllers, laser cutters, 3D printers, pens and paint brushes and probably make a lot of mess.
Applications Applications closed on Friday, 6 October 2017.

Publishing research simulation models
Code	Start date	Value	Contact
1572	25 June 2018 (negotiable)	$2600 ($650 x 4 weeks)	Professor David Green Email: david.green@monash.edu Phone: 0399059089
Prerequisites Must be an excellent programmer. Experience with Java language essential. Proven ability to implement user-friendly interfaces essential. Knowledgeable in (or willingness to learn about) designing GUIs using Swing and other Java UI frameworks, version control, and cross-platform app deployment.
Additional details When publishing research that is based on simulations, authors need to provide readers with some means of testing the results themselves. The goal of this project is to produce demonstrations of simulations that I have used in scientific research currently being prepared for publication. These include a review article about evolution and the second edition of a book about complexity in landscape ecology. The models are mostly cellular automata used to represent landscapes. The programs need to be user-friendly, stand-alone programs that can be run on various platforms. The resulting programs are to be placed online as supplementary material to the publications and will be made freely available. Students will be credited with their contribution to the programs. Open to UG or PG students
Applications Applications closed on Friday, 18 May 2018.

Smart Meter Water Data Analysis - Time Series, Forecasting, Clustering, Anomaly detection
Code	Start date	Value	Contact
1585	25 June 2018 (negotiable)	$2000 ($500 x 4 weeks)	Dr Christoph Bergmeir Email: christoph.bergmeir@monash.edu Phone: 0399059089
Prerequisites Strong programming skills, interest in data analysis/visualization, R programming skills. Experience with time series, time series forecasting in R desirable.
Additional details We work with a company that has smart meters for water in hundreds of households, and the project is a currently ongoing project around time series analysis, clustering, and outlier detection along the following lines: This project will be focused specifically on analysing customers’ data, and producing a series of recommendation systems. More specifically, the project has the following scope: Data Preparation. It is common that incoming data from meters and other sensors may be incomplete and include noise data. The raw data needs proper data cleaning, data integration, and data preparation, including handling missing and incomplete data. We will use database techniques to deal with incomplete and missing data. Data transformation will use the existing ETL techniques widely used in data warehousing. Data Analytics a. Customer Usage Benchmarking: It will be beneficial for customers if they know how their usage is compared to others, as well as to themselves. In comparing with others, we will use clustering techniques to clusters customers of similar usage patterns and profile. In benchmarking within each customer, we will develop algorithm to model usage prediction based on past usage. b. Customer Alerting: This is a combination between outlier detection and prediction that will be used to alert customers when an outlier event happens, such as leaks. The alert system will also use customer usage benchmarking in #2(a) above. This project is available to both UG and PG students.
Applications Applications closed on Friday, 18 May 2018.

Leveraging Data Analytics for Competitive Advantage in Professional Sport Project
Code	Start date	Value	Contact
1595	25 June 2018 (negotiable)	$2000 ($500 x 4 weeks)	Dr Christoph Bergmeir, Dr. Mark Carman, Dr. Daniel Schmidt Email: christoph.bergmeir@monash.edu Phone: 0399059089
Prerequisites Strong programming skills, interest in data analysis/visualization. Desirable: Experience with statistical graphical models, sparse regression.
Additional details This project aims to apply methodology for sparse regression and statistical graphical models in a sports analytics environment to data from an Australian Football League (AFL) Club. The project tries to answer the question which contribution an individual player made to a game outcome. This would greatly help coaches and sports organizations to assess player quality more reliably and base their decisions on evidence. Depending on funding and candidates, potentially multiple positions are available. We want to work with students on the following questions: PART A: Using sparse models to predict coaches' votes from a large number of GPS derived features The sporting teams aggregate data at the session (per quarter of an AFL match) to calculate performance indicators, such as the number of sprints above a certain velocity, or the number of fast changes of direction, etc. Sports clubs are interested to understand, which if any of these GPS-derived signals, are indicative of player performance. The most reliable judge of individual player performance are the coaches themselves, since they are aware of the conditions/instructions under which the player is operating (e.g. defensive play versus offensive roles, etc.). Thus we will investigate the predictive performance of the aggregated features with respect to the coaches' votes using various statistical models. Importantly, since there are few matches played per year, and a very large number of signals can be extracted from the GPS data, we will be working in a so-called 'p>n scenario', where the large number of signals (p) far outnumbers the number of instances (n) upon which the system can be trained. When working in such a sparse data regime, special statistical techniques called Sparsity Inducing Priors (SIP) need be applied to the model in order to prevent overfitting and achieve reliable prediction accuracy. PART B: Estimating individual player effect on game outcome Statistical graphical models such as the TrueSkill algorithm, model team performance as a combination of the performance of the individual players, which in turn is a random variable conditioned on the true underlying ability of each player. Based on the final outcomes of multiple games, such models can then be used to infer individual player contribution/performance, providing the number of players on each team is small (e.g. 3 for online games) and the number of interactions between teams is large. In AFL, where 18 players from each team all take to the field at once, more drastic variations of the model will need to be investigated. The said models will likely need to take the GPS derived data of individual players into account and combine it with the team's overall result in order to ascertain their contribution/performance of each player. Investigating these variations will constitute the second part of the project. Available to both UG and PG students.
Applications Applications closed on Friday, 18 May 2018.

Modelling antibody responses and immune cell differentiation
Code	Start date	Value	Contact
1598	25 June 2018 (negotiable)	$2000 ($500 x 4 weeks)	Dr Julian Garcia Email: julian.garcia@monash.edu Phone: 0399059089
Prerequisites Interest in biology and computational models of biological systems. Excellent programming skills and basic computational science skills (FIT3139 or equivalent).
Additional details The formation of immune memory to pathogens is critical for human health and longevity by providing the ability to respond rapidly to reinfection. Yet, the molecular regulators that are required to form B-cell (antibody) memory are an enduring mystery. Empirical evidence suggests that the complex molecular dynamics that results from the evolutionary process during the B-cell response conforms to a nonlinear system for which simple, intuitive mathematical solutions are not readily available. Thus, we will develop an in-silico model to test the roles of epigenetic regulators in immune memory formation. This is a collaboration between FTI and BDI. Project open to both UG and PG students.
Applications Applications closed on Friday, 18 May 2018.

Data wrangling for new-generation Earth observation satellites
Code	Start date	Value	Contact
1613	25 June 2018 (negotiable)	$2000 ($500 x 4 weeks)	Dr. Charlotte Pelletier & Dr. Francois Petitjean Email: charlotte.pelletier@monash.edu Phone: 0399059089
Prerequisites strong programming skills for big data (C/C++, Python), interest in data analysis and machine learning. Desirable: Experience with time series and or remote sensing data.
Additional details On March, 7 2017, the European Space Agency successfully put into orbit their latest high-resolution satellite Sentinel-2B. The Sentinel program is now capturing pictures of Australia every 5 days at high spatial and spectral resolution, which makes it possible to monitor the evolution of the vegetation. Such land surface monitoring is a key challenge for the management of territories and the prediction of climate trends. This project focuses on collecting and preparing data acquired by the Sentinel program over the state of Victoria, in order to be able to use machine learning algorithms onto it. The data preparation is quite challenging due to the amount of data, the size of the Victoria's state and the specificities of satellite images.
Applications Applications closed on Friday, 18 May 2018.

SeSaMi - Secure Sharing of Medical Images - Blockchain, Hyperledger, Smart Contracts Proj
Code	Start date	Value	Contact
1622	25 June 2018 (negotiable)	$2000 ($500 x 4 weeks)	Dr. Yevhen Zolotavkin (FIT), Dr. Matthieu Herrmann (FIT), Dr Shenpeng Li (Engineering), Dr Phillip Ward (Faculty of Medicine, Nursing and Health Sciences) Email: matthieu.herrmann@monash.edu Phone: 0399059089
Prerequisites Strong programming (Go or Node.js) and system (linux/docker) skills, interest in blockchain and smart contract design. Desirable: Experience with Hyperledger
Additional details The goal of the SeSaMi project is to enable the secure sharing of medical images. It relies on a combination of permissions recorded in a blockchain and watermarking, a watermarked image being linked to a permission. The project being in its early state, the focus will be put on setting up a private blockchain and designing and implementing a very first prototype of the permission system. Designing the permissions system involves two main aspects. a) The high level architecture: identifying the different kind of actors and their set of possible behaviours (e.g. a patient can grant a permission to a health professional) while preserving privacy. b) A Secure architecture: designing the encryption scheme of the data stored in the blockchain, i.e. what to encrypt and how (public/private key, shared key, etc...) The high level architecture can be discussed with our team member from Monash Biomedical Imaging.
Applications Applications closed on Friday, 18 May 2018.

Woodside - Parametric 3D Modelling
Code	Start date	Value	Contact
1623	25 June 2018 (negotiable)	$2000 ($500 x 4 weeks)	Dr Michael Wybrow, Dr Tobias Czauderna, Matthias Klapperstueck Email: tobias.czauderna@monash.edu Phone: 0399059089
Prerequisites programming skills necessary, ideally experience with 3D design, 3D graphics, 3D software, 3D mathematics
Additional details We have an exciting project with Woodside Energy that involves optimising the layout of a Liquefied Natural Gas (LNG) production plant. As part of the project, we visualise a 3D model (equipment + pipes connecting the equipment) of the plant applying the optimised layout. Currently the 3D models of the equipment are taken from an existing model of a plant. For new plants the 3D models of equipment should be created applying a flexible parametric 3D modelling approach.
Applications Applications closed on Friday, 18 May 2018.

A Remote Collaboration Experience for Open Day
Code	Start date	Value	Contact
1624	25 June 2018 (negotiable)	$1600 ($400 x 4 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Phone: 0399059089
Prerequisites Computing, Mechatronics or Industrial Design or Architecture experience is required for this project
Additional details In this project you will help design and build a unique experience for Monash Open Day. The project will create two interactive portals that link the Clayton and Caulfield campuses and allow people to communicate without directly seeing or hearing the person at the other portal. This will be a fantastic opportunity to work with robotic sculpture, haptics, light and sound to create an immersive environment for human interaction and communication. To do this project you’ll need to have skills in at least one of the following areas: computer science, mechatronics, industrial design or architecture. You’ll be part of an interdisciplinary team of creative thinkers and need to work collaboratively to solve design and implementation problems that achieve high quality results by fixed deadlines. The project is based in SensiLab at Caulfield (monash.edu/sensilab).
Applications Applications closed on Friday, 18 May 2018.

Network mapping and analysis in malaria
Code	Start date	Value	Contact
1625	25 June 2018 (negotiable)	$2000 ($500 x 4 weeks)	Dr Hieu Nim and Prof Graham Farr Email: hieu.nim@monash.edu Phone: 0399059089
Prerequisites graph theory, modelling, simulation, network analysis
Additional details The student is expected to integrate malaria data from collaborators at the Biomedicine Discovery Institute, with biological networks obtained from NCBI PubMed literature. An example of such biological networks is at http://msb.embopress.org/content/6/1/453. The network will need to be analysed, using various graph theory techniques, to study the topology that can potentially identify “interesting nodes and edges” of the network. These could be potential drug targets in a “network medicine” approach. Further, the Winter Research Scholar will participate in meetings between FIT and BDI to present the results and finding from this project.
Applications Applications closed on Friday, 18 May 2018.

Interactive MiniZinc visualisations
Code	Start date	Value	Contact
1627	25 June 2018 (negotiable)	$1600 ($400 x 4 weeks)	Dr Guido Tack Email: guido.tack@monash.edu Phone: 0399059089
Prerequisites Strong programming skills, preferably JavaScript with modern frameworks (eg React, Angular, D3 etc), ideally knowledge of optimisation methods and MiniZinc
Additional details In this project you will design interactive web-based visualisations that will help users solve hard optimisation problems such as vehicle routing, timetabling or the design of complex chemical plants.
Applications Applications closed on Friday, 18 May 2018.

Modelling antibody responses and immune cell differentiation during infection
Code	Start date	Value	Contact
1652	20 November 2018 (negotiable)	$4000 ($500 x 8 weeks)	Dr Julian Garcia and Dr Kim Jacobson Email: julian.garcia@monash.edu
Prerequisites Interest in biology and computational models of biological systems. Excellent programming skills and basic computational science skills (FIT3139 or equivalent).
Additional details The formation of immune memory to pathogens is critical for human health and longevity by providing the ability to respond rapidly to reinfection. Yet, the molecular regulators that are required to form B-cell (antibody) memory are an enduring mystery. Empirical evidence suggests that the complex molecular dynamics that results from the evolutionary process during the B-cell response conforms to a nonlinear system for which simple, intuitive mathematical solutions are not readily available. Thus, we will develop an in-silico model to test the roles of epigenetic regulators in immune memory formation. This is a collaboration between FTI and BDI.
Applications Applications closed on Friday, 27 July 2018.

Virtual 3D finger spelling for Australian Sign Language
Code	Start date	Value	Contact
1775	20 November 2018 (negotiable)	$3500 ($500 x 7 weeks)	Dr Kirsten Ellis Email: kirsten.ellis@monash.edu Phone: 99047132 Research profile: Dr Kirsten Ellis
Prerequisites IT student with experience in Programming, motion tracking, Unity and 3D modeling.
Additional details This project will be developing an application for learners of Australian sign language (Auslan) to practice reading back fingerspelling of different English words. A major component of the project is developing the 3-D models of how fingers and hands move as they transition between the signs for different letters of the English alphabet. The transitions will allow learners of Auslan to input any English word and see a natural-looking animation of how that word would be finger spelled.
Applications Applications closed on Friday, 27 July 2018.

Student Activity Patterns during Expert Math Problem Solving
Code	Start date	Value	Contact
1787	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Professor Sharon Oviatt Email: sharon.oviatt@monash.edu
Prerequisites This project is open to either advanced undergraduates or Masters thesis students. Students should be advanced undergraduates in CS/IT, engineering, learning sciences, or psychology, with excellent grades and written and oral communication skills. Preference will be given to students who have completed coursework in research methods and statistics, and who have previous experience conducting empirical research (including coding and analyzing data) and using tools to conduct vision- or video-based analytics. Students with an interest in pursuing PhD research or careers in research are especially encouraged to apply.
Additional details This project will involve analyzing visible actions in an existing database called the Math Data Corpus while small groups of students solve math problems together. The aim of the research is to identify actions that are predictive of (1) whether the group will solve a given problem correctly or not, and (2) identifying students according to their level of domain expertise. Visible actions may Include gesturing and manual movements, facial expressions, gaze behavior, etc. This research is being conducted in the new Human-Centered AI group of FIT. The project is developing new technologies related to the emerging field of multimodal learning analytics.
Applications Applications closed on Friday, 5 October 2018.

Comparison of Human versus System Accuracy in Predicting Math Problem-Solving Expertise
Code	Start date	Value	Contact
1788	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Professor Sharon Oviatt Email: sharon.oviatt@monash.edu
Prerequisites This project is open to either advanced undergraduates or Masters thesis students. This project will involve running a study to collect data on experienced math teachers’ ability to quickly and accurately identify: 1) whether a group of students will solve an in-progress math problem correctly or not, and the (2) expertise level of students in a group. Teachers will be shown segments of student problem solving from the Math Data Corpus, and asked to make decisions on the above questions. They will also indicate what data source (images, speech, writing) and specific content they based their decision on. Human versus system accuracies will be compared. In addition, error analyses will be conducted to identify the frequency and type of any systematic biases evident in teachers’ decision making (e.g., attributing expertise to socially dominant students). The long-term aim of this research is to develop synergistic human-computer systems that combine the decision-making strengths of each, while overcoming each of their characteristic weaknesses.
Additional details Students should be advanced undergraduates in CS/IT, engineering, learning sciences, or psychology, with excellent grades and written and oral communication skills. Preference will be given to students who have completed coursework in research methods and statistics, and who have previous experience conducting research with human subjects (preparing materials, giving instructions, recording data, conducting statistical analyses). Students with an interest in pursuing PhD research or careers in research are especially encouraged to apply.
Applications Applications closed on Friday, 5 October 2018.

Data science for social good: using new-generation high-resolution satellites to map the v
Code	Start date	Value	Contact
1813	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Charlotte Pelletier Email: charlotte.pelletier@monash.edu
Prerequisites Strong programming skills, interest in data analysis and machine learning, good communication skills, and keen to learn about satellite images.
Additional details On March 7 2017, the European Space Agency (ESA) successfully put its latest high-resolution satellite Sentinel-2B into orbit. The two Sentinel-2 satellites are now capturing pictures of Australia every 5 days at high spatial and spectral resolution, which makes it possible to monitor the evolution of the vegetation. Such land surface monitoring is a key challenge for the management of territories and the prediction of climate trends. This summer project will focus on the develoment of an end-to-end processing chain that uses data acquired by the Sentinel program over Victoria, in order to produce annual land cover maps. More precisely, the expected processing chain will be composed of five main components: 1) collection of data, 2) pre-processing of the satellite data, 3) extraction of features, 4) application of a supervised learning algorithm (eg. Random Forest), and 5) classification of the data over Victoria. The two first components have been advanced during a previous winter project. Therefore, the successfull candidate will need to build-upon a previous work and to complete the processing chain.
Applications Applications closed on Friday, 5 October 2018.

A security-aware framework for data management in Building Information Modelling (BIM)
Code	Start date	Value	Contact
1814	19 November 2018 (negotiable)	$3000 ($300 x 10 weeks)	Dr Xingliang, Lecturer in Cyber Security Email: xingliang.yuan@monash.edu
Prerequisites The candidate should have background on software security, databases, and computer networks.
Additional details Building Information Modelling (BIM) is transforming the way infrastructure is planned, built and operated. BIM is a collaborative approach that relies on sharing data and models among all teams involved in project delivery. This promises increased efficiencies, but also raise new challenges in relation to data management and data security. This project will investigate and address how these risks can be minimised through adopting appropriate cyber security protocols and contractual risk allocations in the entire BIM infrastructure life-cycle. Suitable for both PG and UG students.
Applications Applications closed on Friday, 5 October 2018.

Leveraging Eye-Gaze for Adaptive Maps and Interactions
Code	Start date	Value	Contact
1824	19 November 2018 (negotiable)	$4000 ($500 x 8 weeks)	A/Prof Bernie Jenny Email: bernie.jenny@monash.edu
Prerequisites Postgraduate student; experience in C# programming; strong interest in eye tracking and immersive visualisation.
Applications Applications closed on Friday, 5 October 2018.

Situated augmented reality visualisation of geospatial data
Code	Start date	Value	Contact
1825	19 November 2018 (negotiable)	$4000 ($500 x 8 weeks)	A/Prof Bernie Jenny Email: bernie.jenny@monash.edu
Prerequisites Postgraduate student; experience in Unity programming; experience in C# programming.
Applications Applications closed on Friday, 5 October 2018.

Securing Control Plane in Software-defined Networks Using Trusted Enclaves
Code	Start date	Value	Contact
1827	19 November 2018 (negotiable)	$3000 ($300 x 10 weeks)	Dr Xingliang, Lecturer in Cyber Security Email: xingliang.yuan@monash.edu
Prerequisites The candidate should have background on cryptography programming, networked systems, and computer networks. Skills on Intel SGX would be a strong plus.
Additional details Software-defined networking operates a control plane to facilitate the management and optimisation for networked applications and infrastructures. Despite very useful, it is logically centralised and thus becomes a high-value target for an adversary. In this project, we aim to leverage the latest advancement on trusted computing and design prototypes to secure sensitive data (e.g., network topology and flow statistics) maintained on the control plane with practical performance.
Applications Applications closed on Friday, 5 October 2018.

Lack of Design Inspiration? Search Design Space!
Code	Start date	Value	Contact
1828	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr Chunyang Chen Email: chunyang.chen@monash.edu
Prerequisites FIT1050, The web & software development experience and Python programming (especially python-based framework like Flask or Django) are preferred.
Additional details During software development, developers sometimes need to carry out UI (User Interface) design by themselves. But it is difficult for developers to design the professional UI due to the lack of professional training or arts background. To overcome the problem, we have collected tens of thousands of different Android UI design from commercial apps, and we need to develop a website for helping designers/developers efficiently search the UI design. Given just a sketch from developers, our tool can return many high-fidelity similar UI designs for inspirations.
Applications Applications closed on Friday, 5 October 2018.

Augmented on-road driving simulator for AV using VR (VRAV) – VR development
Code	Start date	Value	Contact
1831	19 November 2018 (negotiable)	$6000 ($500 x 12 weeks)	Dr Barrett Ens, Dr Steve O’Hern, and Prof Hai Vu Email: barrett.ens@monash.edu Phone: 3 9903 4672 Research profile: Dr Barrett Ens, Dr Steve O’Hern, and Prof Hai Vu
Prerequisites Experience with C# or similar programming language is required. Knowledge of Unity, 3D asset modelling, and VR or game development are preferred.
Additional details This project aims to develop an on-road driving simulator of using Virtual Reality (VR). Using a simulation technique known as Wizard-of-Oz, the simulator will create a realistic experience of driving an autonomous vehicle (AV), while safely riding in a real car with a human driver. This project is focused on the initial development of the on-road simulator, which will be used in later studies on AV driving experience. The student will be part of a team of developers who will integrate VR and various sensors into the simulator. This role is focused on VR software development in Unity of the driving simulator, tracking of the user’s hands (using Leap Motion), and modelling of the virtual scenery.
Applications Applications closed on Friday, 5 October 2018.

Augmented on-road driving simulator for AV using VR (VRAV) – sensor / systems development
Code	Start date	Value	Contact
1832	19 November 2018 (negotiable)	$6000 ($500 x 12 weeks)	Dr Barrett Ens, Dr Steve O’Hern, and Prof Hai Vu Email: barrett.ens@monash.edu Phone: 3 9903 4672 Research profile: Dr Barrett Ens, Dr Steve O’Hern, and Prof Hai Vu
Prerequisites Experience in electrical engineering or embedded systems programming is required. Knowledge of IMU sensor integration, and OBD2 diagnostics protocols are an asset.
Additional details This project aims to develop an on-road driving simulator of using Virtual Reality (VR). Using a simulation technique known as Wizard-of-Oz, the simulator will create a realistic experience of driving an autonomous vehicle (AV), while safely riding in a real car with a human driver. This project is focused on the initial development of the on-road simulator, which will be used in later studies on AV driving experience. The student will be part of a team of developers who will integrate VR and various sensors into the simulator. This role is focused on the processing and integration of sensor data with the VR system. Sensors include a motion sensor (IMU) and vehicle diagnostic readings (OBD2).
Applications Applications closed on Friday, 5 October 2018.

Leveraging Data Analytics for Competitive Advantage in Professional Sport Project
Code	Start date	Value	Contact
1845	19 November 2018 (negotiable)	$2100 ($350 x 6 weeks)	Dr Christoph Bergmeir, Dr. Daniel Schmidt Email: christoph.bergmeir@monash.edu
Prerequisites units, degree, experience or restrictions on student types (UG, PG or both): Strong programming skills, interest in data analysis/visualization. Desirable: Experience with statistical graphical models, sparse regression.
Additional details This project aims to apply methodology for sparse regression and statistical graphical models in a sports analytics environment to data from an Australian Football League (AFL) Club. The project tries to answer the question which contribution an individual player made to a game outcome. This would greatly help coaches and sports organizations to assess player quality more reliably and base their decisions on evidence.
Applications Applications closed on Friday, 5 October 2018.

Aerial Drone Support for Nomadic Augmented Reality Workers
Code	Start date	Value	Contact
1846	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr Barrett Ens Email: barrett.ens@monash.edu
Prerequisites This project requires a student with Mechatronics or Electrical Engineering background or relevant experience with hardware prototyping.
Additional details This project aims to develop new technology systems, applications, and interaction techniques for nomadic workers by exploring systems that coordinate Aerial Drones with Augmented Reality (AR). In the near future, many nomadic workers who require mobility around industrial work sites will adopt wearable AR to provide vital information about their surroundings. For instance, workers in construction sites or industrial plants will be able to see information about building plans or equipment sensor readings overlaid directly onto their surrounding work environment. Companies such as Microsoft and Daqri are already exploring industrial applications for such commercial projects, however, these systems face limitations in tracking and scanning capabilities in industrial work environments. For instance, tracking sensors in the Microsoft HoloLens are limited to only a few metres in range and can only map regions that lie within direct line of sight. An overhead drone can provide additional sensors and view a much wider area than a wearable device alone. For this project, the student will build a basic drone system, including wireless integration with wearable AR hardware, for development and testing in a controlled, indoor lab setting. A first proof-of-concept implementation will be capable of tracking a local surface and displaying a stabilised projection.
Applications Applications closed on Friday, 5 October 2018.

The Experience of Exiting VR
Code	Start date	Value	Contact
1847	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr Jarrod Knibbe Email: Jarrod.Knibbe@monash.edu
Prerequisites Strong programming skills, with experience in VR / Unity / game development. This project would suit students with an interest in pursuing a PhD or joining the visual arts / game development worlds.
Additional details Previous research suggests that removing a VR headset is a complex experience, with immediate social, sensory, spatial, and temporal impact. Come and build a range of ‘exit experiences’ to explore the design and interaction opportunities in this space.
Applications Applications closed on Friday, 5 October 2018.

Augmented Reality and Natural User Interaction for In-Situ Maintenance
Code	Start date	Value	Contact
1848	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr Arnaud Prouzeau, Dr Barrett Ens Email: arnaud.prouzeau@monash.edu
Prerequisites Experience in C# or similar languages (like Java). Experience with Unity or be willing to learn it
Additional details Large and complex buildings like university campuses contained thousands of assets (from the AC unit to the Boiler plant) which are necessary for their normal operation. Constant maintenance of such assets is necessary and is done by technicians on site. They need to know the current state of the assets, the history of sensors’ measure, the potential link to other assets, the history of alarms and past maintenance, etc. For now, technicians bring a laptop with them to have access to these data. However, this raises several issues: ● Information is not presented in the context of the machine, which could lead to the technician acting on the wrong parameter, or worst, the wrong machine. ● Divided attention between the asset on which the technician act on and the laptop which hinder performance. A solution to both issues would be to provide technicians with Augmented Reality headsets. Interesting information could be then directly superimposed with the machine which would avoid mistakes and improve performance. The use of such headsets for visualization for maintenance have already been studied [1]. However, interaction in such contexts is, to our knowledge, barely explored. In this project, we would like to explore the design space of interactions with maintenance data using an augmented reality headset. As conventional interaction methods (mice and keyboards) can’t be used with such display, we will explore other types of input like gesture and gaze, more broadly called Natural User Interactions (NUI). The student will be asked to first develop a working prototype of a maintenance AR interface. Then, she/he will be asked to implement different alternatives of NUI to interact with this interface. Finally, a user evaluation could be done to evaluate the performance of the different techniques in a maintenance task. [1] S. J. Henderson and S. Feiner, 'Evaluating the benefits of augmented reality for task localization in maintenance of an armored personnel carrier turret,' 2009 8th IEEE International Symposium on Mixed and Augmented Reality(ISMAR), Orlando, FL, USA, 2009, pp. 135-144.
Applications Applications closed on Friday, 5 October 2018.

Using Augmented Reality to Support People with Low-Vision
Code	Start date	Value	Contact
1849	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Prof Kim Marriott, Dr Matt Butler Email: kim.marriott@monash.edu
Prerequisites Programming knowledge of C, C++, Java or C# is required, knowledge of Unity programming environment is an asset but not required.
Additional details Around 250 million people suffer from low-vision world wide. Low-vision severely restricts independent travel, education and work opportunities as well as general quality of life. Recently available Augmented Reality (AR) headsets allow users to overlay virtual information on real-world objects. AR provides an exciting opportunity to alleviate low-vision by using to real-time computer vision to increase contrast, emphasize shape outlines, modify colour, recognise text etc on the scene viewed through the headset. This project will investigate the use of AR to support people with cortical vision impairment one of the most common kinds of severe vision impairment.
Applications Applications closed on Friday, 5 October 2018.

Virtual reality for visualising trauma patient pathways
Code	Start date	Value	Contact
1850	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	A/Prof Bernie Jenny, FIT Kadek Ananta Satriadi (PhD student FIT) Dr Maxime Cordeil, FIT Dr Ben Beck, Monash Public Health and Preventive Medicine Email: bernie.jenny@monash.edu
Prerequisites Experience in Unity programming; experience in C# programming; completed Data Visualisation, Computer Graphics or related unit.
Additional details You will develop an immersive visualisation system to explore and understand the pathways of Victoria trauma patients. You will customise and extend ImAxes, a state of the art virtual reality visualisation tool for multivariate data. In collaboration with colleagues in Monash Health Sciences you will extend ImAxes with maps and time cubes for analysing the large and complex Victorian State Trauma Registry. For ImAxes see: https://www.youtube.com/watch?v=hxqJJ934Reg
Applications Applications closed on Friday, 5 October 2018.

Simulating Social Dynamics with a Multi-Agent System
Code	Start date	Value	Contact
1851	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Leimin Tian Email: Leimin.Tian@monash.edu
Prerequisites Students should be advanced undergraduates or master-level in CS/IT, engineering, or psychology, with excellent grades and written and oral communication skills. Preference will be given to students who have previous experiences conducting robotics research, and who have experiences with Python programming. Students with an interest in pursuing PhD or careers in research are especially encouraged to apply. Computing Equipment & Software The student will need a laptop (any standard one) with Python installed and any Android/iOS mobile device with the Cozmo app installed. The Cozmo SDK is open-sourced on GitHub (https://github.com/anki/cozmo-python-sdk). The Cozmo robots will be provided to the student for this project.
Additional details This project will involve implementing emotion models in individual agents and studying how this will result in different types of social interactions in the multi-agent system. Computational modelling and simulation of human’s social-emotional behaviors is key to understanding human cognition. It also contributes to modelling interaction dynamics in multi-agent systems. The aim of this research is (1) exploring the implementation of different computational models of emotion in a robot, and (2) investigating how will the emotion model of individual robots influence their social interactions in a multi-agent system. This project will be conducted using multiple Cozmo robots. The long-term goal of this research is to develop human-robot interaction in a multi-agent system setting.
Applications Applications closed on Friday, 5 October 2018.

A Visual Tool for Understanding and Debugging Pathfinding Search
Code	Start date	Value	Contact
1852	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr Michael Wybrow, Dr Daniel Harabor Email: michael.wybrow@monash.edu
Prerequisites You should have experience with JavaScript and related web technologies. Some exposure to C or C++ would also be helpful.
Additional details This work aims to develop a visualisation tool to help practitioners better understand existing pathfinding algorithms and to help researchers more easily implement new pathfinding algorithms. The tool is intended to be used as both a pedagogical teaching aid and as a useful and online debugger for researchers. It can be motivated as follows: ● Practitioners interested in existing pathfinding algorithms (e.g., students) typically seek to understand such methods by studying diagrammatic examples, algorithmic pseudo-code or fragments of actual source code if an implementation is available. Each of these approaches is limited and, from a pedagogical perspective, poor substitutes for a hands-on interactive application. ● Researchers interested in pathfinding algorithms typically proceed by developing code from scratch, iterating a write-run-test programmatic loop. Errors in logic are often difficult to find because mistakes/bugs can arise in the middle of solving a complicated instance. The typical approach is to debug the algorithm by analysing many thousands lines of text output. This approach is time consuming and itself error prone. The visualisation tool will be developed as a web application. It will be powered by a small server which uses the Warthog pathfinding library [1] to solve different types of pathfinding problems in an interactive way via the web front-end. [1] https://bitbucket.org/dharabor/pathfinding
Applications Applications closed on Friday, 5 October 2018.

Improving constraint decompositions
Code	Start date	Value	Contact
1853	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr Graeme Gange, Prof Maria Garcia de la Banda Email: graeme.gange@monash.edu
Prerequisites Strong programming skills (preferably C++), ideally some knowledge of discrete optimisation
Additional details When modelling optimisation problems, it can be hard to find a good encoding for parts of the problem. In this project, you will investigate ways to, from an initial attempt, automatically derive improved encodings for a given subproblem. See [https://www.monash.edu/it/data-science/optimisation] for more information about our group and research projects.
Applications Applications closed on Friday, 5 October 2018.

Rail freight network optimisation
Code	Start date	Value	Contact
1854	19 November 2018 (negotiable)	$4000 ($500 x 8 weeks)	Dr Ilankaikone Senthooran (FIT) and Prof. Mark Wallace (FIT) Email: ilankaikone.senthooran@monash.edu Research profile: Dr Ilankaikone Senthooran (FIT) and Prof. Mark Wallace (FIT)
Prerequisites Software programming using Javascript/Python. FIT2009 – Data structures and algorithms
Additional details This project explores the routing and scheduling of long distance V-line trains through the Melbourne urban passenger network. We seek to maximise the number of trains and minimise the total delay. In this project we will develop a compact representation of the network and a user interface. [1] Freight train threading with different algorithms I Senthooran, M Wallace, L De Koninck - Integration of AI and OR Techniques in Constraint Programming. LNCS 9075, pp 393-409, 2015
Applications Applications closed on Friday, 5 October 2018.

Visual comparison of plant layout solutions
Code	Start date	Value	Contact
1855	19 November 2018 (negotiable)	$4000 ($500 x 8 weeks)	Dr Gleb Belov (FIT) and Prof. Maria Garcia de la Banda (FIT) Email: Gleb.Belov@monash.edu Research profile: Dr Gleb Belov (FIT) and Prof. Maria Garcia de la Banda (FIT)
Prerequisites Software programming in C++.
Additional details We have an exciting project with Woodside Energy that involves optimising the layout (equipment and pipes) of a chemical plant. To do this, we have a system that finds (near-)optimal solutions, that is, locations for all equipment and routes the connecting pipes, and produces 3D visualisations of these solutions. But since there can be many optimal solutions, users need to be able to easily compare them. The task is to extend our system to allow users to compare different solutions in a meaningful way. This will involve selecting, computing and visualising characteristics of solutions that are important for deciding which solution is best, as well as bookkeeping and comparing selected different solutions that are produced during software execution. References [1] G. Belov et al. An optimization model of 3D pipe routing with flexibility constraints. 2017 [2] Gleb Belov, Tobias Czauderna, Maria Garcia de la Banda, Matthias Klapperstueck, Ilankaikone Senthooran, Mitch Smith, Michael Wybrow, Mark Wallace. Process Plant Layout Optimization: Equipment Allocation. CP 2018
Applications Applications closed on Friday, 5 October 2018.

Parameter tuning in plant layout design
Code	Start date	Value	Contact
1856	19 November 2018 (negotiable)	$4000 ($500 x 8 weeks)	Dr Ilankaikone Senthooran (FIT) and Prof. Maria Garcia de la Banda (FIT) Email: ilankaikone.senthooran@monash.edu Research profile: Dr Ilankaikone Senthooran (FIT) and Prof. Maria Garcia de la Banda (FIT)
Prerequisites Software programming in C++. Good to have experience in machine learning.
Additional details We have an exciting project with Woodside Energy that involves optimising the layout (equipment and pipes) of a chemical plant. To do this, we have a system that finds (near-)optimal solutions, that is, locations for all equipment and routes the connecting pipes. Since for real-world plants, it can take days/weeks to compute these solutions, our solving algorithm involves different steps, each involving parameters such as the amount of time the step is allowed to run for, or the number of items considered in each step. These parameters have been chosen fairly arbitrary and are rather static. The task is to explore the characteristics and performance of the system to perform parameter tuning, that is, to determine what the value of the parameters should be depending on the problem size and the explored characteristics. References [1] G. Belov et al. An optimization model of 3D pipe routing with flexibility constraints. 2017 [2] Gleb Belov, Tobias Czauderna, Maria Garcia de la Banda, Matthias Klapperstueck, Ilankaikone Senthooran, Mitch Smith, Michael Wybrow, Mark Wallace. Process Plant Layout Optimization: Equipment Allocation. CP 2018 [3] Aldeida Aleti, Barbora Buhnova, Lars Grunske, Anne Koziolek, Indika Meedeniya. Software architecture optimization methods: A systematic literature review. IEEE Transactions on Software Engineering. 39(5), 658-683. 2013
Applications Applications closed on Friday, 5 October 2018.

Conflict resolution in pipe routing
Code	Start date	Value	Contact
1857	19 November 2018 (negotiable)	$4000 ($500 x 8 weeks)	Dr Gleb Belov, Dr Daniel Harabor (FIT) Email: Gleb.Belov@monash.edu Research profile: Dr Gleb Belov, Dr Daniel Harabor (FIT)
Prerequisites Software programming in C++, basic 3D computational geometry. Experience in combinatorial optimization is helpful.
Additional details We have an exciting project with Woodside Energy that involves optimising the layout of chemical production plants. As part of the project, we need to find good or optimal routes for all the pipes connecting the different equipment in the plant. It is typical for pipe routes to have conflicts, i.e., where one or both of some two pipes have better routes when they are considered in isolation than when they are both present. We have some C++ codes for 3D path conflict resolution. The task is to test the code in various settings, and possibly make some improvements. References [1] G. Belov et al. An optimization model of 3D pipe routing with flexibility constraints. 2017 [2] Witmer, Nathan (5 May 2013). 'Jump Point Search Explained'. zerowidth positive lookahead
Applications Applications closed on Friday, 5 October 2018.

Stronger bounding in constraint programming
Code	Start date	Value	Contact
1858	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr Graeme Gange, Prof Maria Garcia de la Banda Email: graeme.gange@monash.edu
Prerequisites Strong programming skills (preferably C++), ideally some knowledge of discrete optimisation.
Additional details Constraint programming methods are very effective when it comes tofinding good solutions quickly, but suffer when trying to prove optimality. Branch-and-bound approaches suffer because of extremely weak reasoning about the objective. Unsatisfiable core approaches are better at establishing lower bounds, but only improve bounds in small steps, and are all-or-nothing: they never find any solution until they finish proving optimality. In this project, you will explore ways to combine these two strategies, to get the improved objective reasoning of unsatisfiable core methods while still finding good solutions quickly. See [https://www.monash.edu/it/data-science/optimisation] for more information about our group and research projects.
Applications Applications closed on Friday, 5 October 2018.

Automatically detecting security anti-patterns
Code	Start date	Value	Contact
1859	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Marcel Boehme, Dr. Li Li, Prof. John Grundy, Dr. Aldeida Aleti Email: aldeida.aleti@monash.edu
Prerequisites Javascript, Python
Additional details The project focuses on vulnerability analysis of web applications and web APIs - e.g. government and public services portals, banks, social media, and many more - as one of the core technology platforms to deliver software including Software-as-a-Service (SaaS) nowadays. The student will work on an automated detector for security vulnerabilities that present as something other than a crash. The student will develop a “footprint” or security anti-patterns which can be automatically checked during execution.
Applications Applications closed on Friday, 5 October 2018.

Vulnerability Evolution of Cryptocurrencies
Code	Start date	Value	Contact
1860	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Li Li, Dr. Marcel Boehme, Prof. John Grundy, Dr. Aldeida Aleti Email: aldeida.aleti@monash.edu
Prerequisites Java or Python
Additional details Nowadays, there are many cryptocurrencies and each of them has its own blockchain platform available as an open source project. In this project, we would like to have a deep understanding of the current state of blockchain projects with a special focus on the evolution of vulnerabilities. To do so, we need to (1) collect data from different blockchain projects, (2) run existing vulnerability scanners over those projects to identify vulnerabilities and finally (3) compare the results to summarise interesting insights.
Applications Applications closed on Friday, 5 October 2018.

Vulnerability Analysis of Hybrid Android Apps
Code	Start date	Value	Contact
1861	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Li Li, Dr. Marcel Boehme, Prof. John Grundy, Dr. Aldeida Aleti Email: aldeida.aleti@monash.edu
Prerequisites Java, Javascript
Additional details Hybrid Android apps contain functions implemented in Javascript, which makes it possible to benefit from traditional web-based techniques. While there are already quite e few tools that can be used for detecting Javascript-related vulnerabilities in traditional web applications, there are no available techniques that can be used for detecting Javascript related vulnerabilities in hybrid Android apps. The output of this project is expected to be a toolchain that (1) extracts the Javascript code from Android apps and (2) analyses the extracted code for identifying potential vulnerabilities.
Applications Applications closed on Friday, 5 October 2018.

Constructing A Knowledge Graph for Android: Analyses and Applications
Code	Start date	Value	Contact
1862	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Li Li, Dr. Marcel Boehme, Prof. John Grundy, Dr. Aldeida Aleti Email: aldeida.aleti@monash.edu
Prerequisites Java
Additional details The success of Android, on the one hand, brings several benefits to app developers and users, while on the other hand, it makes Android the target of choice to attackers and opportunistic developers. To cope with this, researchers have introduced various approaches (e.g., privacy leaks identification, ad fraud detection, etc.) to secure Android apps so as to keep users from being infected. All of the above approaches require a reliable benchmark dataset to evaluate their performance. Unfortunately, it is not easy to build such a targeted dataset from scratch. As a result, researchers often apply their approaches to randomly selected apps, including both relevant and irrelevant samples. Many efforts are hence wasted to analyse the irrelevant ones. As an example, many researchers now rely on AndroZoo, which provides over 5.8 million Android apps for the community, to obtain experimental samples. If a researcher is only interested in apps that are obfuscated and have used reflection in their code, she still has to download all the apps and then filter in the interested ones. Therefore, to supplement this work, we plan to represent the app metadata via a knowledge graph and share it with the community for our fellow researchers to quickly search for interesting apps. The aim of this work is to provide a knowledge graph of Android apps for our fellow researchers working in the field of mobile app analysis to quickly search for relevant artefacts so as to facilitate their research in various means, e.g., to search for app samples exactly suitable for their experiments. This project is expected to be done in three aspects: Aspect 1: To design and implement a prototype tool called KnowledgeZooClient, aiming to extract metadata from Android apps and integrate them into a graph database (i.e., knowledge graph). We have already implemented a prototype version that is made available on Github. The students are expected to continuously contribute to this open project. Aspect 2: Thanks to Aspect 1, we are able to build a knowledge graph of Android apps. In this project, we will release the constructed knowledge graph as an online service, namely KnowledgeZoo. The students working in this aspect are expected to maintain the online service and perform various empirical studies on top of the graph, so as to obtain empirical knowledge that cannot be easily got otherwise. Aspect 3: This aspect aims to implement various applications on top of KnowledgeZoo. These applications need to go one step further to make the knowledge graph smarter. For example, the potential applications can introduce new relationships derived from existing ones through graph mining. Based on the java packages and the signing certificate, we can introduce ``similar'' or ``repackaging'' relationships to APK nodes.
Applications Applications closed on Friday, 5 October 2018.

Automated testing of IoT devices
Code	Start date	Value	Contact
1863	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Marcel Boehme, Dr. Li Li, Prof. John Grundy, Dr. Aldeida Aleti Email: aldeida.aleti@monash.edu
Prerequisites Java, Python, C
Additional details Software is a core component in every innovation and industry we have today from entertainment to safety and mission critical systems. However, from a security perspective, it is considered the easiest target to damage individuals, organisations, and governments reputation and existence. Hence, software security has become more critical than ever before. Software security has two pillars: software security engineering, and software security analysis. In this project we focus on the analysis aspect as a door keeper before software goes public, and more specifically, the security of IoT devices, using automated testing techniques.
Applications Applications closed on Friday, 5 October 2018.

Hybrid security analysis
Code	Start date	Value	Contact
1864	19 November 2018 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Li Li, Dr. Marcel Boehme, Prof. John Grundy, Dr. Aldeida Aleti Email: aldeida.aleti@monash.edu
Additional details Software security analysis techniques aim at understanding program behaviour and structure, and try to make sure that the program does not violate security best practices, secure coding standards, or security requirements and constraints. Security analysis techniques are either static or dynamic. Static vulnerability analysis techniques - e.g. model checking, control flow, data flow, type systems, etc. focus on analysing code during the development phase -- without deploying or executing the code. On the other hand, dynamic vulnerability analysis techniques - e.g. blackbox testing, monitoring, etc. use runtime information collected during the execution of the program. Both techniques have pros and cons. Static analysis tools suffer from high false positives, which is very annoying, time consuming and degrades users’ engagement over time, and contributes to lack of trust in the tool. Moreover, static analysis cannot be applied to 3rd party components where the source code is not available. On the other hand, dynamic analysis tools suffer from low code coverage, due to lack of knowledge / understanding of the system and the poor quality of the test suite. This usually leads to lack of trust in the dynamic analysis tool - i.e. potential high false negative - the tool did not report a problem / violation - whereas the issue does exist. In this project, we will develop hybrid vulnerability analysis techniques, which combine both static and dynamic methods to maximise the value gained (pros of both) and mitigate the time/limitations and challenges involved (cons of both techniques).
Applications Applications closed on Friday, 5 October 2018.

Adding Machine Learning capabilities to MiniZinc
Code	Start date	Value	Contact
1865	19 November 2018 (negotiable)	$4000 ($500 x 8 weeks)	Dr Guido Tack, Prof Maria Garcia de la Banda Email: guido.tack@monash.edu More information about project #1865
Prerequisites strong programming skills, preferably C++; ideally knowledge of machine learning methods, optimisation methods and MiniZinc
Additional details Machine learning is being recently considered as a possible way to help build models of optimisation problems. MiniZinc is one of the most popular modelling languages for discrete optimisation problems. It has been developed at Monash, in collaboration with Melbourne University and Data-61. While MiniZinc provides considerable support for modellers, this support does not include machine learning capabilities. The task of this project is to incorporate machine learning into MiniZinc to help modellers produce better models. [1] Lombardi, M, Milano, M. Boosting Combinatorial Problem Modeling with Machine Learning. IJCAI 2018: 5472-5478 [2] Nethercote, Nicholas, Peter J. Stuckey, Ralph Becket, Sebastian Brand, Gregory J. Duck, and Guido Tack. 'MiniZinc: Towards a standard CP modelling language.' CP 2007. 529-543.
Applications Applications closed on Friday, 5 October 2018.

Automatic parameter tuning for MiniZinc solvers
Code	Start date	Value	Contact
1866	1 July 2019 (negotiable)	$2000 ($500 x 4 weeks)	Dr Guido Tack, Prof Maria Garcia de la Banda, Dr Senthooran Ilankaikone Email: Guido.Tack@monash.edu Research profile: Dr Guido Tack, Prof Maria Garcia de la Banda, Dr Senthooran Ilankaikone More information about project #1866
Prerequisites Strong programming skills, preferably C++ and Python; ideally knowledge of parameter tuning tools (like SMAC3), optimisation methods and MiniZinc
Additional details MiniZinc is one of the most popular modelling languages for discrete optimisation problems. It has been developed at Monash, in collaboration with Melbourne University and Data-61. MiniZinc allows users to model complex combinatorial problems. These models can then be solved using many different solving algorithms, which can be combined according to different search strategies. While extremely powerful, these solving algorithms are complex and can result in very different performance depending on the provided parameters. The task of this project is to incorporate automatic parameter tuning capabilities (such as those provided by SMAC3 https://www.ml4aad.org/automated-algorithm-design/algorithm-configuration/smac/ to MiniZinc, and explore its performance on selected model/solver configurations. [1] Nethercote, Nicholas, Peter J. Stuckey, Ralph Becket, Sebastian Brand, Gregory J. Duck, and Guido Tack. 'MiniZinc: Towards a standard CP modelling language.' CP 2007. 529-543. [2] Aleti, A, Buhnova, B, Grunske, L, Koziolek, A, Meedeniya, I. Software architecture optimization methods: A systematic literature review. IEEE Transactions on Software Engineering. 39(5), 658-683. 2013
Applications Applications closed on Friday, 24 May 2019.

MiniZinc shoot-out
Code	Start date	Value	Contact
1867	19 November 2018 (negotiable)	$4000 ($500 x 8 weeks)	Dr Guido Tack, Prof. Peter Stuckey Email: guido.tack@monash.edu More information about project #1867
Prerequisites Strong programming skills, preferably C++ and Python, web development skills.
Additional details MiniZinc is one of the most popular modelling languages for discrete optimisation problems. It has been developed at Monash, in collaboration with Melbourne University and Data-61. For more than 10 years, the MiniZinc team has organised an international solver competition and made the results available on the web (see http://www.minizinc.org/challenge.html). While extremely valuable, solver developers would like to be able to add solvers (and their modified versions) at any point in time. The task of this project is to transform our annual competition into a “shoot-out” format, which -- in addition to the annual challenge events -- is able to run and maintain a constant scoreboard of all solvers submitted, and can dynamically add new solvers and problems to the scoreboard.
Applications Applications closed on Friday, 5 October 2018.

Bioinformatics data analysis of patient self-reported toxicities during chemotherapy
Code	Start date	Value	Contact
1881	1 July 2019 (negotiable)	$2000 ($500 x 4 weeks)	Dr Hieu Nim Email: Hieu.Nim@monash.edu Research profile: Dr Hieu Nim More information about project #1881
Prerequisites Currently studying Bachelor Degree in Computer Science/ Data Science/ Biostatistics / Bioinformatics or Master of Biostatistics. Interest in research and big clinical data sets for translation into clinical findings within the cancer setting. See provided link for similar project and outcomes: https://www.ncbi.nlm.nih.gov/pubmed/30552158 Statistical analysis (basic and more complex) High level of experience in data input, collation, transformation Highly experienced in working with STATA and/or R Work independently
Additional details If shortlisted for this position you will have to attend an interview between 11th – 14th June. The successful candidate will be based working with Dr Tali Lang at Cabrini Research institute in Malvern and will be required to travel for meetings with Dr. Hieu Nim at Monash University Clayton. The successful candidate will have to have their own laptop and software installed to complete the project being undertaken. The successful candidate will also have to complete mandatory administration and OHS training before commencing placement at Cabrini.
Applications Applications closed on Friday, 24 May 2019.

Recurrent Neural Networks for Time Series Forecasting
Code	Start date	Value	Contact
1902	1 July 2019 (negotiable)	$2000 ($500 x 4 weeks)	Dr Christoph Bergmeir Email: Christoph.Bergmeir@monash.edu Research profile: Dr Christoph Bergmeir
Prerequisites Strong programming skills, interest in data analysis/visualization, R programming skills.
Additional details The student will work as part of a team in an ongoing research project. The research project description is as follows. Forecasting is a prominent problem to be solved on operational, tactical, and strategical levels in many organizations. Especially on the operational level, large quantities of related time series and additional information is often available nowadays. Deep learning techniques, most notably recurrent neural networks (RNN), have recently shown their potential in this field, outperforming traditional univariate forecasting methods. However, this leads now to a large gap between easy to use, fully automatic univariate methods, and highly specialized RNN methods. This project aims to bridge this gap by expanding our current software framework into a new standard software framework in the field of RNNs for time series forecasting, and by performing a rigorous experimental study. Besides the incorporation of different network architectures and preprocessing mechanisms, our particular interest lies in automatization, e.g. with automatic hyperparameter tuning (Bayesian Optimization, COCOB) and automatic preprocessing (e.g. as in the auto.arima function in the forecast R package). On this base, we will then advance the state of the art in the inclusion of additional information available about the time series, by using novel time series feature extraction methods and data-driven methods (auto-encoders, CNN), and will expand our bootstrap aggregation (bagging) approach to a data-augmentation approach based on Generational Adversarial Networks, to achieve very accurate forecasting methods, applicable within our framework to databases of related time series in an automatic way.
Applications Applications closed on Friday, 24 May 2019.

Towards ML/AI generated content for language learning
Code	Start date	Value	Contact
1903	1 July 2019 (negotiable)	$1000 ($250 x 4 weeks)	Dr. Christoph Bergmeir, Dr. Jessica Chakowa (Arts) Email: Christoph.Bergmeir@monash.edu Research profile: Dr. Christoph Bergmeir, Dr. Jessica Chakowa (Arts)
Prerequisites Interest in tools for language learning (English, Chinese, French, any language will work). Interest to explore new tools, new ideas, find literature on the topic. Some technical skills and programming skills desirable. This project is suitable for either students with a technical background and an interest in language learning (any language), or for students who are currently studying a Language at Monash (ideally French or Spanish) and are tech-savvy, interested in programming, Artificial Intelligence, etc. If suitable candidates are available, we may select 2 students, one with a technical and one with a language learning background.
Additional details We have a great opportunity in a rather unconventional project. This project will help to set up a small prototype in a collaboration with the Monash Faculty of Arts (French studies in particular). We want to trial an existing language learning app (Android) for French. The app is currently not publicly available, so some tweaking may be necessary, but will be minimal. Furthermore, some content generation (subtitle editing, mp3 editing) will be necessary. We also want to get an overview of what is out there, so you will need to perform a literature review and a search on the app store about similar concepts already implemented. A student who wants to afterwards perform a Masters or Honours thesis with us in this field will get bonus points.
Applications Applications closed on Friday, 24 May 2019.

Forecasting with Exponential Smoothing: Modifications and novel fitting procedures
Code	Start date	Value	Contact
1904	1 July 2019 (negotiable)	$2000 ($500 x 4 weeks)	Dr Christoph Bergmeir Email: Christoph.Bergmeir@monash.edu Research profile: Dr Christoph Bergmeir
Prerequisites Strong programming skills, R and C/C++ required, ability to easily understand existing C code. ETC3550 or ETF5231 or equivalent knowledge of exponential smoothing methods required.
Additional details The aim of this project is to extend the current model fitting of the ets function in the R forecast/fable packages with local/global trend models from the Rlgt package (also R, on CRAN, see vignettes there). Then, in a further step, we want to replace the current simplex (Nelder-Mead) optimizer in ets with other more complex global continuous solvers, such as CMAES, Rmalschains, GenSA, or others. All methods are readily available in R and the ets code only needs to be adapted to use these functions instead of the built-in 'optim' function. Ideally, this will be a head-start into a Minor Masters or Honours thesis.
Applications Applications closed on Friday, 24 May 2019.

Adding Machine Learning capabilities to MiniZinc
Code	Start date	Value	Contact
1908	1 July 2019 (negotiable)	$2000 ($500 x 4 weeks)	Dr Guido Tack, Professor Peter Stuckey Email: Guido.Tack@monash.edu Research profile: Dr Guido Tack, Professor Peter Stuckey More information about project #1908
Prerequisites Strong programming skills, preferably C++; ideally knowledge of machine learning methods, optimisation methods and MiniZinc
Additional details Machine learning is being recently considered as a possible way to help build models of optimisation problems. MiniZinc is one of the most popular modelling languages for discrete optimisation problems. It has been developed at Monash, in collaboration with Melbourne University and Data-61. While MiniZinc provides considerable support for modellers, this support does not include machine learning capabilities. The task of this project is to incorporate machine learning into MiniZinc to help modellers produce better models. [1] Lombardi, M, Milano, M. Boosting Combinatorial Problem Modeling with Machine Learning. IJCAI 2018: 5472-5478 [2] Nethercote, Nicholas, Peter J. Stuckey, Ralph Becket, Sebastian Brand, Gregory J. Duck, and Guido Tack. 'MiniZinc: Towards a standard CP modelling language.' CP 2007. 529-543.
Applications Applications closed on Friday, 24 May 2019.

Software testing for constraint programming languages
Code	Start date	Value	Contact
1909	1 July 2019 (negotiable)	$1600 ($400 x 4 weeks)	Dr Guido Tack Email: Guido.Tack@monash.edu Research profile: Dr Guido Tack More information about project #1909
Prerequisites Strong programming skills, preferably C++; ideally knowledge of software testing methods, optimisation methods and MiniZinc
Additional details Software testing is an important method for ensuring correctness and efficiency of large software systems. In this project you will adapt traditional software testing methods (such as fuzz testing and symbolic execution) to constraint programming languages.
Applications Applications closed on Friday, 24 May 2019.

Maker workshops for all
Code	Start date	Value	Contact
1910	1 July 2019 (negotiable)	$2000 ($500 x 4 weeks)	Dr Kirsten Ellis and Professor Patrick Olivier Email: Kirsten.Ellis@monash.edu Research profile: Dr Kirsten Ellis and Professor Patrick Olivier
Prerequisites Open but a interest in physical computing and making would be an advantage.
Additional details All Australians deserve the opportunity to participate in science activities including people with disabilities. This project will develop and deliver modified maker activities that meet the requirements of people with different abilities. Maker workshops provide opportunities for engagement with scientific principles in a creative and hands on manner. You will have the opportunity to design the activities to engage participants that have sensory disabilities, significant motor disabilities and/or cognitive disabilities. The focus will be on engaging participants in the scientific activities focused on what they are able to achieve rather than any limitations. Note: Student that take up the scholarship must attend Caulfield Campus Action Lab 10-4 4 days a week as a minimum.
Applications Applications closed on Friday, 24 May 2019.

Porting Smooth Particle Hydrodynamics LAMMPS package to GPUs.
Code	Start date	Value	Contact
1911	1 July 2019 (negotiable)	$2000 ($500 x 4 weeks)	Prof. Christopher Hutchinson and Dr Alban de Vaucorbeil (Faculty of Engineering) Email: Alban.devaucorbeil@monash.edu More information about project #1911 (pdf)
Prerequisites FIT3143 or FIT5170, Linux proficiency, Git knowledge, good knowledge of C/C++ and CUDA.
Additional details Shortlisted applicants will be interviewed at a mutually convenient time
Applications Applications closed on Friday, 24 May 2019.

Woodside - Interactive Exploration of LNG Plant Layout in 3D: Measuring distances
Code	Start date	Value	Contact
1912	1 July 2019	$2000 ($500 x 4 weeks)	Dr Michael Wybrow, Dr Tobias Czauderna, Matthias Klapperstueck Email: Michael Wybrow@monash.edu Research profile: Dr Michael Wybrow, Dr Tobias Czauderna, Matthias Klapperstueck More information about project #1912
Prerequisites JavaScript programming skills necessary. Ideally experience with 3D graphics, 3D software, or 3D mathematics.
Additional details As part of a larger research collaboration with Woodside Energy, this project involves research and development of a smart measuring tool for an existing web-based system to allow users to measure distance between equipment and pipes in an automatically computed 3D plant layout. See more via project website link.
Applications Applications closed on Friday, 24 May 2019.

Woodside - Interactive Exploration of LNG Plant Layout in 3D: Smart view computation
Code	Start date	Value	Contact
1913	1 July 2019	$2000 ($500 x 4 weeks)	Dr Michael Wybrow, Dr Tobias Czauderna, Matthias Klapperstueck Email: Michael.Wybrow@monash.edu Research profile: Dr Michael Wybrow, Dr Tobias Czauderna, Matthias Klapperstueck More information about project #1913
Prerequisites JavaScript programming skills necessary, ideally experience with 3D graphics, 3D software, 3D mathematics
Additional details As part of a larger research collaboration with Woodside Energy, this project involves research and development of a support a smart method to focus on selected elements (such as equipment and pipes) in an automatically computed 3D plant layout, altering the 3D view to make those selected items visible. See more via project website link.
Applications Applications closed on Friday, 24 May 2019.

Automatic Exploration of Mobile Apps for Collecting UI Code
Code	Start date	Value	Contact
1918	1 July 2019 (negotiable)	$1600 ($400 x 4 weeks)	Dr Chunyang Chen Email: Chunyang.Chen@monash.edu Research profile: Dr Chunyang Chen
Prerequisites Android app development, Linux, Java/Python programming experience.
Additional details There are millions of apps around the world, and we are now going to develop a tool to automatically collect the mobile app UI screenshots and their corresponding source code.
Applications Applications closed on Friday, 24 May 2019.

Lack of Design Inspiration? Search Design Space
Code	Start date	Value	Contact
1919	1 July 2019 (negotiable)	$1600 ($400 x 4 weeks)	Dr Chunyang Chen Email: Chunyang.Chen@monash.edu Research profile: Dr Chunyang Chen
Prerequisites The web and software development experience and Python programming (especially python-based framework like Flask or Django) are preferred.
Additional details We have collected tens of thousands of UI design, and we need to develop a tool or website for helping designers/developers efficiently search the UI design.
Applications Applications closed on Friday, 24 May 2019.

Proactive Policy Assurance of Mobile GUI design
Code	Start date	Value	Contact
1921	1 July 2019 (negotiable)	$1600 ($400 x 4 weeks)	Dr Chunyang Chen Email: Chunyang.Chen@monash.edu Research profile: Dr Chunyang Chen
Prerequisites Android app development, Linux, Java/Python programming experience, image processing and data analysis
Additional details Good UI design is difficult and time-consuming, even for professional designers, as UI design must follow many design rules and principles, such as universal usability, clear readability, aesthetic appearance, and designers’ creativity and consideration of users’ needs. We have collected a lot of UIs from thousands of apps with their corresponding app rating score. We hope to develop a model to help detect the defects of existing UI designs.
Applications Applications closed on Friday, 24 May 2019.

A security-aware data storage framework for Building Information Modelling
Code	Start date	Value	Contact
1928	1 July 2019	$2000 ($500 x 4 weeks)	Dr Xingliang Yuan Email: Xingliang.Yuan@monash.edu Research profile: Dr Xingliang Yuan
Prerequisites The candidate should have background on security, databases, and computer networks.
Additional details Building Information Modelling (BIM) is transforming the way infrastructure is planned, built and operated. BIM is a collaborative approach that relies on sharing data and models among all teams involved in project delivery. This promises increased efficiencies, but also raise new challenges in relation to data management and data security. This project will investigate and address how these risks can be minimised through adopting appropriate cyber security protocols and contractual risk allocations in the entire BIM infrastructure life-cycle.
Applications Applications closed on Friday, 24 May 2019.

Recommending similar source code by mining big data analytics source code repositories
Code	Start date	Value	Contact
1933	25 November 2019	$5000 ($500 x 10 weeks)	Prof. John Grundy, Dr Aldeida Aleti, Dr Chunyang Chen, Dr Hourieh Khalajzadeh Email: Hourieh.Khalajzadeh@monash.edu Research profile: Prof. John Grundy, Dr Aldeida Aleti, Dr Chunyang Chen, Dr Hourieh Khalajzadeh
Prerequisites Strong programming skills including Python; Text mining and data wrangling skills.
Additional details If shortlisted, you will need to attend an interview late July/early August. Applicants might be asked for code or project samples.
Applications Applications closed on Friday, 26 July 2019.

Academic Time Optimiser Product Development
Code	Start date	Value	Contact
2029	25 November 2019	$6000 ($500 x 12 weeks)	Professor Allie Clemans, Academic Director Monash Education Academy Email: Allie.Clemans@monash.edu Research profile: Professor Allie Clemans, Academic Director Monash Education Academy
Prerequisites The project objective is to develop a viable digital product that enhances student learning experience by facilitating remote communication and minimises repetition of mundane tasks. This project is looking to recruit three students with the following experience and skills sets: Front end web development experience using React (JavaScript framework) Back-end architecture and development experience preferably using azure or amazon Demonstrated ability to work independently Highly-developed written and verbal communication skills
Additional details Students are to submit a CV and cover letter which must: Detail and include examples of development experience (assignments and hobby developments are OK) Address why you would like to work with LiveTiles on this project Answer what innovation would you like to see implemented in the way you study and what would its impact be. Shortlisted students will need to be available for one day (date to be advised) in mid semester break (Monday 30 September - Friday 4 October) for a face-to-face assessment which will be held on campus Monash University.
Applications Applications closed on Friday, 26 July 2019.

Encrypted Database
Code	Start date	Value	Contact
2152	25 November 2019	$3500 ($250 x 14 weeks)	Dr Xingliang Yuan Email: Xingliang.Yuan@monash.edu Research profile: Dr Xingliang Yuan More information about project #2152
Prerequisites The student should have (1) Good programming skills and (2) Familiarity with the basics of cryptography and distributed computing environments.
Additional details Background: The convenience of outsourcing has led to a massive boom in cloud computing. However, this has been accompanied by a rise in hacking incidents exposing massive amounts of private information. Encrypted databases are a potential solution to this problem, in which the database is stored in the cloud server in encrypted form, using a secret encryption key known only to the client (database owner), but not to the cloud server. However, existing encrypted database systems either are not secure enough, or suffer from various functionality and efficiency overhead limitations when compared to the unencrypted database, which can limit their practicality in various applications. The goal of this project is to explore, develop and evaluate improvements to a selected functionality and/or efficiency aspect of existing encrypted database systems, with the aim of improving their practicality.
Applications Applications closed on Friday, 4 October 2019.

What do we look at when we first see a data visualisation?
Code	Start date	Value	Contact
2153	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Prof Kim Marriott & Prof Tim Dwyer Email: Kim.Marriott@monash.edu Research profile: Prof Kim Marriott & Prof Tim Dwyer
Prerequisites Masters student, interest in data visualisation, programming experience.
Additional details This project will use eye-tracking software to find out what people first focus on when they see a data visualisation.
Applications Applications closed on Friday, 4 October 2019.

Virtual Heritage Project A; 3D asset modelling and character animation for Unity (9-weeks)
Code	Start date	Value	Contact
2154	25 November 2019 (negotiable)	$3600 ($400 x 9 weeks)	Tom Chandler, Mike Yeates Email: Tom.Chandler@monash.edu Research profile: Tom Chandler, Mike Yeates More information about project #2154
Prerequisites This project requires advanced 3D texturing, 3D animation and 3D modelling skills together with a working knowledge of Unity; the prerequisite units are FIT2087 and FIT3169.
Additional details Students will be shortlisted based on their folio of 3D work.
Applications Applications closed on Friday, 4 October 2019.

Virtual Heritage Project B; 3D asset modelling and character animation for Unity (5-weeks)
Code	Start date	Value	Contact
2155	25 November 2019 (negotiable)	$2000 ($400 x 5 weeks)	Tom Chandler, Mike Yeates Email: Tom.Chandler@monash.edu Research profile: Tom Chandler, Mike Yeates More information about project #2155
Prerequisites This project requires advanced 3D texturing, 3D animation and 3D modelling skills together with a working knowledge of Unity; the prerequisite units are FIT2087 and FIT3169.
Additional details Students will be shortlisted based on their folio of 3D work.
Applications Applications closed on Friday, 4 October 2019.

Recurrent Neural Networks for Time Series Forecasting
Code	Start date	Value	Contact
2156	25 November 2019 (negotiable)	$2000 ($200 x 10 weeks)	Dr. Christoph Bergmeir Email: Christoph.Bergmeir@monash.edu Research profile: Dr. Christoph Bergmeir
Prerequisites Strong programming skills, interest in data analysis/visualization, R/Python programming skills.
Additional details The student will work as part of a team in an ongoing research project. The research project description is as follows. Forecasting is a prominent problem to be solved on operational, tactical, and strategical levels in many organizations. Especially on the operational level, large quantities of related time series and additional information is often available nowadays. Deep learning techniques, most notably recurrent neural networks (RNN), have recently shown their potential in this field, outperforming traditional univariate forecasting methods. However, this leads now to a large gap between easy to use, fully automatic univariate methods, and highly specialized RNN methods. This project aims to bridge this gap by expanding our current software framework into a new standard software framework in the field of RNNs for time series forecasting, and by performing a rigorous experimental study. Besides the incorporation of different network architectures and preprocessing mechanisms, our particular interest lies in automatization, e.g. with automatic hyperparameter tuning (Bayesian Optimization, COCOB) and automatic preprocessing (e.g. as in the auto.arima function in the forecast R package). On this base, we will then advance the state of the art in the inclusion of additional information available about the time series, by using novel time series feature extraction methods and data-driven methods (auto-encoders, CNN), and will expand our bootstrap aggregation (bagging) approach to a data-augmentation approach based on Generational Adversarial Networks, to achieve very accurate forecasting methods, applicable within our framework to databases of related time series in an automatic way.
Applications Applications closed on Friday, 4 October 2019.

Towards ML/AI generated content for language learning
Code	Start date	Value	Contact
2157	25 November 2019 (negotiable)	$2000 ($200 x 10 weeks)	Dr. Christoph Bergmeir, Dr. Jessica Chakowa (Arts) Email: Christoph.Bergmeir@monash.edu Research profile: Dr. Christoph Bergmeir, Dr. Jessica Chakowa (Arts)
Prerequisites Strong programming skills, ideally React.js
Additional details This project will help to set up a small prototype in a collaboration with the Monash Faculty of Arts (French studies in particular). We want to continue the development of a language learning app (web app) for French. The theme of the app is around automatically generating language learning content. The app will be trialled next year in a French language class.
Applications Applications closed on Friday, 4 October 2019.

Are business intelligence systems different?
Code	Start date	Value	Contact
2158	6 January 2020 (negotiable)	$3000 ($500 x 6 weeks)	Emeritus Professor David Arnott and Dr Caddie Gao Email: Caddie.Gao@monash.edu Research profile: Emeritus Professor David Arnott and Dr Caddie Gao
Prerequisites Masters students who have taken FIT5094 and FIT5195 and achieved Distinction or above.
Additional details Business intelligence (BI) systems are large-scale decision support systems that help decision makers throughout an organization. BI is currently the largest IT expenditure in organizations and is rated by CIOs worldwide as one of their top priorities. In both practice and research people assume that general information systems (IS) methods, techniques, and theories also apply to BI. We believe that they are fundamentally different and using “standard” approaches and theories can lead to project failure. This project is testing whether or not our hypothesized differences are real or not. To date we have conducted a focus group of senior BI practitioners and identified some differences. The summer scholarship holder will assist with the second phase of the project which will involve a focus group of senior IS academics. The scholarship holder will learn how to design and conduct a research focus group. We hope to run the group in the second half of February 2020. The ideal start date is early to mid-January so that the scholarship holder can take part in the focus group.
Applications Applications closed on Friday, 4 October 2019.

A sensory lake walk
Code	Start date	Value	Contact
2159	25 November 2019 (negotiable)	$3000 ($300 x 10 weeks)	Dr Kirsten Ellis Email: Kirsten.Ellis@monash.edu Research profile: Dr Kirsten Ellis
Prerequisites Experience in making and programming would be an advantage. The student would require a willingness to work with people who have a disability to build an experience to meet their needs.
Additional details This project will work with Wallara in Baxter to realise a sensory walk around a lake for people with disabilities. This project will design and create a number of station around the lake that will provide a unique sensory experience. Industry partner: Wallara (https://www.wallara.com.au)
Applications Applications closed on Friday, 4 October 2019.

Technology to assist with counting in a cafe
Code	Start date	Value	Contact
2160	25 November 2019 (negotiable)	$3000 ($300 x 10 weeks)	Dr Kirsten Ellis Email: Kirsten.Ellis@monash.edu Research profile: Dr Kirsten Ellis
Prerequisites A background in programing and interface design would be an advantage. The student would require a willingness to work with people who have a disability to enable them to achieve their full potential.
Additional details This project will work with Wallara to help their clients who have an intellectual disability to engage in work at a Café by enabling them to calculate the price of orders and return the correct change without being able to count. Industry partner: Wallara (https://www.wallara.com.au)
Applications Applications closed on Friday, 4 October 2019.

Analytics Support for Coordinated Online Participation
Code	Start date	Value	Contact
2161	25 November 2019 (negotiable)	$4000 ($500 x 8 weeks)	Professor Patrick Olivier Email: Patrick.Olivier@monash.edu Research profile: Professor Patrick Olivier More information about project #2161
Prerequisites Must have completed FIT5125 or FIT4005.
Additional details Significant experience of technical development required. Industry partner: IFRC https://media.ifrc.org/ifrc/
Applications Applications closed on Friday, 4 October 2019.

Optimisation Modelling for Prostate Cancer Treatment
Code	Start date	Value	Contact
2162	25 November 2019 (negotiable)	$2400 ($400 x 6 weeks)	Dr. John Betts, Dr Kevin Leo, Dr Guido Tack Email: John.Betts@monash.edu Research profile: Dr. John Betts, Dr Kevin Leo, Dr Guido Tack
Prerequisites Programming skills in Python, C, C++ or a similar language is necessary. Students having completed FIT2102 - Programming paradigms are preferred. An interest in optimisation, mathematical modelling and evaluating algorithms is desirable.
Additional details This project is based on translating an existing prostate cancer treatment planning model into Python, C or a similar language, incorporating new functionality, testing and optimising code. This project also requires the development of a simple user interface to enable use by medical co-researchers.
Applications Applications closed on Friday, 4 October 2019.

Unsupervised real-time anomaly detection for streaming data
Code	Start date	Value	Contact
2163	25 November 2019 (negotiable)	$2400 ($400 x 6 weeks)	Dr. Mahsa Salehi Email: Mahsa.Salehi@monash.edu Research profile: Dr. Mahsa Salehi
Prerequisites Data Structures and Algorithms (FIT2004), Python programming, Data Science, Machine Learning
Additional details With the increase in connected real-time sensors, the detection of anomalies in streaming data is becoming increasingly important. In this project, we intend to compare the performance of our new histogram based anomaly detection algorithm with a benchmark deep neural network based anomaly detection algorithm. If shortlisted, you will need to attend an interview on 15 Nov.
Applications Applications closed on Friday, 4 October 2019.

Graph Neural Networks for Social Recommendation: A Comparative Study
Code	Start date	Value	Contact
2164	6 January 2020 (negotiable)	$3000 ($500 x 6 weeks)	Dr Shirui Pan Email: Shirui.Pan@monash.edu Research profile: Dr Shirui Pan
Prerequisites Masters students
Additional details Graph Neural networks (GNNs) are new techniques which enable deep learning to perform on graph or structure data. Due to its superb ability in many applications, including social networks, communication networks, and knowledge graphs, GNNs have attracted increasing attention in the research community (https://arxiv.org/abs/1901.00596). This project will look into the applications of social recommendation, which aims to recommend items to the user with the help of social relation. Which algorithm performs best for the social recommendation? The student will implement and compare several GNN algorithms in pytorch_geometric (https://github.com/rusty1s/pytorch_geometric). Ideally, the student should have solid knowledge in data analysis algorithms, familiar with python, and have knowledge in deep learning and recommender system.
Applications Applications closed on Friday, 4 October 2019.

Tell me a story! Better understanding how public libraries are lending audio-books
Code	Start date	Value	Contact
2165	25 November 2019 (negotiable)	$3000 ($500 x 6 weeks)	Dr François Petitjean, Monash U., Computer Science, Dr Millicent Weber, ANU, Linguistics, A/Prof Rebecca Giblin, Melbourne U, Law Email: Francois.Petitjean@monash.edu Research profile: Dr François Petitjean, Monash U., Computer Science, Dr Millicent Weber, ANU, Linguistics, A/Prof Rebecca Giblin, Melbourne U, Law More information about project #2165
Prerequisites Computer science, econometrics, economics
Additional details Come and do Data Science for Social Good with this project for which we have collected the availability and pricing for 100,000 ebooks and audiobooks to public libraries. As part of a national project (http://elendingproject.org/), we have studied how the shift to ebooks is impacting public libraries to deliver on their public interest mission. That project is now near completion but was only concerning ebooks and not audiobooks. The aim of this project is to study the situation for audiobooks (as compared to ebooks), which are used more and more by public library patrons. Come and be part of this interdisciplinary team between Data Science, Linguistics and Legal studies. The data has been collected when running the e-lending project (see website). We have strong collaborations with public libraries in Australia, NZ, the USA, Canada and the UK. Our main partners include: National and State Libraries Australasia (NSLA) Australian Library and Information Association (ALIA) State Library of Western Australia State Library of South Australia State Library of NSW Yarra Plenty Regional Library Service Gold Coast City Council Brisbane City Council Vancouver Public Library (Canada) St Mary’s County Library (as part of the Maryland Digital Library consortium) (US) Auckland Libraries (NZ) Hampshire Libraries (UK)
Applications Applications closed on Friday, 4 October 2019.

Developing the Human Controller: AI and Electric Muscle Stimulation
Code	Start date	Value	Contact
2166	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Jarrod Knibbe and Dr Graeme Gange Email: Jarrod.Knibbe@monash.edu Research profile: Dr Jarrod Knibbe and Dr Graeme Gange
Prerequisites Project can vary based on skillset. Opportunities include: (1) AI for calibration, (2) Animation (e.g., Maya with rigging and modelling experience), (3) Electronics and hardware, (4) Study design and UX, (5) Interaction Design and development. Some programming experience is necessary.
Additional details If shortlisted, you will need to attend an interview
Applications Applications closed on Friday, 4 October 2019.

Power Storage Modelling for Renewable Energy Systems
Code	Start date	Value	Contact
2167	13 January 2020 (negotiable)	$1600 ($400 x 4 weeks)	Dr John Betts Email: John.Betts@monash.edu Research profile: Dr John Betts
Prerequisites Programming skills in Python are necessary, other languages by negotiation. An interest in any of: mathematical modelling, simulation, optimisation, or evaluating algorithms is desirable.
Additional details This project is based on translating an existing computer simulation model of solar energy production and battery storage into Python, incorporating new functionality, testing and optimising code, and developing a simple interface to enable user control such as parameter setting and saving results.
Applications Applications closed on Friday, 4 October 2019.

Space-time Cube Visualisation in Augmented Reality w/ Microsoft HoloLens & TabletopDisplay
Code	Start date	Value	Contact
2168	25 November 2019 (negotiable)	$3000 ($300 x 10 weeks)	Dr Sarah Goodwin, Dr Barrett Ens, Dr Arnaud Prouzeau, Dr Maxime Cordeil Prof. Tim Dwyer Email: Tim.Dwyer@monash.edu Research profile: Dr Sarah Goodwin, Dr Barrett Ens, Dr Arnaud Prouzeau, Dr Maxime Cordeil Prof. Tim Dwyer
Prerequisites Data Visualisation and/or VR/AR Unity development
Applications Applications closed on Friday, 4 October 2019.

Analyse Ctrl Room User Data inc. Gaze Tracking & Physiological measures of Cognitive Load
Code	Start date	Value	Contact
2169	25 November 2019 (negotiable)	$3000 ($300 x 10 weeks)	Dr Arnaud Prouzeau, Dr Sarah Goodwin, Dr Tim Dwyer Email: Tim.Dwyer@monash.edu Research profile: Dr Arnaud Prouzeau, Dr Sarah Goodwin, Dr Tim Dwyer
Prerequisites Data Science and HCI units, R, python or other data analytics tools
Applications Applications closed on Friday, 4 October 2019.

Audio Video Transfer Learning from Web Data for Epilepsy Analysis
Code	Start date	Value	Contact
2170	25 November 2019 (negotiable)	$3000 ($500 x 6 weeks)	Dr. Abhinav Dhall, Prof. Sharon Oviatt Email: Sharon.Oviatt@monash.edu Research profile: Dr. Abhinav Dhall, Prof. Sharon Oviatt
Prerequisites Deep learning experience with audio or video modality
Additional details Much progress in computer vision and speech analysis in recent times has been achieved through transfer learning [1]. One of the biggest challenges in digital health problems related to neurological disorders is small datasets. This project is focused on experimenting with transfer learning from face analysis dataset to epilepsy data. The hypothesis is that the noisy labelled data available on social networking portals may help in learning a generic representation describing the visual markers in epilepsy. Convolutional Neural Networks (CNN) will be used for training on the visual data. Pre-trained CNN will also be used for fine tuning. Recurrent Neural Networks wil be used for the audio data. The results and learning from the work will be communicated to a peer-reviewed conference. [1] Ng et al., Deep learning for emotion recognition on small datasets using transfer learning, ACM ICMI 2015.
Applications Applications closed on Friday, 4 October 2019.

Immersive Network Visualisation
Code	Start date	Value	Contact
2171	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Maxime Cordeil, Prof. Tim Dwyer, Prof Kim Marriott Email: Tim.Dwyer@monash.edu Research profile: Dr Maxime Cordeil, Prof. Tim Dwyer, Prof Kim Marriott
Prerequisites Data Visualisation and/or VR/AR Unity development
Applications Applications closed on Friday, 4 October 2019.

Visualisation of Economic and Social Networks
Code	Start date	Value	Contact
2172	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Maxime Cordeil, Prof. Tim Dwyer, Prof Kim Marriott Email: Tim.Dwyer@monash.edu Research profile: Dr Maxime Cordeil, Prof. Tim Dwyer, Prof Kim Marriott
Prerequisites Data Visualisation and JavaScript Web Programming
Applications Applications closed on Friday, 4 October 2019.

Auto Layout enabled User Interface for End-to-End Collaborative Big Data Analytics Dev
Code	Start date	Value	Contact
2173	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Hourieh Khalajzadeh, Prof. John Grundy, Prof. Tim Dwyer, Dr Michael Wybrow Email: Hourieh.Khalajzadeh@monash.edu Research profile: Dr Hourieh Khalajzadeh, Prof. John Grundy, Prof. Tim Dwyer, Dr Michael Wybrow More information about project #2173
Prerequisites Required: interactive HTML5 web development using JavaScript Preferred: graphic design
Additional details This project empowers end-users with a web-based auto-layout user interface for designing data analytics applications. A prototype of the tool is created and needs to be designed as interactive constraint-based layout in the browser. Prototype of the tool: https://conferences.computer.org/serviceswp/2019/pdfs/BigDataCongress2019-I5lsGkiqusbj2FQTCmT21/2G4xHGctgkVrAA1EjWBUEJ/5sC4hG0UnS8fDLnH5Ki6CI.pdf Examples of the interactive constraint-based layout that needs to be designed: https://ialab.it.monash.edu/webcola/ If shortlisted, you will need to attend an interview late October/early November. Applicants might be asked for code or project samples.
Applications Applications closed on Friday, 4 October 2019.

Solar-powered Edge Computing Platform for Automated Pest Bird Repellent System
Code	Start date	Value	Contact
2174	25 November 2019	$3000 ($500 x 6 weeks)	Dr Adel Toosi Email: Adel.N.Toosi@monash.edu Research profile: Dr Adel Toosi
Prerequisites Experience with Raspberry PIs. Good at Python and Shell Scripting Experience with Docker containers.
Additional details If shortlisted, you will need to attend an interview.
Applications Applications closed on Friday, 4 October 2019.

Linking attribute-based group signatures w the validation of ABAC policies in multi-domain
Code	Start date	Value	Contact
2175	25 November 2019 (negotiable)	$3000 ($500 x 6 weeks)	Assoc Prof Carsten Rudolph, Ahmad Salehi Email: Carsten.Rudolph@monash.edu Research profile: Assoc Prof Carsten Rudolph, Ahmad Salehi
Prerequisites Experience as a programmer, and understanding of cryptography primitives (e.g., digital signature, group signature etc.). Relevant for this project is C++ or Java (J2EE), WSO2, and XML (XACML). Some understanding of web application and access control is an advantage.
Additional details Description: Attribute-based access control (ABAC) evaluates access policies relative to attributes of the subject requesting access. Usually, it is assumed that the entity responsible for policy decision has sufficient access to attributes. However, in multi-domain scenarios, attributes might be controlled by local attribute authorities in a different domain than the policy decision point. One example can be health data stored by one hospital, but the doctor requesting access is with a different hospital. Centralised authorities or a cross-domain exchange of attributes can solve this issue, but both solutions have drawbacks in terms of privacy and the need of centralised on-line authorities. Attribute-based group signatures (ABGS) is a novel cryptography primitive of digital signature that allows the signer to endorse a piece of message with set of certain attributes in order to preserve the privacy of the signer’s identity. ABGS can potentially be used to confirm the validity of attributes for a particular subject, even cross-domains. The goal of this project is to show the feasibility of using attribute based group signatures a part of XACML policy decisions (ABAC model) by creating and testing a proof-of-concept implementation.
Applications Applications closed on Friday, 4 October 2019.

Cloud-based Health Information Systems: Managing Patient Records
Code	Start date	Value	Contact
2176	25 November 2019	$3000 ($500 x 6 weeks)	Associate Professor David Taniar Email: David.Taniar@monash.edu Research profile: Associate Professor David Taniar
Prerequisites Experience in web programming, cloud database, and database design. Must have strong programming skills.
Additional details Brief synopsis of the project: A cloud-based database system is required to manage patients’ blood test results, daily blood pressures, daily nutrition and exercise activities, as well as patients’ past health conditions prior admission to the health centre. Analysis will be conducted to analyze the impact of patient admission to the health centre following the activities and diets in the health centre. Industry partner: Aenon Healthcare, Malaysia
Applications Applications closed on Friday, 4 October 2019.

Explainable Artificial Intelligence to Prevent Cyberattacks
Code	Start date	Value	Contact
2177	25 November 2019	$5600 ($400 x 14 weeks)	Dr. Chakkrit Tantithamthavorn, Dr. Aldeida Aleti & Prof John Grundy Email: Chakkrit@monash.edu Research profile: Dr. Chakkrit Tantithamthavorn, Dr. Aldeida Aleti & Prof John Grundy
Prerequisites Software Engineering honour students / Master students (Interview is required) Knowledge about Machine Learning and Deep Learning is a plus.
Additional details Students will be closely mentored by supervisors to conduct excellent research that has a large positive societal impact. Depending on opportunities, students may have publication(s) in top-tier venues in software engineering (including Conference Travel and a PhD scholarship offer). Background: Cyberattacks are a malicious and deliberate attempt by attackers to breach and exploit vulnerabilities in safety-critical systems, posing the greatest threats to national security, economy, and society. For example, the WannaCry ransomware attack, which exploited a vulnerability in Microsoft Windows systems, hit medical emergency rooms across the UK, significantly disrupting medical procedures for many patients. Existing techniques and tools for security analysis are no longer able to cope with the significant increase in the size and complexity of applications, resulting in a massive number of attack-prone vulnerabilities reported in recent years. Aim: This project aims to develop an end-to-end explainable AI platform that leverages advanced machine intelligence techniques (e.g., Deep Learning, Statistics, ML, Optimization) in order to (1) understand the nature of cyberattacks; (2) predict vulnerabilities; (3) highlight vulnerable code; (4) explain and visualise the characteristics of vulnerabilities; (5) suggest potential patches to automatically fix vulnerabilities; and (6) integrate such platform into GitHub. Students will be contributed as part of this overarching project, depending on their interest and suitability. The potential outcome of this project is expected to protect cyberattacks that often exploit many Australian IT systems.
Applications Applications closed on Friday, 4 October 2019.

Variants of Multi-agent Path Finding
Code	Start date	Value	Contact
2178	25 November 2019 (negotiable)	$3000 ($500 x 6 weeks)	Dr. Edward Lam, Dr. Daniel Harabor, Prof. Peter Stuckey Email: Edward.Lam@monash.edu Research profile: Dr. Edward Lam, Dr. Daniel Harabor, Prof. Peter Stuckey More information about project #2178
Prerequisites Linear programming (MTH3330) and mixed integer programming (MTH4333) are not necessary but highly regarded. Coding in C, C++ or Rust are preferred but Python or similar are acceptable.
Additional details The Multi-agent Path Finding problems seek to find multiple shortest paths on a grid such that the paths do not collide. The scholar will be required to model and solve variants of the basic problem using mixed integer programming. The anonymous multi-agent pathfinding problem is one variant that will be investigated.
Applications Applications closed on Friday, 4 October 2019.

Building healthcare FHIR APPs with Machine Learning capabilities
Code	Start date	Value	Contact
2179	25 November 2019	$5000 ($500 x 10 weeks)	Dr. Chunyang Chen, Dr. Aldeida Aleti, and Prof John Grundy Email: Aldeida.Aleti@monash.edu Research profile: Dr. Chunyang Chen, Dr. Aldeida Aleti, and Prof John Grundy
Prerequisites Computer Science / Software Engineering / Master students (Interview is required)
Additional details Knowledge about Machine Learning and Deep Learning is a plus. Students will be closely mentored by supervisors to conduct excellent research that has a large positive societal impact. Depending on opportunities, students may have a publication(s) in top-tier venues in software engineering (including Conference Travel and a PhD scholarship offer). Background: Over the past 10 years, healthcare data has moved from being largely on paper to being almost completely digitized in electronic medical records (EMRs). EMR systems are a rich source of information that can provide life-saving insights into patients health. There is a great opportunity to use machine learning with EMRs for predicting medical events and prevent any deterioration of health. The large amount of information stored in EMRs, however, makes it challenging to apply machine learning. Aim: In this project, we will investigate methods for making healthcare data work better with machine learning. We will use Fast Healthcare Interoperability Resources (FHIR), which is the state of the art standard for representing health data. However, FHIR is very hierarchical making it challenging for applying machine learning. To enable large-scale machine learning, we will extend the FHIR framework with an efficient method for serializing large amounts of data to disk, and a representation that allows the analyses of large datasets. To make the predictions more accessible for patients and doctors, at the end of the project we will build FHIR mobile APPs.
Applications Applications closed on Friday, 4 October 2019.

Automated model improvement
Code	Start date	Value	Contact
2180	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Graeme Gange and Prof Maria Garcia de la Banda Email: Graeme.Gange@monash.edu Research profile: Dr Graeme Gange and Prof Maria Garcia de la Banda
Prerequisites Strong programming skills (preferably C++), ideally some knowledge of discrete optimisation.
Additional details Constraint modelling languages (like MiniZinc) can be powerful tools for solving real optimisation problems. However there can be a vast gap in performance between different models for the same problem. We have developed techniques that dynamically modify the formulation of a single optimisation run. In this project, you will investigate automatic methods to generalise these results, to learn improvements to the original problem model. See [https://www.monash.edu/it/data-science/optimisation] for more information about our group and research projects. MiniZinc: [https://www.minizinc.org]
Applications Applications closed on Friday, 4 October 2019.

Explaining propagators for Smart Multi-Valued Variable Diagrams
Code	Start date	Value	Contact
2181	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Graeme Gange and Prof Peter Stuckey Email: Graeme.Gange@monash.edu Research profile: Dr Graeme Gange and Prof Peter Stuckey
Prerequisites Strong programming skills (preferably C++), ideally some knowledge of discrete optimisation.
Additional details Multi-valued Decision Diagrams (MDDs) are an effective formalism for expressing problem-specific constraints in optimisation problems. However, standard MDDs are rigid, and for some constraints become very large. Recent work has proposed Smart Multi-valued Variable Diagrams, which permit a more compact (and thus faster) representation of a wide range of constraints. In this project, you will develop algorithms needed to integrate these constraints into a lazy clause generation-based constraint solver -- in particular, algorithms for efficiently explaining why a given inference could be made. See [https://www.monash.edu/it/data-science/optimisation] for more information about our group and research projects.
Applications Applications closed on Friday, 4 October 2019.

Woodside - Visualising Invalid 3D Movements for Optimisation of Plant Layouts
Code	Start date	Value	Contact
2183	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Michael Wybrow, Dr Tobias Czauderna, Matthias Klapperstueck Email: Michael.Wybrow@monash.edu Research profile: Dr Michael Wybrow, Dr Tobias Czauderna, Matthias Klapperstueck
Prerequisites JavaScript programming skills essential. Experience with 3D graphics, 3D software, 3D mathematics ideal.
Additional details Background: We have an exciting project with Woodside Energy that involves optimising the layout of a Liquefied Natural Gas (LNG) production plant. As part of the project, we visualise a 3D model (equipment + pipes connecting the equipment) of the plant in an interactive 3D viewer applying an initial automatically generated layout considering constraints such as safety distances or maintenance requirements. In the next stage of the project, we would like to extend the 3D viewer towards interactive optimisation based on the initial layout. Aim: To allow an engineer to suggest a new position for a particular piece of equipment and have the 3D viewer communicate the validity of that position subject to the positions of other equipment and various layout constraints. This project would involve exploration of how best display in 3D the validity of these positions or the constraints that make them invalid. This student will closely collaborate with the student in project “Woodside - Efficiently Determining Invalid 3D Movements for Optimisation of Plant Layouts” Industry Partner: Woodside Energy
Applications Applications closed on Friday, 4 October 2019.

Woodside - Efficiently Determining Invalid 3D Movements for Optimisation of Plant Layouts
Code	Start date	Value	Contact
2184	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Michael Wybrow, Dr Senthooran Ilankaikone, Dr Tobias Czauderna Email: Michael.Wybrow@monash.edu Research profile: Dr Michael Wybrow, Dr Senthooran Ilankaikone, Dr Tobias Czauderna
Prerequisites Strong programming skills required. Knowledge of constraint solving, MiniZinc beneficial.
Additional details Background: We have an exciting project with Woodside Energy that involves optimising the layout of a Liquefied Natural Gas (LNG) production plant. As part of the project, we visualise a 3D model (equipment + pipes connecting the equipment) of the plant in an interactive 3D viewer applying an initial automatically generated layout considering constraints such as safety distances or maintenance requirements. In the next stage of the project, we would like to extend the 3D viewer towards interactive optimisation based on the initial layout. Aim: To allow an engineer to suggest a new position for a particular piece of equipment there is a need to quickly determine the satisfiability of a model where only one thing is being changed (a new position for a piece of equipment specified by the user), or determine the complete set (or subset) of valid movements. This project we will investigate different solver technology or approaches that can be used to evaluate this at interactive speeds. This student will closely collaborate with the student in project “Woodside - Visualising Invalid 3D Movements for Optimisation of Plant Layouts” Industry Partner: Woodside Energy
Applications Applications closed on Friday, 4 October 2019.

Woodside - Efficiently Determining Invalid 3D Movements for Optimisation of Plant Layouts
Code	Start date	Value	Contact
2185	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Michael Wybrow, Dr Senthooran Ilankaikone, Dr Tobias Czauderna Email: Michael.Wybrow@monash.edu Research profile: Dr Michael Wybrow, Dr Senthooran Ilankaikone, Dr Tobias Czauderna
Prerequisites Strong programming skills required. Knowledge of constraint solving, MiniZinc beneficial.
Additional details Background: We have an exciting project with Woodside Energy that involves optimising the layout of a Liquefied Natural Gas (LNG) production plant. As part of the project, we visualise a 3D model (equipment + pipes connecting the equipment) of the plant in an interactive 3D viewer applying an initial automatically generated layout considering constraints such as safety distances or maintenance requirements. In the next stage of the project, we would like to extend the 3D viewer towards interactive optimisation based on the initial layout. Aim: To allow an engineer to suggest a new position for a particular piece of equipment there is a need to quickly determine the satisfiability of a model where only one thing is being changed (a new position for a piece of equipment specified by the user), or determine the complete set (or subset) of valid movements. This project we will investigate different solver technology or approaches that can be used to evaluate this at interactive speeds. This student will closely collaborate with the student in project “Woodside - Visualising Invalid 3D Movements for Optimisation of Plant Layouts” Industry Partner: Woodside Energy
Applications Applications closed on Friday, 4 October 2019.

A Visual Debugger for Pathfinding Search
Code	Start date	Value	Contact
2186	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Daniel Harabor, Dr Michael Wybrow Email: Michael.Wybrow@monash.edu Research profile: Dr Daniel Harabor, Dr Michael Wybrow
Prerequisites Strong programming skills essential. Some experience with JavaScript, SVG and C++ preferred.
Additional details This work aims to develop a visualisation tool to help practitioners better understand existing pathfinding algorithms and to help researchers more easily implement new pathfinding algorithms. The tool is intended to be used as both a pedagogical teaching aid and as a useful and online debugger for researchers writing such algorithms. In this project you will build upon an initial prototype visualisation tool written as a web application.  You will generalize and extend this tool to support various types of pathfinding algorithms, including several based on the Warthog pathfinding library [1]. [1] https://bitbucket.org/dharabor/pathfinding
Applications Applications closed on Friday, 4 October 2019.

BARD - Exploring how layout of Bayesian Networks influences understanding
Code	Start date	Value	Contact
2187	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Ann Nicholson, Dr Michael Wybrow, Dr Mor Vered Email: Michael.Wybrow@monash.edu Research profile: Dr Ann Nicholson, Dr Michael Wybrow, Dr Mor Vered
Prerequisites Some knowledge of Bayesian Networks or experimental design preferred.
Additional details Background: BARD—Bayesian Argumentation via Delphi—uses causal Bayesian networks as underlying structured representations for argument analysis and automated Delphi methods to help groups of analysts develop, improve and present their analyses. This multi year project has involved researching and designing new means of interacting with Bayesian networks, including new means of assessing their potential in causal explanations, and implementing the overall process as a web application for online problem analysis and elicitation.  At various stages of the BARD process, Bayesian Networks are displayed graphically using constraint-based network layout using WebCola [1] in order to prevent object from overlapping or enforce a causal flow for the network. Aim: This summer project will explore what effect that network layout has on human understanding of the information represented in Bayesian Networks.  This will involve designing, prototyping and conducting a controlled user study to answer this question. [1] https://ialab.it.monash.edu/webcola/
Applications Applications closed on Friday, 4 October 2019.

BARD - Extending Bayesian Network visualisation to show posteriors
Code	Start date	Value	Contact
2188	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Ann Nicholson, Dr Michael Wybrow, Email: Michael.Wybrow@monash.edu Research profile: Dr Ann Nicholson, Dr Michael Wybrow,
Prerequisites Strong JavaScript programming skills essential. Some experience with SVG and React preferred.
Additional details Background: BARD—Bayesian Argumentation via Delphi—uses causal Bayesian networks as underlying structured representations for argument analysis and automated Delphi methods to help groups of analysts develop, improve and present their analyses. This multi year project has involved researching and designing new means of interacting with Bayesian networks, including new means of assessing their potential in causal explanations, and implementing the overall process as a web application for online problem analysis and elicitation.  At various stages of the BARD process, Bayesian Networks are displayed graphically using constraint-based network layout using WebCola [1] in order to prevent object from overlapping or enforce a causal flow for the network. Aim: In this summer project you will extend the Bayesian Network visualisation used throughout the BARD process to show posterior probabilities integrated into the network visualisation. [1] https://ialab.it.monash.edu/webcola/
Applications Applications closed on Friday, 4 October 2019.

Visualising multiple long-term operating plans for a water supply system
Code	Start date	Value	Contact
2189	25 November 2019 (negotiable)	$2500 ($500 x 5 weeks)	Dr Ilankaikone Senthooran and Prof. Mark Wallace Email: Ilankaikone.Senthooran@monash.edu Research profile: Dr Ilankaikone Senthooran and Prof. Mark Wallace
Prerequisites JavaScript programming skills essential. Knowledge of constraint solving, MiniZinc beneficial.
Additional details We have an exciting project that involves generating long-term operating plans for bulk water distribution system. Distributing water through such a system requires careful planning to ensure optimal strategies to supply water. This requires consideration of many criteria including minimising operating cost and maximising water storage. We have developed a scenario-based interactive optimisation tool, based on the MiniZinc constraint modelling system. This tool can take demand forecasts for multiple years into account and incorporates potential drought response plan actions based on modelled storage levels. Aim of this project is to enable the user to visualise multiple plans each corresponding to different scenarios. This will allow rapid and interactive evaluation of different plans for different operating scenarios, thereby making the decision-making quicker, easier and more robust. This project is possibly extendable to 10 weeks.
Applications Applications closed on Friday, 4 October 2019.

Tangible Controls for AR and VR visualisation
Code	Start date	Value	Contact
2190	25 November 2019 (negotiable)	$3000 ($300 x 10 weeks)	Dr Maxime Cordeil, Prof. Tim Dwyer, Dr Jarrod Knibbe Email: Max.Cordeil@monash.edu Research profile: Dr Maxime Cordeil, Prof. Tim Dwyer, Dr Jarrod Knibbe
Prerequisites VR/AR Unity development, mechatronics is a plus, Arduino, fabrication, electronics
Applications Applications closed on Friday, 4 October 2019.

Technology design and testing for assisting people
Code	Start date	Value	Contact
2191	25 November 2019 (negotiable)	$3000 ($500 x 6 weeks)	Dr Kirsten Ellis and Patrick Olivier Email: Kirsten.Ellis@monash.edu Research profile: Dr Kirsten Ellis and Patrick Olivier
Prerequisites A background in usability or making would be an advantage.
Additional details This project will work on designing, developing and user testing devices for assisting people who are vision impaired or hard of hearing.
Applications Applications closed on Friday, 4 October 2019.

Causal Inference Meets Natural Language Understanding
Code	Start date	Value	Contact
2192	25 November 2019 (negotiable)	$3000 ($500 x 6 weeks)	Dr. Lizhen Qu and A/Prof. Reza Haffari Email: Lizhen.Qu@monash.edu
Prerequisites Students should have excellent grades in machine learning and relevant AI courses. Preference will be given to students who have strong problem-solving skills, as well as strong programming skills. Students with an interest in pursuing PhD research or careers in research are especially encouraged to apply. If shortlisted, you will need to attend an interview.
Additional details What will Alex do if he spilled the food he just prepared all over the floor? To answer this question, humans can infer that he will likely clean up the mess based on commonsense knowledge. To answer “What is the effect of a given drug in an elderly individual?”, we need to acquire knowledge from literature or experiments, and infer the possible effects. Those causal questions are still a challenge for machine learning models, because they need to both extract causal relations from text as a way of text understanding as well as perform causal inference over those relations. Unfortunately, the research on causal inference rarely use text as input data, while the work on causal relation extraction focuses on textual pattern matching for extraction but neglects reasoning. Thus, this project aims to implement a causal reasoner based on neural networks, which can both extract causal information from text and perform causal reasoning over extracted relations.
Applications Applications closed on Friday, 4 October 2019.

Predicting AFL match outcomes using count regression.
Code	Start date	Value	Contact
2193	25 November 2019 (negotiable)	$3000 ($500 x 6 weeks)	Dr. Daniel F. Schmidt Email: Daniel.Schmidt@monash.edu Research profile: Dr. Daniel F. Schmidt
Prerequisites Experience with data science required; Bayesian inference/Stan preferred.
Additional details This project will explore models for predicting the outcomes of AFL matches. This is a relatively understudied area of sports analytics. The project will look at utilising both latent strengths/weaknesses of teams along with side information such as Champion Data scores to build predictive models for the outcome of games. Some experience with the Stan modelling language would be preferable. If shortlisted, you will need to attend an interview (date TBD).
Applications Applications closed on Friday, 4 October 2019.

Body Movement Analysis for Epilepsy Video Data Classification
Code	Start date	Value	Contact
2194	25 November 2019 (negotiable)	$4000 ($500 x 8 weeks)	Dr. Jyoti Joshi & Prof. Sharon Oviatt Email: Sharon.Oviatt@monash.edu Research profile: Dr. Jyoti Joshi & Prof. Sharon Oviatt
Prerequisites Students should be advanced undergraduates or master-level in CS/IT, engineering with excellent grades and written and oral communication skills. Preference will be given to students who have previous experiences conducting computer vision, machine learning and/or deep learning research. Students with an interest in pursuing PhD research or careers in research are especially encouraged to apply.
Additional details This project deals with development of algorithm for body gesture analysis. It is documented that the patterns of body movement may provide useful cues towards differentiating different types of seizures. Features based on body part locations computed from software libraries such as OpenPose [1] will be used to extract statistics. These statistics encode movements at global and local level and will be classified using a deep neural network. The data used in the experiments is epilepsy data being collected at Monash Health. [1] OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Applications Applications closed on Friday, 4 October 2019.

Designing a timeline interface for lifelong archives for childhood out of home care
Code	Start date	Value	Contact
2195	25 November 2019 (negotiable)	$3000 ($500 x 6 weeks)	Dr Han Duy Phan, Dr Greg Rolan, A/Prof Joanne Evans Email: Joanne.Evans@monash.edu Research profile: Dr Han Duy Phan, Dr Greg Rolan, A/Prof Joanne Evans More information about project #2195
Prerequisites 3rd year Bachelor or Masters students in IT with strong programming background (web dev skill is a big plus) and the desire to learn.
Additional details if shortlisted, you will need to be available for an interview in mid November 2019.
Applications Applications closed on Friday, 4 October 2019.

Family Finder integration in lifelong living archives for childhood out of home care
Code	Start date	Value	Contact
2196	25 November 2019 (negotiable)	$3000 ($500 x 6 weeks)	Dr Han Duy Phan, Dr Greg Rolan, A/Prof Joanne Evans Email: joanne.evans@monash.edu Research profile: Dr Han Duy Phan, Dr Greg Rolan, A/Prof Joanne Evans More information about project #2196
Prerequisites 3rd year Bachelor or Masters students in IT with strong programming background (web dev skill is a big plus) and the desire to learn.
Additional details If shortlisted, you will need to be available for an interview in mid November 2019.
Applications Applications closed on Friday, 4 October 2019.

Authentication needs of lifelong living archives for childhood out of home care
Code	Start date	Value	Contact
2197	25 November 2019 (negotiable)	$3000 ($500 x 6 weeks)	Dr Han Duy Phan, Dr Greg Rolan, A/Prof Joanne Evans Email: Joanne.Evans@monash.edu Research profile: Dr Han Duy Phan, Dr Greg Rolan, A/Prof Joanne Evans More information about project #2197
Prerequisites 3rd year Bachelor or Masters students in IT or IS (having skills in security and language is a plus) and the desire to learn.
Additional details If shortlisted, you will need to be available for an interview in mid November 2019.
Applications Applications closed on Friday, 4 October 2019.

Web archiving and retrieval for the Breast Cancer Knowledge Online (BCKOnline) website
Code	Start date	Value	Contact
2198	25 November 2019 (negotiable)	$3200 ($400 x 8 weeks)	Prof. Frada.Burstein, FIT & Dr. Jue (Grace) Xie, IT Development Manager, Monash Centre for Health Research and Implementation - MCHRI, School of Public Health and Preventive Medicine Email: Frada.Burstein@monash.edu Research profile: Prof. Frada.Burstein, FIT & Dr. Jue (Grace) Xie, IT Development Manager, Monash Centre for Health Research and Implementation - MCHRI, School of Public Health and Preventive Medicine More information about project #2198
Prerequisites Completing year 2 undergraduate and above; Completed units of Fundamentals in Java & Python, System development and analysis with outstanding results; Prefer to have had IT professional practice.
Additional details You are asked to develop an approach to archive both the client and server sides of the BCKOnline website (http://www.bckonline.monash.edu.au/), together with its content management system, which were developed in Java. Key tasks include: Preserve the original context, containing both content and appearance, of the BCKOnline website in Cloud storage; Archive the usage data, i.e. historical search queries, type of search, in cloud storage; Preserve all associated data analytics and project data in cloud storage; Develop an approach to facilitate search and retrieve of archived data. If shortlisted, you will need to attend an interview in October/November. The BCKO project history: https://www.monash.edu/it/our-research/research-centres-and-labs/cosi/projects/completed-projects/bcko#tabs__837225-01
Applications Applications closed on Friday, 4 October 2019.

Self Organising Neural Network Architectures
Code	Start date	Value	Contact
2199	25 November 2019	$3000 ($300 x 10 weeks)	Levin Kuhlmann, Christoph Bergmeir, Gideon Kowadlo, David Rawlinson Email: Levin.Kuhlmann@monash.edu Research profile: Levin Kuhlmann, Christoph Bergmeir, Gideon Kowadlo, David Rawlinson More information about project #2199
Additional details This project aims to explore ways to train a single-layer recurrent artificial neural network so that an effective, layered, hierarchical structure emerges. This topic is not widely researched and hence offers the potential for significant research impact even from preliminary results or a Proof-Of-Concept algorithm. The project would be co-supervised by Project AGI, an Australian machine-learning startup. There is also an opportunity for collaboration with research groups in Japan via the Whole-Brain Architecture Initiative (WBAI) and Luria Neuroscience Institute.
Applications Applications closed on Friday, 4 October 2019.

Neural Text Segmentation
Code	Start date	Value	Contact
2200	25 November 2019 (negotiable)	$3000 ($500 x 6 weeks)	Lan Du Email: Lan.Du@monash.edu Research profile: Lan Du
Additional details A linear partition of texts into topic segments can reveal information about, eg., themes of segments and the overall thematic structure of the text, and can subsequently be useful for text analysis tasks, such as document summarization. This project will exploit the sequence-to-sequence learning techniques for text segmentation.
Applications Applications closed on Friday, 4 October 2019.

Woodside - Conflict resolution in pipe routing
Code	Start date	Value	Contact
2201	25 November 2019 (negotiable)	$5000 ($500 x 10 weeks)	Dr Gleb Belov, Dr Daniel Harabor Email: Gleb.Belov@monash.edu Research profile: Dr Gleb Belov, Dr Daniel Harabor
Prerequisites Strong programming skills in C++ required. Knowledge of constraint solving, MiniZinc beneficial.
Additional details Background: We have an exciting project with Woodside Energy that involves optimising the layout of chemical production plants. As part of the project, we need to find good or optimal routes for all the pipes connecting the different equipment in the plant. It is typical for pipe routes to have conflicts, i.e., where one or both of some two pipes have better routes when they are considered in isolation than when they are both present. This problem closely resembles Multi-Agent Path Finding (MAPF), however the 3rd dimension is space instead of time and there are several piping-specific constraints which are implemented in our router already. We plan to adapt MAPF methods to this problem. For a start we'd like to consider limited enumeration of priority orderings for the pipes. Industry Partner: Woodside Energy
Applications Applications closed on Friday, 4 October 2019.

Encrypted, Distributed, and Queryable Data Store
Code	Start date	Value	Contact
2209	13 July 2020	$1500 ($500 x 3 weeks)	Dr Xingliang Yuan Email: xingliang.yuan@monash.edu Research profile: Dr Xingliang Yuan
Prerequisites Knowledge in cryptography, system security, database, and distributed computing; Good programming skills.
Applications Applications closed on Friday, 22 May 2020.

Engagement of people with dementia in HCI research
Code	Start date	Value	Contact
2210	13 July 2020 (negotiable)	$1500 ($500 x 3 weeks)	Dr Patrick Olivier Email: patrick.olivier@monash.edu Research profile: Dr Patrick Olivier More information about project #2210
Applications Applications closed on Friday, 22 May 2020.

Mathematical and computational models of social polarisation
Code	Start date	Value	Contact
2211	13 July 2020	$1500 ($500 x 3 weeks)	Dr Julian García and Associate Professor Alan Dorin Email: Julian.Garcia@monash.edu Research profile: Dr Julian García and Associate Professor Alan Dorin More information about project #2211
Prerequisites Interest in game theory and social sciences. Very good Python skills, numerical methods, simulations and interested in modelling. FIT3139 desirable.
Additional details We will conduct interviews. Post may be vacant if there are no suitable applicants.
Applications Applications closed on Friday, 22 May 2020.

Automatic Radiology Reporting for COVID-19
Code	Start date	Value	Contact
2213	13 July 2020 (negotiable)	$1500 ($500 x 3 weeks)	Dr Xiaojun Chang Email: xiaojun.chang@monash.edu Research profile: Dr Xiaojun Chang
Prerequisites Information Technology Postgraduate student.
Applications Applications closed on Friday, 22 May 2020.

Towards Data-Efficient Vision-Language Navigation in Novel Environments
Code	Start date	Value	Contact
2214	13 July 2020 (negotiable)	$1500 ($500 x 3 weeks)	Dr Xiaojun Chang Email: xiaojun.chang@monash.edu Research profile: Dr Xiaojun Chang
Prerequisites Data Science or Information Technology postgraduate student.
Applications Applications closed on Friday, 22 May 2020.

Propagating Modulo information
Code	Start date	Value	Contact
2231	30 November 2020 (negotiable)	$4000 ($500 x 8 weeks)	Professor Peter Stuckey Email: Peter.Stuckey@monash.edu Research profile: Professor Peter Stuckey More information about project #2231
Prerequisites C++ programming experience, preferably FIT5216, FIT5220
Applications Applications closed on Friday, 24 July 2020.

Driver agents for centralised routing
Code	Start date	Value	Contact
2242	30 November 2020 (negotiable)	$5000 ($500 x 10 weeks)	Professor Mark Wallace Email: Mark.Wallace@monash.edu Phone: +61 (0)3 9903 4276 Research profile: Professor Mark Wallace More information about project #2242
Prerequisites The working code in the group is in C++, but this project need not integrate with it. Due to its parallel structure (being able to spawn lots of agents is a must), a functional language such as Haskell would be a great candidate.
Applications Applications closed on Friday, 24 July 2020.

Compute CPDs for public networks
Code	Start date	Value	Contact
2243	28 June 2021 (negotiable)	$2000 ($500 x 4 weeks)	Professor Mark Wallace Email: Mark.Wallace@monash.edu Phone: +61 (0)3 9903 4276 Research profile: Professor Mark Wallace More information about project #2243
Prerequisites The CPD code is in C++, knowledge about pathfinding algorithms is a plus.
Applications Applications closed on Friday, 21 May 2021.

A Graph-based Visualisation Software for Interactive Visualisation Design
Code	Start date	Value	Contact
2245	30 November 2020	$5000 ($500 x 10 weeks)	Dr Humphrey Obie Email: humphrey.obie@monash.edu Research profile: Dr Humphrey Obie
Prerequisites Third or fourth year computer science/software engineering students with software development experience
Additional details If shortlisted you will be required to attend an interview
Applications Applications closed on Friday, 2 October 2020.

Recurrent Neural Networks for Time Series Forecasting
Code	Start date	Value	Contact
2246	28 June 2021 (negotiable)	$2000 ($500 x 4 weeks)	Dr Christoph Bergmeir Email: Christoph.Bergmeir@monash.edu Research profile: Dr Christoph Bergmeir
Prerequisites Strong programming skills, interest in data analysis/visualisation, R/Python programming skills
Additional details Candidates that will want to continue the research as an Honours or Masters thesis will have an advantage. The student will work as part of a team in an ongoing research project.
Applications Applications closed on Friday, 21 May 2021.

User-Centred Optimisation of Emotional Responses to Software Systems
Code	Start date	Value	Contact
2247	30 November 2020 (negotiable)	$5000 ($500 x 10 weeks)	Dr Hourieh Khalajzadeh, Dr Andrew Simmons, Prof John Grundy Email: hourieh.khalajzadeh@monash.edu Research profile: Dr Hourieh Khalajzadeh, Dr Andrew Simmons, Prof John Grundy More information about project #2247
Prerequisites Modelling languages such as UML, good programming skills, basic statistical knowledge (or interest in learning).
Additional details If shortlisted, you will need to attend an interview late October/early November. Applicants might be asked for code or project samples.
Applications Applications closed on Friday, 2 October 2020.

Dark-pattern Web Detector
Code	Start date	Value	Contact
2248	30 November 2020 (negotiable)	$2200 ($200 x 11 weeks)	Dr Chunyang Chen Email: chunyang.chen@monash.edu Research profile: Dr Chunyang Chen More information about project #2248
Prerequisites Web development, preferably with Javascript programming experience. Data analysis and basic machine learning
Additional details Dark patterns are UI design choices that benefit an online service by coercing, steering, or deceiving users into making decisions, especially on shopping sites. They can mislead users, e.g., by causing financial loss, tricking users into giving up vast amounts of personal data.
Applications Applications closed on Friday, 2 October 2020.

COVID-19 Information Needs Analysis
Code	Start date	Value	Contact
2279	30 November 2020 (negotiable)	$2970 ($270 x 11 weeks)	Dr Chunyang Chen Email: chunyang.chen@monash.edu Research profile: Dr Chunyang Chen More information about project #2279
Prerequisites Great programming capability; Web development and data visualisation; Data analysis and machine learning/text mining.
Additional details We have developed an information dashboard: https://covid-19-au.com/. We hope to further: • improve the site with better visualization, accessibility, new features; • carry out data analysis of the visiting log and users' feedback; • develop a framework for rapid response for future crisis.
Applications Applications closed on Friday, 2 October 2020.

Visualising Formal Software Systems
Code	Start date	Value	Contact
2280	30 November 2020	$3000 ($300 x 10 weeks)	Dr Humphrey Obie Email: humphrey.obie@monash.edu Research profile: Dr Humphrey Obie
Prerequisites Good understanding of model-driven engineering. Java experience. Knowledge of discrete mathematics and logic.
Additional details If shortlisted you will be required to attend an interview.
Applications Applications closed on Friday, 2 October 2020.

Visualising Formal Software Systems
Code	Start date	Value	Contact
2281	30 November 2020	$3000 ($300 x 10 weeks)	Dr Humphrey Obie Email: humphrey.obie@monash.edu Research profile: Dr Humphrey Obie
Prerequisites Good understanding of model-driven engineering. Java experience. Knowledge of discrete mathematics and logic.
Additional details If shortlisted you will be required to attend an interview.
Applications Applications closed on Friday, 2 October 2020.

Detecting values-violating defects in source code (mobile apps)
Code	Start date	Value	Contact
2282	30 November 2020	$3000 ($300 x 10 weeks)	Dr Humphrey Obie Email: humphrey.obie@monash.edu Research profile: Dr Humphrey Obie
Prerequisites Software engineering and machine learning experience
Additional details If shortlisted you will be required to attend an interview.
Applications Applications closed on Friday, 2 October 2020.

IoT in remote places: long-range mesh networks for environmental monitoring
Code	Start date	Value	Contact
2283	30 November 2020 (negotiable)	$5000 ($500 x 10 weeks)	Professor Bernd Meyer Email: bernd.meyer@monash.edu Research profile: Professor Bernd Meyer More information about project #2283
Prerequisites You need to be competent with C and either familiar with Arduino (MCU) coding or willing to learn such low-level coding. Some easy tinkering with hardware will be required as we are working with Arduino devices. Have a look at https://tinyurl.com/y69j5oh9 for an impression of what this entails.
Additional details if shortlisted you will need to attend an interview.
Applications Applications closed on Friday, 2 October 2020.

Practical Privacy-Preserving Post-Quantum Cryptographic Protocols
Code	Start date	Value	Contact
2285	30 November 2020 (negotiable)	$2970 ($270 x 11 weeks)	Assoc. Professor Ron Steinfeld and Dr. Muhammed Esgin Email: ron.steinfeld@monash.edu Research profile: Assoc. Professor Ron Steinfeld and Dr. Muhammed Esgin More information about project #2285
Prerequisites The student should have good mathematical skills and familiarity with the basics of cryptography.
Additional details Please include a copy of your academic transcript with your application.
Applications Applications closed on Friday, 2 October 2020.

Conceptualisation of experience-centred design
Code	Start date	Value	Contact
2287	30 November 2020 (negotiable)	$5500 ($500 x 11 weeks)	Professor Patrick Olivier Email: patrick.olivier@monash.edu Research profile: Professor Patrick Olivier More information about project #2287
Prerequisites Good understanding of human-centred design methods
Applications Applications closed on Friday, 2 October 2020.

Enabling Intelligent Remote Care via WebRTC and Deep Learning
Code	Start date	Value	Contact
2290	30 November 2020 (negotiable)	$3000 ($300 x 10 weeks)	Dr. Li Li; Professor John Grundy; Dr. Xiao Chen Email: xiao.chen@monash.edu
Prerequisites Familiar with JavaScript(react/socket.io/node.js) or other front-end and back-end web development technologies. Experience with WebRTC or Natural Language Processing is a plus.
Applications Applications closed on Friday, 2 October 2020.

Oblivious Machine Learning Training and Inference
Code	Start date	Value	Contact
2291	30 November 2020	$3000 ($300 x 10 weeks)	Dr Xingliang Yuan Email: xingliang.yuan@monash.edu
Prerequisites Knowledge of cryptography, trusted computing, and machine learning algorithms Experience in C/C++
Applications Applications closed on Friday, 2 October 2020.

Encrypted Database
Code	Start date	Value	Contact
2292	30 November 2020	$1500 ($300 x 5 weeks)	Dr Xingliang Yuan Email: xingliang.yuan@monash.edu
Prerequisites (1) Good programming skills and (2) Familiarity with the basics of cryptography and distributed computing.
Applications Applications closed on Friday, 2 October 2020.

Ensuring Android App Accessibility
Code	Start date	Value	Contact
2293	30 November 2020 (negotiable)	$2640 ($240 x 11 weeks)	Dr Chunyang Chen Email: chunyang.chen@monash.edu Research profile: Dr Chunyang Chen More information about project #2293
Prerequisites 3rd/4th-year/Master students with Android App Development experience, and preferably with deep learning/accessibility background
Applications Applications closed on Friday, 2 October 2020.

Privacy/Security-preserving Deep Learning models
Code	Start date	Value	Contact
2294	30 November 2020 (negotiable)	$2640 ($240 x 11 weeks)	Dr Chunyang Chen Email: chunyang.chen@monash.edu Research profile: Dr Chunyang Chen More information about project #2294
Prerequisites 3rd/4th/Master students with experience in Deep Learning, Adversarial Attack, Android App Development
Applications Applications closed on Friday, 2 October 2020.

Paper and Code Traceability
Code	Start date	Value	Contact
2296	30 November 2020 (negotiable)	$3000 ($300 x 10 weeks)	Dr Hourieh Khalajzadeh, Dr Chunyang Chen Email: hourieh.khalajzadeh@monash.edu Research profile: Dr Hourieh Khalajzadeh, Dr Chunyang Chen
Prerequisites Solid programming skills preferably Python Data science expertise Excellent communication and writing skills Knowledge of qualitative analysis
Additional details If shortlisted, you will need to attend an interview late October/early November. Applicants might be asked for code or project samples.
Applications Applications closed on Friday, 2 October 2020.

Investigating the human values-sensitive implications of the answers in Stack Overflow
Code	Start date	Value	Contact
2299	30 November 2020 (negotiable)	$3000 ($300 x 10 weeks)	Dr Mojtaba Shahin, Dr Hourieh Khalajzadeh, Dr Humphrey Obie, and Dr Waqar Hussain Email: mojtaba.shahin@monash.edu Research profile: Dr Mojtaba Shahin, Dr Hourieh Khalajzadeh, Dr Humphrey Obie, and Dr Waqar Hussain More information about project #2299
Prerequisites Having solid programming skills, basic knowledge of machine learning, excellent communication and writing skills, basic knowledge of qualitative analysis.
Applications Applications closed on Friday, 2 October 2020.

Modelling human-centric aspects of software
Code	Start date	Value	Contact
2316	30 November 2020 (negotiable)	$3000 ($300 x 10 weeks)	Dr Hourieh Khalajzadeh, Dr Tanjila Kanij, Prof John Grundy Email: hourieh.khalajzadeh@monash.edu Research profile: Dr Hourieh Khalajzadeh, Dr Tanjila Kanij, Prof John Grundy
Prerequisites Modelling languages such as UML Solid programming skills
Additional details If shortlisted, you will need to attend an interview late October/early November. Applicants might be asked for code or project samples.
Applications Applications closed on Friday, 2 October 2020.

Human centric issues in requirement Engineering
Code	Start date	Value	Contact
2319	30 November 2020 (negotiable)	$3000 ($300 x 10 weeks)	Dr Hourieh Khalajzadeh, Dr Chetan Arora, Dr Ingo Mueller, Dr Tanjila Kanij Email: hourieh.khalajzadeh@monash.edu Research profile: Dr Hourieh Khalajzadeh, Dr Chetan Arora, Dr Ingo Mueller, Dr Tanjila Kanij More information about project #2319
Prerequisites Requirement engineering, Strong data science expertise, Solid programming skills
Additional details If shortlisted, you will need to attend an interview late October/early November. Applicants might be asked for code or project samples.
Applications Applications closed on Friday, 2 October 2020.

Gestural Recognition for Music Performance
Code	Start date	Value	Contact
2320	30 November 2020 (negotiable)	$4000 ($500 x 8 weeks)	Dr. Maria Teresa Llano Email: teresa.llano@monash.edu Research profile: Dr. Maria Teresa Llano More information about project #2320
Prerequisites Third-year or Honours computer science student with programming skills as well as background in Machine Learning, any musical background or skills would be useful, but are not mandatory.
Additional details If shortlisted you are required to attend an interview sometime in October (a suitable date will be arranged with shortlisted candidates).
Applications Applications closed on Friday, 2 October 2020.

Enabling the drawing robots to see
Code	Start date	Value	Contact
2321	30 November 2020 (negotiable)	$4000 ($500 x 8 weeks)	Dr. Maria Teresa Llano Email: teresa.llano@monash.edu Research profile: Dr. Maria Teresa Llano More information about project #2321
Prerequisites Third-year or honours computer science student with programming skills as well as background in Machine Learning. An interest in creativity and drawing would be helpful.
Additional details If shortlisted you are required to attend an interview sometime in October (a suitable date will be arranged with shortlisted candidates).
Applications Applications closed on Friday, 2 October 2020.

Design and Implementation of a Human-centric Q&A Forum
Code	Start date	Value	Contact
2322	30 November 2020 (negotiable)	$4000 ($400 x 10 weeks)	Dr Ingo Mueller, Mark Cooray (LiLabs) Email: Dr Ingo Mueller, Mark Cooray (LiLabs) Research profile: Dr Ingo Mueller, Mark Cooray (LiLabs) More information about project #2322
Prerequisites See project outline at https://docs.google.com/document/d/1kh4rJ_2umMdCQvpLUmc6WvvSluf387YOBwAtap-co1A/edit?usp=sharing
Additional details Short interviews will be arranged with shortlisted candidates in early October.
Applications Applications closed on Friday, 2 October 2020.

Historical Online Map in OSM
Code	Start date	Value	Contact
2333	30 November 2020	$3000 ($500 x 6 weeks)	Assoc. Prof. David Taniar Email: david.taniar@monash.edu Research profile: Assoc. Prof. David Taniar
Prerequisites Preferably the student is familiar with OSM, kml, Python, web programming, and has access to past editions of Melway.
Additional details This project will develop a historical online map based on OSM (OpenStreetMap), by incorporating past Melway (1966-1999). This will include retrieving and filtering kml files, comparing with past Melway, and building an interface where users can navigate the map through the years.
Applications Applications closed on Friday, 2 October 2020.

Non-Professional Field Transcription for Community Video
Code	Start date	Value	Contact
2334	30 November 2020 (negotiable)	$4000 ($500 x 8 weeks)	Dr Tom Bartindale Email: tom.bartindale@monash.edu
Prerequisites Third year Computer Science students with client-side web development experience and good communication skills.
Additional details If shortlisted you will be asked to interview via Zoom.
Applications Applications closed on Friday, 2 October 2020.

Exploring the use of Alexa to support speech therapy in people with Parkinson's
Code	Start date	Value	Contact
2335	30 November 2020 (negotiable)	$4000 ($500 x 8 weeks)	Dr. Roisin McNaney Email: roisin.mcnaney@monash.edu Research profile: Dr. Roisin McNaney
Prerequisites Third year computer science students with programming experience.
Applications Applications closed on Friday, 2 October 2020.

Woodside - Conflict resolution in pipe routing
Code	Start date	Value	Contact
2362	28 June 2021 (negotiable)	$2000 ($500 x 4 weeks)	Research Fellow Gleb Belov Email: gleb.belov@monash.edu
Prerequisites Mathematical thinking (at least linear algebra). Strong programming skills in C++ required. Combinatorial optimisation knowledge advantageous.
Additional details We have an exciting project with Woodside Energy that involves optimising the layout of chemical production plants. As part of the project, we need to find good or optimal routes for all the pipes connecting the different equipment in the plant. The task is to maintain and improve the algorithms.
Applications Applications closed on Friday, 21 May 2021.

Runtime estimation in Constraint Programming solvers and Minizinc.
Code	Start date	Value	Contact
2363	30 November 2020 (negotiable)	$4000 ($500 x 8 weeks)	Dr Pierre Le Bodic Email: pierre.lebodic@monash.edu Research profile: Dr Pierre Le Bodic
Prerequisites Strong programming skills, experience with optimisation is a plus.
Additional details Constraint Programming is a technology used to solve NP-hard problems. Because these problems are hard, the run time of the solvers varies by orders of magnitude from one input to the next. The goal of this project is to implement methods to estimate the run-time of the solver.
Applications Applications closed on Friday, 2 October 2020.

Ethically Aligned AI Development Framework
Code	Start date	Value	Contact
2384	30 November 2020 (negotiable)	$3000 ($300 x 10 weeks)	Dr Waqar Hussain Email: waqar.hussain@monash.edu Research profile: Dr Waqar Hussain More information about project #2384
Prerequisites Knowledge of AI / Machine Learning Excellent communication and writing skills Good command of qualitative analysis
Additional details If shortlisted you are required to attend an interview
Applications Applications closed on Friday, 2 October 2020.

Detecting Triggers for mental health in COVID-19 App Reviews
Code	Start date	Value	Contact
2385	30 November 2020 (negotiable)	$3000 ($300 x 10 weeks)	Dr Waqar Hussain Email: waqar.hussain@monash.edu Research profile: Dr Waqar Hussain More information about project #2385
Prerequisites Solid programming skills Basic knowledge of Machine Learning Excellent communication and writing skills Basic knowledge of qualitative analysis
Additional details If shortlisted you are required to attend an interview
Applications Applications closed on Friday, 2 October 2020.

Modelling Hand Gesture Fatigue from Human Motion Data - Role 1: EMG data collection
Code	Start date	Value	Contact
2386	30 November 2020 (negotiable)	$5000 ($500 x 10 weeks)	Barrett Ens (Floyd Mueller Co-Supervisor) Email: barrett.ens@monash.edu Research profile: Barrett Ens (Floyd Mueller Co-Supervisor) More information about project #2386
Prerequisites This project requires enthusiasm, strong programming skills, and an ability to quickly learn new technologies. Interpersonal skills and ability to work in a team are essential. Experience with Unity and C# are an asset.
Additional details Please see PDF linked under 'Project Website' for project details. This posting is for Role 1: EMG system data collection. Shortlisted students will be contacted for an interview.
Applications Applications closed on Friday, 2 October 2020.

Modelling Hand Gesture Fatigue from Human Motion Data - Role 2: Vicon data collection
Code	Start date	Value	Contact
2387	30 November 2020 (negotiable)	$5000 ($500 x 10 weeks)	Barrett Ens (Floyd Mueller Co-Supervisor) Email: barrett.ens@monash.edu Research profile: Barrett Ens (Floyd Mueller Co-Supervisor) More information about project #2387
Prerequisites This project requires enthusiasm, strong programming skills, and an ability to quickly learn new technologies. Interpersonal skills and ability to work in a team are essential. Experience with Unity and C# are an asset.
Additional details Please see PDF linked under 'Project Website' for project details. This posting is for Role 2: Vicon system data collection. Shortlisted students will be contacted for an interview.
Applications Applications closed on Friday, 2 October 2020.

Scheduling algorithms for Smart Charing of Adaptive Electric Vehicles (EVs)
Code	Start date	Value	Contact
2388	4 December 2020 (negotiable)	$3000 ($300 x 10 weeks)	Dr. Adel Nadjaran Toosi Email: adel.n.toosi@monash.edu Phone: +6199059635 Research profile: Dr. Adel Nadjaran Toosi More information about project #2388
Prerequisites Second year Master Students in IT and Computer Science. Python and Java Programming skills. Background in Cloud Computing.
Additional details If shortlisted you are required to attend an interview between 1 - 30 Nov. This is project can be extended to a Minor Thesis project for Master Students.
Applications Applications closed on Friday, 2 October 2020.

Sliding windows - automatic decomposition of large optimisation problems
Code	Start date	Value	Contact
2389	1 December 2020 (negotiable)	$4000 ($500 x 8 weeks)	Assoc Prof Guido Tack Email: guido.tack@monash.edu Research profile: Assoc Prof Guido Tack More information about project #2389
Prerequisites Strong programming skills (preferably Python and/or C++) required; if you have used optimisation tools before that's a plus.
Additional details You will develop new algorithms for automatically decomposing large, difficult optimisation problems in the context of the MiniZinc optimisation platform.
Applications Applications closed on Friday, 2 October 2020.

Tangible Devices for interacting with immersive data visualisations
Code	Start date	Value	Contact
2390	1 December 2020 (negotiable)	$5500 ($500 x 11 weeks)	Tim Dwyer Email: tim.dwyer@monash.edu Research profile: Tim Dwyer More information about project #2390
Prerequisites Strong programming skills, particularly in creating interactive, graphical systems, ideally using Unity3D and C#.
Applications Applications closed on Friday, 2 October 2020.

Detecting Legends in Graphics: A Case study with Public Space Floor Plans
Code	Start date	Value	Contact
2391	30 November 2020	$3000 ($300 x 10 weeks)	Dr. Anuradha Madugalla Email: anu.madugalla@monash.edu Research profile: Dr. Anuradha Madugalla More information about project #2391
Prerequisites Excellent image processing knowledge Solid programming skills: Python or C++ Excellent communication and writing skills
Additional details If shortlisted you are required to attend an interview in October. Applicants might be asked for code or project samples.
Applications Applications closed on Friday, 2 October 2020.

Robust Prioritisation for Multi-agent Pathfinding
Code	Start date	Value	Contact
2392	1 December 2020 (negotiable)	$5000 ($500 x 10 weeks)	Dr Graeme Gange and Dr Daniel Harabor Email: graeme.gange@monash.edu Research profile: Dr Graeme Gange and Dr Daniel Harabor
Prerequisites Strong programming skills (preferably C++), ideally some knowledge of discrete optimisation and combinatorial search.
Additional details If shortlisted you are required to attend an interview between 19 - 23 October.
Applications Applications closed on Friday, 2 October 2020.

Robust Prioritisation for Multi-agent Pathfinding
Code	Start date	Value	Contact
2393	1 December 2020 (negotiable)	$5000 ($500 x 10 weeks)	Dr Graeme Gange and Dr Daniel Harabor Email: graeme.gange@monash.edu Research profile: Dr Graeme Gange and Dr Daniel Harabor
Prerequisites Strong programming skills (preferably C++), ideally some knowledge of discrete optimisation and combinatorial search.
Additional details If shortlisted you are required to attend an interview between 19 - 23 October.
Applications Applications closed on Friday, 2 October 2020.

Improving parallelism in nogood-learning solvers
Code	Start date	Value	Contact
2394	1 December 2020 (negotiable)	$5000 ($500 x 10 weeks)	Dr Graeme Gange and Prof Peter Stuckey Email: graeme.gange@monash.edu Research profile: Dr Graeme Gange and Prof Peter Stuckey
Prerequisites Strong programming skills (preferably C++), ideally some knowledge of discrete optimisation.
Additional details If shortlisted you are required to attend an interview between 19 - 23 October.
Applications Applications closed on Friday, 2 October 2020.

Attacking and Defending Graph Neural Networks
Code	Start date	Value	Contact
2395	30 November 2020 (negotiable)	$2000 ($200 x 10 weeks)	Dr Shirui Pan Email: shirui.pan@monash.edu Research profile: Dr Shirui Pan More information about project #2395
Prerequisites Python; pytorch or tensorflow; deep learning
Applications Applications closed on Friday, 2 October 2020.

Attacking and Defending Graph Neural Networks
Code	Start date	Value	Contact
2396	30 November 2020 (negotiable)	$2000 ($200 x 10 weeks)	Dr Shirui Pan Email: shirui.pan@monash.edu Research profile: Dr Shirui Pan More information about project #2396
Prerequisites Python; pytorch or tensorflow; deep learning
Applications Applications closed on Friday, 2 October 2020.

Accurate and Fast Graph Representation Learning
Code	Start date	Value	Contact
2398	30 November 2020 (negotiable)	$2000 ($200 x 10 weeks)	Dr Shirui Pan Email: shirui.pan@monash.edu Research profile: Dr Shirui Pan More information about project #2398
Prerequisites Python; deep learning; pytorch or tensorflow
Applications Applications closed on Friday, 2 October 2020.

Using Smart Meter Information to Map Low Voltage Energy Networks
Code	Start date	Value	Contact
2399	1 December 2020 (negotiable)	$4400 ($400 x 11 weeks)	Dr Sarah Goodwin Email: sarah.goodwin@monash.edu Research profile: Dr Sarah Goodwin More information about project #2399
Prerequisites Basic knowledge of geographical, network and temporal data, data wrangling, visualisation interface design, basic programming, interest in the energy sector
Applications Applications closed on Friday, 2 October 2020.

Meta Decision Aid Prototype
Code	Start date	Value	Contact
2400	30 November 2020 (negotiable)	$4000 ($500 x 8 weeks)	Dr Caddie Gao and Emeritus Prof David Arnott Email: caddie.gao@monash.edu Phone: 99032411 Research profile: Dr Caddie Gao and Emeritus Prof David Arnott
Prerequisites IT or Computer Science degree students with good programming skills, preferably with iOS and/or android app development experience.
Additional details We would like to develop an app of some kind that would help both users and analysts to identify the kinds of support that may be effective for a particular decision situation. If shortlisted you are required to attend an interview between 19 - 23 October, 2020.
Applications Applications closed on Friday, 2 October 2020.

Semantic Enrichment of BIM models (Building Information Modelling)
Code	Start date	Value	Contact
2401	1 December 2020 (negotiable)	$4400 ($400 x 11 weeks)	Dr Pari Delir Haghighi Email: Pari.Delir.Haghighi@monash.edu Research profile: Dr Pari Delir Haghighi More information about project #2401
Prerequisites Strong programming skills, knowledge of semantic reasoning, also data analysis skills preferred.
Applications Applications closed on Friday, 2 October 2020.

BodyVis: Using our bodies to interact with data
Code	Start date	Value	Contact
2402	1 December 2020 (negotiable)	$5500 ($500 x 11 weeks)	Prof. Tim Dwyer Email: tim.dwyer@monash.edu Research profile: Prof. Tim Dwyer More information about project #2402
Prerequisites Strong programming skills, particularly in creating interactive, graphical systems, ideally using Unity3D and C#.
Applications Applications closed on Friday, 2 October 2020.

A review of user involvement in the existing usability capability/maturity models (UCMMs)
Code	Start date	Value	Contact
2403	30 November 2020 (negotiable)	$3000 ($300 x 10 weeks)	Tanjila Kanij Email: tanjila.kanij@monash.edu Research profile: Tanjila Kanij More information about project #2403
Prerequisites Good analytical skills.
Applications Applications closed on Friday, 2 October 2020.

Interactive Haskell Type Inference Exploration
Code	Start date	Value	Contact
2404	1 December 2020 (negotiable)	$5500 ($500 x 11 weeks)	Professor Tim Dwyer Email: tim.dwyer@monash.edu Research profile: Professor Tim Dwyer More information about project #2404
Prerequisites Haskell programming User interface development and some flair for design Knowledge of visualisation
Applications Applications closed on Friday, 2 October 2020.

Data visualisation on low-cost computing devices
Code	Start date	Value	Contact
2405	1 December 2020 (negotiable)	$4400 ($400 x 11 weeks)	Dr Maxime Cordeil Email: Max.Cordeil@monash.edu Research profile: Dr Maxime Cordeil More information about project #2405
Prerequisites Previous experience with electronics such as Arduino/Raspberry Pi and basic electronics would be required. Programming in Java/C style will be required to handle user input and display data on the screen.
Applications Applications closed on Friday, 2 October 2020.

Solver-independent Propagators for Learning Solvers
Code	Start date	Value	Contact
2406	1 December 2020 (negotiable)	$5000 ($500 x 10 weeks)	Dr Graeme Gange and Prof Peter Stuckey Email: graeme.gange@monash.edu Research profile: Dr Graeme Gange and Prof Peter Stuckey
Prerequisites Strong programming skills (preferably C++), ideally some knowledge of discrete optimisation.
Additional details If shortlisted you are required to attend an interview between 19-23 October.
Applications Applications closed on Friday, 2 October 2020.

Tangible Devices for interacting with immersive data visualisations
Code	Start date	Value	Contact
2407	1 December 2020 (negotiable)	$4400 ($400 x 11 weeks)	Professor Tim Dwyer Email: tim.dwyer@monash.edu Research profile: Professor Tim Dwyer More information about project #2407
Prerequisites Strong programming skills, particularly in creating interactive, graphical systems, ideally using Unity3D and C#.
Applications Applications closed on Friday, 2 October 2020.

AR Hand Gesture Capture for Interactive Data Analytics
Code	Start date	Value	Contact
2408	30 November 2020 (negotiable)	$4400 ($400 x 11 weeks)	Barrett Ens and Maxime Cordeil Email: barrett.ens@monash.edu Research profile: Barrett Ens and Maxime Cordeil More information about project #2408
Prerequisites Skills in C# or another object-oriented programming language are required for the gesture recognition component, along with Python scripting for the analysis component. Experience with Unity or Python would be ideal.
Additional details Please see PDF document linked under 'Project Description' for project details. Short-listed candidates will be contacted for an interview.
Applications Applications closed on Friday, 2 October 2020.

Driver agents for a centralised routing engine
Code	Start date	Value	Contact
2409	30 November 2020 (negotiable)	$5000 ($500 x 10 weeks)	Professor Mark Wallace Email: Mark.Wallace@monash.edu Research profile: Professor Mark Wallace More information about project #2409
Prerequisites The working code in the group is in C++, but this project need not integrate with it. Due to its parallel structure (being able to spawn lots of agents is a must), a functional language such as Haskell would be a great candidate.
Applications Applications closed on Friday, 2 October 2020.

Inclusive Gallery Experiences: Accessible Bendigo Gallery for Blind & Low Vision Visitors
Code	Start date	Value	Contact
2411	30 November 2020 (negotiable)	$5000 ($500 x 10 weeks)	Dr Matthew Butler Email: matthew.butler@monash.edu More information about project #2411
Prerequisites The applicant should be familiar with 'maker' technologies such as 3D printing & basic 3D modelling. Experience in simple mobile app development will also be valued. They should have an interest in accessibility and be willing to work with community partners to develop & evaluate materials.
Applications Applications closed on Friday, 2 October 2020.

Accessible Art and Science: Inclusive Experiences in Science Gallery Melbourne
Code	Start date	Value	Contact
2412	30 November 2020 (negotiable)	$5000 ($500 x 10 weeks)	Dr Matthew Butler Email: matthew.butler@monash.edu
Prerequisites The applicant should be familiar with 'maker' technologies such as 3D printing & basic 3D modelling. Experience in simple mobile app development will also be valued. They should have an interest in accessibility and be willing to work with community partners to develop & evaluate materials.
Applications Applications closed on Friday, 2 October 2020.

Connectivity analysis for pathfinding in computer games
Code	Start date	Value	Contact
2414	30 November 2020 (negotiable)	$5000 ($500 x 10 weeks)	Dr Daniel Harabor Email: daniel.harabor@monash.edu Research profile: Dr Daniel Harabor More information about project #2414
Prerequisites Knowledge of fundamental search algorithms (Dijkstra, A*), confidence with discrete mathematics, familiarity with C or C++
Additional details In computer games we navigate agents from A to B. Leading algorithms in this area can find a path fast when one exists. But what if a path no longer exists? Constructing a proof by search is slow even for leading methods. In this project we seek to improve path planner performance in such cases.
Applications Applications closed on Friday, 2 October 2020.

Telling the story of Australian Energy: the Past, Present and Future
Code	Start date	Value	Contact
2430	1 December 2020 (negotiable)	$4400 ($400 x 11 weeks)	Dr Sarah Goodwin Email: sarah.goodwin@monash.edu More information about project #2430
Prerequisites Basic knowledge of geographical, network and temporal data, data wrangling, visualisation interface design, basic programming with html, javascript and Mapbox JS GL, interest in the energy sector.
Applications Applications closed on Friday, 2 October 2020.

Analysis of complex networks
Code	Start date	Value	Contact
2445	28 June 2021 (negotiable)	$2000 ($500 x 4 weeks)	Professor David G. Green Email: david.green@monash.edu Phone: 990553912 Research profile: Professor David G. Green
Prerequisites Third-year computer science students, preferably with programming experience. Practical experience in research projects and knowledge of complex networks would help.
Additional details Students should provide contact details and dates available.
Applications Applications closed on Friday, 21 May 2021.

Integrating testing with automated program repair
Code	Start date	Value	Contact
2446	28 June 2021 (negotiable)	$2000 ($500 x 4 weeks)	Dr Aldeida Aleti Email: aldeida.aleti@monash.edu Research profile: Dr Aldeida Aleti More information about project #2446
Prerequisites Any year software engineering student with exceptional Java programming experience.
Applications Applications closed on Friday, 21 May 2021.

Automated GUI Adaptation of Android Apps across Phone and TV
Code	Start date	Value	Contact
2447	28 June 2021 (negotiable)	$1600 ($400 x 4 weeks)	Dr Chunyang Chen Email: chunyang.chen@monash.edu Research profile: Dr Chunyang Chen More information about project #2447
Prerequisites Android app development, especially GUI, TV apps.
Applications Applications closed on Friday, 21 May 2021.

3D modelling & texturing
Code	Start date	Value	Contact
2448	28 June 2021 (negotiable)	$2000 ($500 x 4 weeks)	Dr Tom Chandler Email: Tom.Chandler@monash.edu Phone: 99031314 Research profile: Dr Tom Chandler More information about project #2448
Prerequisites FIT1033, FIT3169 (FIT2087 optional).
Additional details This winter project involves modelling a range of architectural, art historical and ecological 3D models for the Visualising Angkor project.
Applications Applications closed on Friday, 21 May 2021.

Monitoring the Mind: AI for Human Mental Activity Interpretation from Brain EEG
Code	Start date	Value	Contact
2454	28 June 2021 (negotiable)	$1600 ($400 x 4 weeks)	Dr Mahsa Salehi Email: mahsa.salehi@monash.edu Research profile: Dr Mahsa Salehi More information about project #2454
Additional details If shortlisted you are required to attend an interview between 7 - 10 June.
Applications Applications closed on Friday, 21 May 2021.

Visualisation of TLA+ specifications
Code	Start date	Value	Contact
2470	28 June 2021 (negotiable)	$1000 ($250 x 4 weeks)	Dr Humphrey Obie Email: humphrey.obie@monash.edu
Prerequisites Discrete mathematics, Information visualisation experience, Programming experience
Additional details If shortlisted you may be required to attend an interview.
Applications Applications closed on Friday, 21 May 2021.

Human values in mobile apps
Code	Start date	Value	Contact
2471	28 June 2021 (negotiable)	$1000 ($250 x 4 weeks)	Dr Humphrey Obie Email: humphrey.obie@monash.edu
Prerequisites Programming experience, machine learning
Additional details If shortlisted you may be required to attend an interview.
Applications Applications closed on Friday, 21 May 2021.

Creating software engineers' persona
Code	Start date	Value	Contact
2472	28 June 2021 (negotiable)	$1000 ($250 x 4 weeks)	Dr Tanjila Kanij Email: tanjila.kanij@monash.edu Research profile: Dr Tanjila Kanij
Prerequisites Excellent communication and writing skills, Basic knowledge of qualitative analysis
Additional details If shortlisted you are required to attend an interview between 2 - 9 June. Once selected you need to attend one to three meetings with the supervisors weekly.
Applications Applications closed on Friday, 21 May 2021.

A tool prototype for assessing gender bias in job advertisements
Code	Start date	Value	Contact
2473	28 June 2021 (negotiable)	$1000 ($250 x 4 weeks)	Dr Tanjila Kanij Email: tanjila.kanij@monash.edu Research profile: Dr Tanjila Kanij
Prerequisites Knowledge of NLP
Additional details If shortlisted you are required to attend an interview. Once selected you need to meet the supervisors at least once a week.
Applications Applications closed on Friday, 21 May 2021.

Investigating the human values-sensitive implications of the answers in Stack Overflow
Code	Start date	Value	Contact
2478	28 June 2021	$1000 ($250 x 4 weeks)	Dr. Mojtaba Shahin Email: mojtaba.shahin@monash.edu Research profile: Dr. Mojtaba Shahin More information about project #2478
Prerequisites Excellent communication and writing skills, Basic knowledge of qualitative analysis
Applications Applications closed on Friday, 21 May 2021.

Building and integrating a peer-support virtual agent with social media channels
Code	Start date	Value	Contact
2479	28 June 2021 (negotiable)	$2000 ($500 x 4 weeks)	Dr Jue (Grace) Xie Email: jue.xie@monash.edu Research profile: Dr Jue (Grace) Xie
Prerequisites Third-year and above computer science or software engineering students, preferably with intimate knowledge with Node.js and experience of using Google Dialogflow or any other bot building frameworks.
Additional details This will be a coding intensive task contributing to a large research project. It will also involve conversational design in a given context. The developed virtual agent will work in mainstream social media channels such as Facebook Messenger and WhatsApp, to facilitate group interactions.
Applications Applications closed on Friday, 21 May 2021.

Bedside detection of early kidney disease using vibrational spectroscopy
Code	Start date	Value	Contact
2480	28 June 2021	$2000 ($500 x 4 weeks)	Adel N. Toosi Email: adel.n.toosi@monash.edu Phone: 0435213759 / 99059635 Research profile: Adel N. Toosi
Prerequisites Cloud computing knowledge (Preferably AWS), Good Python programming skills, Familiar with linux shell, familiarity with Raspberry Pis are desirable.
Additional details Please send the supervisor an email with your CV. We will arrange a zoom interview.
Applications Applications closed on Friday, 21 May 2021.

Exploring Urban Diversity using Interactive multidimensional data visualisation
Code	Start date	Value	Contact
2481	28 June 2021 (negotiable)	$1600 ($400 x 4 weeks)	Dr Sarah Goodwin and Dr Xavier Ho and Assoc Prof Alan Gamlen Email: xavier.ho@monash.edu Research profile: Dr Sarah Goodwin and Dr Xavier Ho and Assoc Prof Alan Gamlen
Prerequisites Third or final year UG student, or a Masters student with programming experience. Experienced in handling data sets and have an interest in learning about user studies. Preference will be given on potential and having a growth mindset. See project website for more information.
Additional details If shortlisted you are required to attend an interview between 7 - 11 June. Whilst the majority of the work can be done from a distance, the student would benefit from being local and be flexible to be working between Clayton and Caulfield campus.
Applications Applications closed on Friday, 21 May 2021.

A visual exploration of an AI-based music system
Code	Start date	Value	Contact
2495	28 June 2021	$1600 ($400 x 4 weeks)	Dr Maria Teresa Llano Email: teresa.llano@monash.edu Research profile: Dr Maria Teresa Llano More information about project #2495
Prerequisites Third-year or Honours computer science student with strong programming skills as well as background in Markov Models. Musical background or skills would be useful, but not mandatory.
Additional details If shortlisted you are required to attend an interview sometime in June (a suitable date will be arranged with shortlisted candidates).
Applications Applications closed on Friday, 21 May 2021.

A visual exploration of an AI-based music system
Code	Start date	Value	Contact
2497	28 June 2021	$1600 ($400 x 4 weeks)	Dr Maria Teresa Llano Email: teresa.llano@monash.edu Research profile: Dr Maria Teresa Llano More information about project #2497
Prerequisites Third-year or Honours computer science student with strong programming skills as well as background in Markov Models. Musical background or skills would be useful, but not mandatory.
Additional details If shortlisted you are required to attend an interview sometime in June (a suitable date will be arranged with shortlisted candidates).
Applications Applications closed on Friday, 21 May 2021.

Robotic Haptic Feedback in Virtual Environments
Code	Start date	Value	Contact
2498	28 June 2021 (negotiable)	$1600 ($400 x 4 weeks)	Dr Barrett Ens Email: barrett.ens@monash.edu Research profile: Dr Barrett Ens More information about project #2498
Prerequisites Ideal for students with experience in Mechatronics and/or Viirtual Reality. Unity, C# experience is an asset, as well as robot programming experience.
Applications Applications closed on Friday, 21 May 2021.

Commonsense Reasoning
Code	Start date	Value	Contact
2499	28 June 2021 (negotiable)	$1200 ($300 x 4 weeks)	Dr Lizhen Qu Email: lizhen.qu@monash.edu Phone: 0426789876 Research profile: Dr Lizhen Qu More information about project #2499
Prerequisites Students should have excellent grades in machine learning and relevant math courses. Strong programming skills are essential. Preference will be given to students who have previous practical research experiences on deep learning, natural language processing, or reasoning.
Additional details If shortlisted you are expected to attend an interview between 7 - 10 June.
Applications Applications closed on Friday, 21 May 2021.

Using ambient visual technology to draw attention during highly demanding tasks
Code	Start date	Value	Contact
2501	28 June 2021 (negotiable)	$1600 ($400 x 4 weeks)	Dr Sarah Goodwin, Dr Michael Wybrow Email: sarah.goodwin@monash.edu Research profile: Dr Sarah Goodwin, Dr Michael Wybrow More information about project #2501
Prerequisites Competent programmer. Interest in sensors, IOT and interface design. Basic knowledge of quantitative research and user studies.
Additional details If shortlisted you are required to attend an interview between 7 -11 June. The student would benefit from being locally based and being flexible to work between Clayton and Caulfield campuses.
Applications Applications closed on Friday, 21 May 2021.

Developing an intuitive triggering system for a gestural musical instrument
Code	Start date	Value	Contact
2505	28 June 2021 (negotiable)	$2000 ($500 x 4 weeks)	Dr Alon Ilsar Email: alon.ilsar@monash.edu Phone: 0410491193 Research profile: Dr Alon Ilsar More information about project #2505
Prerequisites This project will involve analysis of IMU orientation, acceleration, and touch sensor data to understand and characterise movement based gestures performed in real-time. Special skills required include statistical modelling, signal processing and potentially machine learning, ideally in Swift.
Additional details If shortlisted you are required to attend an interview between 7 - 10 June.
Applications Applications closed on Friday, 21 May 2021.

Exploring the Design Process of Visualisation Design
Code	Start date	Value	Contact
2506	28 June 2021 (negotiable)	$1600 ($400 x 4 weeks)	Dr Sarah Goodwin, Dr Xavier Ho Email: sarah.goodwin@monash.edu Research profile: Dr Sarah Goodwin, Dr Xavier Ho More information about project #2506
Prerequisites Final year bachelors or masters student, ideally having done one of the data visualisation or UX design units. A keen interest in data visualisation, design and user-centred design practices.  Basic knowledge of qualitative research methods, interview analysis and thematic analysis.
Additional details If shortlisted you are required to attend an interview between 7 -11 June. Whilst the majority of the work can be done from a distance, the student would highly benefit from being locally based and flexible to work between Clayton and Caulfield campuses.
Applications Applications closed on Friday, 21 May 2021.

Improving Visualisations for Visual Eye Tracking Data Analysis
Code	Start date	Value	Contact
2507	28 June 2021 (negotiable)	$1600 ($400 x 4 weeks)	Dr Sarah Goodwin, Kun-Ting Chen, Dr Arnaud Prouzeau (Indria, France) Email: sarah.goodwin@monash.edu Research profile: Dr Sarah Goodwin, Kun-Ting Chen, Dr Arnaud Prouzeau (Indria, France) More information about project #2507
Prerequisites Competent programmer, especially with Javascript and other web technologies. Interest in data exploration and data visualisation and visual analytics. Basic knowledge of quantitative and qualitative research methods.
Additional details If shortlisted you are required to attend an interview between 7 -11 June. Whilst the majority of the work can be done from a distance, the student would highly benefit from being locally based and be flexible to working from Clayton campus 2-3 days a week.
Applications Applications closed on Friday, 21 May 2021.

Choose your own FIT engagement/outreach project
Code	Start date	Value	Contact
2512	28 June 2021 (negotiable)	$2000 ($500 x 4 weeks)	Dr Pierre Le Bodic Email: pierre.lebodic@monash.edu
Prerequisites You need to demonstrate that you are capable of implementing the project you propose.
Additional details The goal is for you to implement an IT tool of your own design for current/prospective students. Can you think of something to connect with other FIT students? A social media platform, a game, a wiki? Or something completely different? Apply now and send a short proposal of what you have in mind!
Applications Applications closed on Friday, 21 May 2021.

AI Driven Automated Pipe Coating Removal for Recycling Decommissioned Materials
Code	Start date	Value	Contact
3031	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Chunyang Chen Email: chunyang.chen@monash.edu More information about project #3031
Prerequisites Python, Computer Vision, Image Processing, Robotic arms
Additional details Image Data Interpretation for Process Optimisation: Another important task is to ensure that sufficient information can be derived from images taken to tailor important parameters of the separation process such as the machine intake size, blade entrance angle and the cutting depth. The key aspect of this task is to generate a database that enables a machine-learning process, ensuring that the machine will be capable of identifying not only the composition and configuration of different pipes but also be able to reliably determine borders between soft material and precious metal. This is especially critical for umbilicals as the configurations can often vary and become quite complicated.
Applications Applications closed on Friday, 26 August 2022.

Toolkit for Usability & Accessibility Testing of Android App
Code	Start date	Value	Contact
3037	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Chunyang Chen Email: chunyang.chen@monash.edu Research profile: Chunyang Chen More information about project #3037
Prerequisites Android development. Basic understanding of deep learning, but not necessary. Python and Web development.
Additional details Many apps may have issues such as font size, text overlap that negatively influence the usability & accessibility of the software. You will develop a toolkit to automatically test the usability and accessibility of the target Android apps by implementing algorithms from my research group.
Applications Applications closed on Friday, 26 August 2022.

On-device AI for mobile apps
Code	Start date	Value	Contact
3038	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Chunyang Chen Email: chunyang.chen@monash.edu Research profile: Chunyang Chen More information about project #3038
Prerequisites Proficiency Android App development with Java, Good Programming Skills, Basic understanding of deep learning, but not necessary
Additional details AI is increasingly applied for better user experiences on mobile apps. But how they are deployed into the Android apps in practice is unclear. We have collected 1000+ AI mobile apps and we will analyse the AI usage in these apps.
Applications Applications closed on Friday, 26 August 2022.

Privacy-preserving Stateful Network Functions over Encrypted Traffic
Code	Start date	Value	Contact
3039	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Xingliang Yuan Email: xingliang.yuan@monash.edu
Applications Applications closed on Friday, 26 August 2022.

Supporting Document Annotation
Code	Start date	Value	Contact
3040	21 November 2022 (negotiable)	$5000 ($500 x 10 weeks)	Dr Reuben Kirkham Email: reuben.kirkham@monash.edu Research profile: Dr Reuben Kirkham More information about project #3040
Additional details Depending on the number of applicants, shortlisted applicants will be interviewed.
Applications Applications closed on Friday, 26 August 2022.

Exploring technologies to help neuro-divergent students to not lose items
Code	Start date	Value	Contact
3041	21 November 2022 (negotiable)	$4000 ($500 x 8 weeks)	Dr Reuben Kirkham and Ben Phua Email: reuben.kirkham@monash.edu More information about project #3041
Prerequisites Ideally you will be studying design, IT or engineering and have taken FIT3146 - Maker lab but we are happy to consider students from a wide range of backgrounds!
Additional details Depending on the number of applicants, shortlisted applicants will be informally interviewed.
Applications Applications closed on Friday, 26 August 2022.

Virtual heritage 3D architectural modelling & texturing
Code	Start date	Value	Contact
3042	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Tom Chandler Email: tom.chandler@monash.edu Phone: 99031314 Research profile: Tom Chandler More information about project #3042
Prerequisites This project depends upon refined 3D modelling and texturing skills and proficiency with Maya and Unity are required. This project would suit students who have completed (or have nearly completely) most of the units in the Game Design Minor or 3D Modelling and Animation minor.
Applications Applications closed on Friday, 19 May 2023.

Exploring the potential of commercial Voice Assisted Technologies (VATs) in healthcare
Code	Start date	Value	Contact
3043	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr Reuben Kirkham and Pranav Kulkarni Email: reuben.kirkham@monash.edu More information about project #3043
Prerequisites Distinction or above in FIT4005/5125 (Research methods in IT) or have equivalent research experience
Additional details Depending on the number of applicants, shortlisted applicants will be interviewed.
Applications Applications closed on Friday, 26 August 2022.

Historical Map of Melbourne
Code	Start date	Value	Contact
3044	21 November 2022	$6000 ($500 x 12 weeks)	Associate Professor David Taniar Email: david.taniar@monash.edu Research profile: Associate Professor David Taniar
Prerequisites Familiar with OSM and QGIS, strong programming skills
Additional details The project builds a historical map of Melbourne from 1960s till now.
Applications Applications closed on Friday, 26 August 2022.

Deep learning based medical image classification
Code	Start date	Value	Contact
3050	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Prof. Jianfei Cai Email: jianfei.cai@monash.edu Research profile: Prof. Jianfei Cai More information about project #3050
Prerequisites The student must have knowledge on deep learning (e.g. taking online Stanford deep learning, computer vision related courses) and has done some deep learning projects before.
Additional details If shortlisted, the student is required to attend an interview.
Applications Applications closed on Friday, 26 August 2022.

Design, Modelling and Control of a Direct Air Capture (DAC) Apparatus using AI
Code	Start date	Value	Contact
3053	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr. Buser Say, Prof. Paul Webley Email: buser.say@monash.edu Research profile: Dr. Buser Say, Prof. Paul Webley More information about project #3053
Prerequisites Proficient in programming, mathematical optimization and/or numerical methods.
Additional details The shortlisted candidates will be interviewed.
Applications Applications closed on Friday, 26 August 2022.

Verifying safety properties of machine learning models using IMANDRA
Code	Start date	Value	Contact
3054	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr. Julian Gutierrez, Dr. Buser Say Email: buser.say@monash.edu Research profile: Dr. Julian Gutierrez, Dr. Buser Say More information about project #3054
Prerequisites Proficient in programming, mathematical optimization/discrete optimization.
Additional details The shortlisted candidates will be interviewed.
Applications Applications closed on Friday, 26 August 2022.

A Computer Vision Project: Generalized Learning for Image-based Planning
Code	Start date	Value	Contact
3055	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr. Buser Say Email: buser.say@monash.edu Research profile: Dr. Buser Say More information about project #3055
Prerequisites Proficiency in Python Programming, previous expertise in (or desire to learn) Machine Learning and Sequential Decision Making.
Additional details The shortlisted candidates will be interviewed.
Applications Applications closed on Friday, 26 August 2022.

Blackbox Optimization of Unknown Functions
Code	Start date	Value	Contact
3056	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr. Buser Say, Prof. Geoff Webb, Prof. Aldeida Aleti Email: buser.say@monash.edu Research profile: Dr. Buser Say, Prof. Geoff Webb, Prof. Aldeida Aleti More information about project #3056
Prerequisites Proficiency in Python Programming, Machine Learning and/or Optimization
Additional details The shortlisted candidates will be interviewed.
Applications Applications closed on Friday, 26 August 2022.

Protecting SGX Enclaves against Side-channel Attacks
Code	Start date	Value	Contact
3057	21 November 2022	$6000 ($500 x 12 weeks)	Shujie Cui Email: shujie.cui@monash.edu Research profile: Shujie Cui More information about project #3057
Prerequisites Students familiar with C/C++ programming and Intel SGX
Additional details If shortlisted you are required to attend an interview in October
Applications Applications closed on Friday, 26 August 2022.

Designing a dynamic consent process for mobile app data usage
Code	Start date	Value	Contact
3058	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Associate Professor Carsten Rudolph Email: carsten.rudolph@monash.edu Research profile: Associate Professor Carsten Rudolph More information about project #3058
Prerequisites - Basic knowledge in privacy protection frameworks Some knowledge on UI/UX design Basic programming skills to build a small demo
Additional details If shortlisted, we will contact you for an interview to check that the project is the right fit.
Applications Applications closed on Friday, 26 August 2022.

Automated Phishing Email Generation
Code	Start date	Value	Contact
3059	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Associate Professor Carsten Rudolph Email: carsten.rudolph@monash.edu Research profile: Associate Professor Carsten Rudolph More information about project #3059
Prerequisites Solid programming skills in Python (required). Some knowledge in Natural Language Generation and Deep Learning (preferred).
Additional details If shortlisted, we will contact you for an interview to check that the project is the right fit.
Applications Applications closed on Friday, 26 August 2022.

Email Summarisation to assist Users in Phishing Identification
Code	Start date	Value	Contact
3060	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Associate Professor Carsten Rudolph Email: carsten.rudolph@monash.edu Research profile: Associate Professor Carsten Rudolph More information about project #3060
Prerequisites Solid programming skills in Python (required). Some knowledge in Natural Language Generation and Deep Learning (preferred).
Additional details If shortlisted, we will contact you for an interview to check that the project is the right fit.
Applications Applications closed on Friday, 26 August 2022.

Email Summarisation to assist Users in Phishing Identification
Code	Start date	Value	Contact
3068	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Associate Professor Carsten Rudolph Email: carsten.rudolph@monash.edu Research profile: Associate Professor Carsten Rudolph More information about project #3068
Prerequisites Solid programming skills in Python (required). Some knowledge in Natural Language Generation and Deep Learning (preferred).
Additional details If shortlisted, we will contact you for an interview to check that the project is the right fit.
Applications Applications closed on Friday, 26 August 2022.

Drawing Robots
Code	Start date	Value	Contact
3069	21 November 2022 (negotiable)	$4000 ($500 x 8 weeks)	Professor Jon McCormack Email: jon.mccormack@monash.edu Research profile: Professor Jon McCormack More information about project #3069
Prerequisites To be considered for this project you should have experience in *any* of the following: a creative drawing practice; web frontend development (e.g. html5, javascript); Programming in Python or C++; experience with microcontroller programming.
Additional details This project will require you to work within our research lab (SensiLab), which is based at Monash's Caulfield campus. You will be required to attend on-campus for the majority of the project's duration.
Applications Applications closed on Friday, 26 August 2022.

Breast cancer online community platform in developing countries
Code	Start date	Value	Contact
3070	21 November 2022 (negotiable)	$4000 ($500 x 8 weeks)	Dr Misita Anwar Email: misita.anwar@monash.edu Research profile: Dr Misita Anwar
Prerequisites Web programming
Additional details Explore ways to build a safe, efficient and interactive online community and social network platform for breast cancer patient in developing country context. Interview required.
Applications Applications closed on Friday, 26 August 2022.

Harnessing limitations of text-to-image generators
Code	Start date	Value	Contact
3071	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr. Maria Teresa Llano Rodriguez Email: teresa.llano@monash.edu Research profile: Dr. Maria Teresa Llano Rodriguez
Prerequisites Third-year computer science students preferably with machine learning experience.
Additional details If shortlisted you are required to attend an interview (date and time to be arranged by email)
Applications Applications closed on Friday, 26 August 2022.

Automated Source Code Generation by Large Language Models
Code	Start date	Value	Contact
3085	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr Chunyang Chen Email: chunyang.chen@monash.edu Research profile: Dr Chunyang Chen More information about project #3085
Prerequisites *Very good* at programming, experience using GitHub Copilot is a big plus
Applications Applications closed on Friday, 26 August 2022.

Improving Satisfiability Solving in Python
Code	Start date	Value	Contact
3086	18 November 2024 (negotiable)	$7200 ($600 x 12 weeks)	Dr. Alexey Ignatiev Email: alexey.ignatiev@monash.edu Research profile: Dr. Alexey Ignatiev More information about project #3086
Prerequisites FIT2004, FIT2014, FIT2102
Additional details Propositional satisfiability (SAT) is a well-known example of NP-complete problems. Although NP-completeness may be perceived as a drawback, it allows one to solve all the other problems in NP by reducing them to SAT and relying on the power of modern SAT solvers. This project will be devoted to developing various ways to improve PySAT, a critical Python Package Index (PyPI) package used for effective prototyping and problem solving with SAT, and augment PySAT with additional functionality.
Applications Applications closed on Friday, 30 August 2024.

A Neuro-Symbolic Agent for Playing Minecraft
Code	Start date	Value	Contact
3087	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Dr. Lizhen Qu Email: lizhen.qu@monash.edu Research profile: Dr. Lizhen Qu More information about project #3087
Prerequisites The candidate should have a strong coding skill and a solid understanding in deep learning. It is desirable if the candidate have prior experiences in computer vision and reinforcement learning. Preference will be given to a candidate who complete FIT2014, MAT1830, FIT3080, FIT5201.
Additional details If shortlisted the candidate is required to attend an interview.
Applications Applications closed on Friday, 19 May 2023.

Privacy-preserving Machine Learning
Code	Start date	Value	Contact
3088	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Shujie Cui Email: shujie.cui@monash.edu Research profile: Shujie Cui More information about project #3088
Prerequisites C/C++ programming
Additional details If shortlisted you are required to attend an interview in September
Applications Applications closed on Friday, 26 August 2022.

Visualising multidimensional urban data
Code	Start date	Value	Contact
3090	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Sarah Goodwin Email: sarah.goodwin@monash.edu Research profile: Sarah Goodwin More information about project #3090
Prerequisites 3rd or final year students, or Masters with demonstrated experience of javascript programming. Confident in handling data sets. An interest in visualisation. Experience of React and/or Mapbox advantageous. Interest in urban geography, social science or urban policy is a bonus.
Additional details If shortlisted you may be required to interview early September.
Applications Applications closed on Friday, 26 August 2022.

Telling the story of Australian Energy: the Past, Present and Future
Code	Start date	Value	Contact
3091	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Sarah Goodwin Email: sarah.goodwin@monash.edu Research profile: Sarah Goodwin More information about project #3091
Prerequisites Programming experience of with html, javascript and Mapbox JS GL, knowledge of geographical, network and temporal data, data wrangling, visualisation interface design.
Additional details If shortlisted you may be required to interview early September.
Applications Applications closed on Friday, 26 August 2022.

Learning and Reputation Dynamics
Code	Start date	Value	Contact
3092	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Julian García Email: julian.garcia@monash.edu Research profile: Julian García More information about project #3092
Prerequisites Please see description on the project website.
Applications Applications closed on Friday, 26 August 2022.

Games between scientists and journals
Code	Start date	Value	Contact
3099	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Julian García Email: julian.garcia@monash.edu Research profile: Julian García More information about project #3099
Prerequisites Please see description on project website.
Applications Applications closed on Friday, 26 August 2022.

Visual Software for Eye Tracking Data Analysis
Code	Start date	Value	Contact
3100	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Sarah Goodwin Email: sarah.goodwin@monash.edu Research profile: Sarah Goodwin More information about project #3100
Prerequisites 3rd or final year UG or Masters level. Front end design skills with knowledge of UX/UI design. Competent programmer, especially Javascript and other web technologies. Interest in data exploration and data visualisation and visual analytics.
Additional details You will be required to attend an interview early September via Zoom
Applications Applications closed on Friday, 26 August 2022.

Mini-LCG
Code	Start date	Value	Contact
3101	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Peter Stuckey Email: peter.stuckey@monash.edu Research profile: Peter Stuckey More information about project #3101
Prerequisites Significant C++ expertise
Additional details If you want to build a tool that will be widely used to solve real-world problems this may be the project for you.
Applications Applications closed on Friday, 26 August 2022.

Building consistent world states for an autonomous agent
Code	Start date	Value	Contact
3103	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Professor Maria Garcia de la Banda Email: maria.garciadelabanda@monash.edu Research profile: Professor Maria Garcia de la Banda More information about project #3103
Prerequisites Excellent programming skills (as evidenced, for example, by high marks in FIT2004). In addition, it would be desirable for them to have done the 'Programming languages and paradigms' unit (FIT2102) or, if a masters student, the 'Modelling discrete optimisation' unit (FIT5216).
Additional details This project will build the knowledge base and commonsense reasoning required for a semi-autonomous agent to succeed in the Animal AI-Testbed tasks. Students in this project will collaborate with those in projects “Efficient exploration of consistent worlds” & “Solving Automata using ASP/Minizinc?” Shortlisted students are required to attend an interview.
Applications Applications closed on Friday, 26 August 2022.

Building consistent world states for an autonomous agent
Code	Start date	Value	Contact
3104	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Professor Maria Garcia de la Banda Email: maria.garciadelabanda@monash.edu Research profile: Professor Maria Garcia de la Banda More information about project #3104
Prerequisites Excellent programming skills (as evidenced, for example, by high marks in FIT2004). In addition, it would be desirable for them to have done the 'Programming languages and paradigms' unit (FIT2102) or, if a masters student, the 'Modelling discrete optimisation' unit (FIT5216).
Additional details This project will build the knowledge base and commonsense reasoning required for a semi-autonomous agent to succeed in the Animal AI-Testbed tasks. Students in this project will collaborate with those in projects “Efficient exploration of consistent worlds” & “Solving Automata using ASP/Minizinc?” Shortlisted students are required to attend an interview.
Applications Applications closed on Friday, 26 August 2022.

Efficient exploration of consistent worlds
Code	Start date	Value	Contact
3105	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr. Alexey Ignatiev Email: alexey.ignatiev@monash.edu Research profile: Dr. Alexey Ignatiev More information about project #3105
Prerequisites FIT2004, FIT2102
Additional details This project will exploit modern reasoning paradigms and relate with Markov Logic Networks in order to facilitate interaction between symbolic knowledge and a neural agent and succeed in overall neuro-symbolic tasks, i.e. those posed by Animal AI-Testbed. Students in this project will collaborate closely with those involved in the project on “Building consistent world states for an autonomous agent”.
Applications Applications closed on Friday, 19 May 2023.

Refactoring BARD NLG from Java to Python
Code	Start date	Value	Contact
3106	21 November 2022 (negotiable)	$4800 ($400 x 12 weeks)	Professor Ann Nicholson / Ross Pearson (PhD student) Email: ann.nicholson@monash.edu Research profile: Professor Ann Nicholson / Ross Pearson (PhD student)
Prerequisites Computer science, data science, software engineering or software dev major students; or Masters of AI or Data Science; Strong programming in Python; Knowledge of Bayesian networks an advantage but not required.
Additional details Required to attend an interview. Project start date and duration negotiable. Up to 12 weeks. The project would be suited to a data scientist with a strong development focus or a computer science/software eng/software development student. The project entails porting an existing Java implementation across to Python. The current solution (in Java) provides Natural Language Generation (NLG) for BNs but is not easily accessible for other projects. The intent therefore is to convert this program into a Python library, refactoring the code and adding documentation support. Some form of CI/CD with GitHub integration would also be desirable. The hands-on supervisor for this project will be Ross Pearson (current PhD student of Prof Ann Nicholson) who prior to Monash has significant full stack experience and will help to guide the student through the design and development process. This project involves a component of the BARD tool, developed in a previous research project: Nyberg EP, Nicholson AE, Korb KB, Wybrow M, Zukerman I, Mascaro S, et al. BARD: A Structured Technique for Group Elicitation of Bayesian Networks to Support Analytic Reasoning. Risk Analysis. 2021; Special Issue: Bayesian networks for risk analysis and decision-support. doi:10.1111/risa.13759. pdf available here: https://drive.google.com/file/d/1iBu2MVh-IlcN2UWtrGKP1aB2bCTSHBZ_/view?usp=sharing
Applications Applications closed on Friday, 26 August 2022.

Analysing behaviours of users in group decision making in the BARD tool
Code	Start date	Value	Contact
3107	21 November 2022 (negotiable)	$4800 ($400 x 12 weeks)	Professor Ann Nicholson / Ross Pearson (PhD student) Email: ann.nicholson@monash.edu Research profile: Professor Ann Nicholson / Ross Pearson (PhD student)
Prerequisites 2nd or 3rd year computer science / data science students; masters of data science. Required data analysis skills. Would suit Science(Maths)/CS double degree student.
Additional details Required for interview. Start date and project duration flexible. This project would be suitable for a student interested in artificial intelligence research with some statistical skills. The purpose of this project is to analyse the behaviours of users of a Bayesian Network modelling tool (called BARD) to identify which of those behaviours increase (or decrease) the quality of the model they develop. This project involves analysing past experimental data and log files rather than conducting new human subject experimentation. The student will be required to explore the different behaviour types and propose statistical measures for evaluating their impact on model outcomes. Python script has already been developed to extract data from the modelling tool and to perform an initial correlation meaning the student will be able to focus on analysing the data rather than spending time on set-up and data wrangling. The hands-on supervisor for this project will be Ross Pearson who is a PhD student of Prof Ann Nicholson's, focused on Bayesian Networks. Ross previously worked on the experiments where the original data was collected. Nyberg, E., Nicholson, A., Korb, K., Wybrow, M., Zukerman, I., Mascaro,S., Thakur, S., Oshni Alvandi, A., Riley, J., Pearson, R., Morris, S.,Herrmann, M., Azad, A., Bolger, F., Hahn, U., & Lagnado, D. (2021).BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. Risk Analysis,https://doi.org/10.1111/risa.13759 pdf of paper here: https://drive.google.com/file/d/1JkRsb_JCRgkzJSeZZV_d4Gaja502RIjR/view?usp=sharing
Applications Applications closed on Friday, 26 August 2022.

Ideating through argumentation - a case study applied to image generation
Code	Start date	Value	Contact
3108	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr. Maria Teresa Llano Email: teresa.llano@monash.edu Research profile: Dr. Maria Teresa Llano
Prerequisites Third-year computer science students preferably with machine learning experience
Additional details If shortlisted you are required to attend an interview (date/time to be arranged by email)
Applications Applications closed on Friday, 26 August 2022.

Diversity of solutions for optimisation of Hydrogen value chains
Code	Start date	Value	Contact
3109	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Prof. Maria Garcia de la Banda, Dr. Frits de Nijs and Dr. Senthooran Ilankaikone Email: frits.nijs@monash.edu Research profile: Prof. Maria Garcia de la Banda, Dr. Frits de Nijs and Dr. Senthooran Ilankaikone More information about project #3109
Prerequisites Familiarity with optimisation (mixed-integer linear programming, constraint programming) and experience in Python and/or MiniZinc
Additional details See website for project information. If you are shortlisted, you are required to attend a short interview with the project supervisors.
Applications Applications closed on Friday, 26 August 2022.

Robustness of solutions for optimisation of Hydrogen value chains
Code	Start date	Value	Contact
3110	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Prof. Maria Garcia de la Banda, Dr. Frits de Nijs and Dr. Senthooran Ilankaikone Email: frits.nijs@monash.edu Research profile: Prof. Maria Garcia de la Banda, Dr. Frits de Nijs and Dr. Senthooran Ilankaikone More information about project #3110
Prerequisites Familiarity with optimisation (mixed-integer linear programming, constraint programming) and experience in Python and/or MiniZinc
Additional details See website for project information. If you are shortlisted, you are required to attend a short interview with the project supervisors.
Applications Applications closed on Friday, 26 August 2022.

App development for bedside detection of early kidney disease via vibrational spectroscopy
Code	Start date	Value	Contact
3111	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	A/Prof. Michael Wybrow Email: michael.wybrow@monash.edu Research profile: A/Prof. Michael Wybrow More information about project #3111
Prerequisites Strong programming skills including app development experience, preferably iOS (e.g., FIT3178).
Additional details See website for project information. If you are shortlisted, you are required to attend a short interview with the project supervisors.
Applications Applications closed on Friday, 26 August 2022.

A Visual Debugger for Pathfinding Search
Code	Start date	Value	Contact
3112	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	A/Prof. Michael Wybrow Email: michael.wybrow@monash.edu Research profile: A/Prof. Michael Wybrow More information about project #3112
Prerequisites Strong programming skills. Some experience with JavaScript, SVG and C++ preferred.
Additional details See website for project information. If you are shortlisted, you are required to attend a short interview with the project supervisors.
Applications Applications closed on Friday, 26 August 2022.

A Visual Debugger for Pathfinding Search
Code	Start date	Value	Contact
3113	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	A/Prof. Michael Wybrow Email: michael.wybrow@monash.edu Research profile: A/Prof. Michael Wybrow More information about project #3113
Prerequisites Strong programming skills. Some experience with JavaScript, SVG and C++ preferred.
Additional details See website for project information. If you are shortlisted, you are required to attend a short interview with the project supervisors.
Applications Applications closed on Friday, 26 August 2022.

Exploring how visual representations of Bayesian Networks influences understanding
Code	Start date	Value	Contact
3114	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	A/Prof. Michael Wybrow Email: michael.wybrow@monash.edu Research profile: A/Prof. Michael Wybrow More information about project #3114
Prerequisites Good programming skills. Some knowledge of Causal Bayesian Networks and/or Human-Computer Interaction beneficial.
Additional details See website for project information. If you are shortlisted, you are required to attend a short interview with the project supervisors.
Applications Applications closed on Friday, 26 August 2022.

Cloud diagnosis for bedside detection of early kidney disease via vibrational spectroscopy
Code	Start date	Value	Contact
3115	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr Adel Toosi Email: Adel.Toosi@monash.edu Research profile: Dr Adel Toosi More information about project #3115
Prerequisites Strong programming. Familiarity with cloud services.
Additional details 'See website for project information. If you are shortlisted, you are required to attend a short interview with the project supervisors. '
Applications Applications closed on Friday, 26 August 2022.

Exploring new visualisations for the Hydrogen value chain dashboard
Code	Start date	Value	Contact
3116	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	A/Prof. Michael Wybrow Email: michael.wybrow@monash.edu Research profile: A/Prof. Michael Wybrow More information about project #3116
Prerequisites Experience in Python and/or Javascript.
Additional details See website for project information. If you are shortlisted, you are required to attend a short interview with the project supervisors.
Applications Applications closed on Friday, 26 August 2022.

Explainable AI for Medical Image Analysis
Code	Start date	Value	Contact
3117	21 November 2022	$6000 ($500 x 12 weeks)	Associate Professor David Taniar Email: david.taniar@monash.edu Research profile: Associate Professor David Taniar More information about project #3117
Prerequisites Experience in Deep Learning
Applications Applications closed on Friday, 26 August 2022.

Explainable AI for Medical Image Analysis
Code	Start date	Value	Contact
3118	21 November 2022	$6000 ($500 x 12 weeks)	Associate Professor David Taniar Email: david.taniar@monash.edu Research profile: Associate Professor David Taniar More information about project #3118
Prerequisites Experience in Deep Learning
Applications Applications closed on Friday, 26 August 2022.

Connected Cars: Computational Models for Time-Critical Safety Applications
Code	Start date	Value	Contact
3120	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr Adel. N Toosi, Asco. Prof Aamir Cheema Email: adel.n.toosi@monash.edu Research profile: Dr Adel. N Toosi, Asco. Prof Aamir Cheema More information about project #3120
Prerequisites Solid programming skills in Python Linux shell scripting skills Basic knowledge of distributed systems and computer networks Basic software engineering skills Background in Machine Learning, Optimisation, and Data Structures Experiences with Raspberry Pis Basic cloud computing skills (e.g. AWS)
Additional details Please contact supervisor for an interview before submitting your application
Applications Applications closed on Friday, 26 August 2022.

Edge-compute removal of backgrounds from insect tracking videos
Code	Start date	Value	Contact
3121	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr Adel N. Toosi, Associate Professor Alan Dorin Email: adel.n.toosi@monash.edu Phone: 99059635 Research profile: Dr Adel N. Toosi, Associate Professor Alan Dorin More information about project #3121
Prerequisites Computer programming (e.g. Python) basic image processing An interest (but not necessarily formal qualifications) in ecology, insects, plants, sustainability or food production Linux Shell Scripting Experience of working with Raspberry Pis is a plus Curiosity is required!
Additional details Please contact supervisors for an interview before submitting your application
Applications Applications closed on Friday, 26 August 2022.

Flying insect tracking between multiple adjacent cameras operating on edge-compute devices
Code	Start date	Value	Contact
3122	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr Adel N. Toosi and Associate Professor Alan Dorin Email: adel.n.toosi@monash.edu Phone: 99059635 Research profile: Dr Adel N. Toosi and Associate Professor Alan Dorin More information about project #3122
Prerequisites Computer programming experience with basic image processing An interest (but not necessarily formal qualifications) in ecology, insects, plants, sustainability or food production Linux Shell Scripting is a plus. Experience of working with Raspberry Pis is a plus. Curiosity is required!
Additional details Please contact the supervisor for an interview before submitting your application
Applications Applications closed on Friday, 26 August 2022.

Solving parity games in parallel using MATLAB and Mathematica
Code	Start date	Value	Contact
3123	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Julian Gutierrez More information about project #3123
Prerequisites FIT2014 and MAT1830 (or equivalent); Basic programming skills.
Additional details If shortlisted, a quick and informal interview will be conducted.
Applications Applications closed on Friday, 26 August 2022.

New parallel algorithms for parity games
Code	Start date	Value	Contact
3124	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Julian Gutierrez More information about project #3124
Prerequisites FIT2014 and MAT1830 (or equivalent); Basic programming skills.
Additional details If shortlisted, a quick and informal interview will be conducted.
Applications Applications closed on Friday, 26 August 2022.

New parallel algorithms for parity games
Code	Start date	Value	Contact
3125	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Julian Gutierrez More information about project #3125
Prerequisites FIT2014 and MAT1830 (or equivalent); Basic programming skills.
Additional details If shortlisted, a quick and informal interview will be conducted.
Applications Applications closed on Friday, 26 August 2022.

A GUI for EVE
Code	Start date	Value	Contact
3126	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Julian Gutierrez More information about project #3126
Prerequisites FIT2014 and MAT1830 (or equivalent); Excellent programming skills.
Additional details If shortlisted, a quick and informal interview will be conducted.
Applications Applications closed on Friday, 26 August 2022.

Adding cooperative games to EVE
Code	Start date	Value	Contact
3127	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Julian Gutierrez More information about project #3127
Prerequisites FIT2014 and MAT1830 (or equivalent); Excellent programming skills.
Additional details If shortlisted, a quick and informal interview will be conducted.
Applications Applications closed on Friday, 26 August 2022.

Experimental evaluation of ALMANAC
Code	Start date	Value	Contact
3128	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Julian Gutierrez More information about project #3128
Prerequisites FIT2014 and MAT1830 (or equivalent); Excellent programming skills; FIT3080 (or equivalent)
Additional details If shortlisted, a quick and informal interview will be conducted.
Applications Applications closed on Friday, 26 August 2022.

Hierarchical Reinforcement Learning with LTL Goals
Code	Start date	Value	Contact
3129	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Julian Gutierrez More information about project #3129
Prerequisites FIT2014, MAT1830, FIT3080, FIT5201 (or equivalent).
Additional details Hierarchical Reinforcement Learning (HRL) can be used to decompose a complex learning task into a collection of subtasks, which may be simpler to learn or reason about. This project is about developing HRL algorithms to learn to accomplish goals/tasks specified in Linear Temporal Logic (LTL). Project co-supervised with A/Prof Yuan-Fang Li and Dr. Lizhen Qu.
Applications Applications closed on Friday, 26 August 2022.

Solving Automata using a Logic-Based Programming Approach
Code	Start date	Value	Contact
3130	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Julian Gutierrez More information about project #3130
Prerequisites FIT2014 and MAT1830 (or equivalent); Desirable FIT5216; Excellent programming skills.
Additional details Several verification problems, especially using temporal logics, can be solved by reducing such problems to questions about automata. This project is about using a Logic-based Programming technology to solve those verification problems following the automata-theoretic approach for specifications in LTL. Project co-supervised with other Academics in the Optimisation group.
Applications Applications closed on Friday, 26 August 2022.

Research and Application of Multi-Agent Path Finding Problem
Code	Start date	Value	Contact
3131	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr. Daniel Harabor, Senior Lecturer/Mr. Zhe Chen, PhD Candidate Email: zhe.chen@monash.edu Phone: +61 3 99034334 Research profile: Dr. Daniel Harabor, Senior Lecturer/Mr. Zhe Chen, PhD Candidate
Prerequisites Familiar with algorithms and data structures. Preferably with C++ programming experience. Familiar with search algorithms, like Dijkstra and A-Star algorithms.
Additional details Multi-agent path finding (MAPF) is a coordination problem where we need to find collision-free paths that can navigate a group of agents to their goal locations. The problem itself is proved to be NP-Hard for finding an optimal solution. Researchers spend years of effort to tackle the problem and improve the efficiency of solving the problem. Yet planning paths is just the first step. In practical applications, such as Amazon's automated fulfilment centres, we need to decide which agent performs which task before we compute collision-free plans. Other difficulties include geometric constraints (the agents have size), kinematic constraints (the agents have speed) and various operational limitations. The plans may also be derailed during execution, because of unexpected malfunctions and delays. In this project, we will study how to solve MAPF problems with an eye toward such real-world application consideration.
Applications Applications closed on Friday, 26 August 2022.

Parallel heuristic search
Code	Start date	Value	Contact
3132	20 November 2023 (negotiable)	$1600 ($400 x 4 weeks)	David Dowe Email: david.dowe@monash.edu Research profile: David Dowe More information about project #3132
Prerequisites First year undergraduate mathematics. A knowledge of - or at least an interest in - search algorithms and/or planning.
Applications Applications closed on Friday, 25 August 2023.

Does deep learning over-fit - and, if so, how does it work on time series?
Code	Start date	Value	Contact
3133	18 November 2024 (negotiable)	$3200 ($400 x 8 weeks)	David Dowe and Shelton Peiris Email: david.dowe@monash.edu Research profile: David Dowe and Shelton Peiris More information about project #3133
Prerequisites At least first year undergraduate mathematics, preferably more. Statistics, machine learning and/or data science - as far as possible along an undergraduate degree. An ability to program.
Applications Applications closed on Friday, 30 August 2024.

Does deep learning over-fit - and, if so, how does it work on time series?
Code	Start date	Value	Contact
3134	21 November 2022 (negotiable)	$3200 ($400 x 8 weeks)	David Dowe Email: david.dowe@monash.edu Research profile: David Dowe More information about project #3134
Prerequisites At least first year undergraduate mathematics, preferably more. Statistics, machine learning and/or data science - as far as possible along an undergraduate degree. An ability to program.
Applications Applications closed on Friday, 26 August 2022.

Persona Based UI
Code	Start date	Value	Contact
3135	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Anuradha Madugalla Email: anu.madugalla@monash.edu Research profile: Anuradha Madugalla More information about project #3135
Prerequisites Excellent web development experience, Usability experience , knowledge in Personas (preferred)
Additional details Attend interview if shortlisted
Applications Applications closed on Friday, 26 August 2022.

AI-enabled energy consumption pattern recognition for promoting sustainability
Code	Start date	Value	Contact
3137	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr Hao Wang Email: hao.wang2@monash.edu Research profile: Dr Hao Wang More information about project #3137
Prerequisites All grades of undergraduate/honour/postgraduate students can apply; Programming in Python required; Some knowledge in machine learning would be preferred.
Additional details If shortlisted, a short interview is needed soon after the project selection deadline. Please feel free to contact the supervisor via email.
Applications Applications closed on Friday, 26 August 2022.

AI and Optimisation Empowered Net Zero Transition - Monash Campus as A Case Study
Code	Start date	Value	Contact
3138	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Dr Hao Wang, Dr Pooia Lalbakhsh, Prof Ariel Liebman Email: hao.wang2@monash.edu Research profile: Dr Hao Wang, Dr Pooia Lalbakhsh, Prof Ariel Liebman
Prerequisites All grades of undergraduate/honour/postgraduate students can apply; Some knowledge in Mathematical Modelling and Operations Research/Optimisation would be preferred; Keen to learn programming for building digital twin platforms
Additional details If shortlisted, a short interview is needed soon after the project selection deadline. Please feel free to contact the supervisors via email.
Applications Applications closed on Friday, 26 August 2022.

Secure & Efficient Implementation of Quantum-Safe Cryptography
Code	Start date	Value	Contact
3140	21 November 2022	$2400 ($200 x 12 weeks)	A/Prof Ron Steinfeld Email: ron.steinfeld@monash.edu Research profile: A/Prof Ron Steinfeld
Prerequisites Third-year Comp Sci students or Masters students, should have one (or more) of: • Good programming skills, preferably in C/Assembly/Java/C#. • Good mathematical skills, • Familiarity with the basics of cryptography, and preferably taking the unit FIT5124 (Advanced Topics in Security).
Additional details Please contact the supervisor to arrange an interview.
Applications Applications closed on Friday, 26 August 2022.

Secure & Efficient Implementation of Quantum-Safe Cryptography
Code	Start date	Value	Contact
3149	21 November 2022	$2400 ($200 x 12 weeks)	A/Prof Ron Steinfeld Email: ron.steinfeld@monash.edu Research profile: A/Prof Ron Steinfeld
Prerequisites Third-year Comp Sci students or Masters students, should have one (or more) of: • Good programming skills, preferably in C/Assembly/Java/C#. • Good mathematical skills, • Familiarity with the basics of cryptography, and preferably taking the unit FIT5124 (Advanced Topics in Security).
Additional details Please contact the supervisor to arrange an interview.
Applications Applications closed on Friday, 26 August 2022.

Lambda Calculi for Core Logic
Code	Start date	Value	Contact
3150	21 November 2022 (negotiable)	$6000 ($500 x 12 weeks)	Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Julian Gutierrez More information about project #3150
Prerequisites Desirable: Logic, Discrete Mathematics.
Additional details Co-supervised by David Ripley
Applications Applications closed on Friday, 26 August 2022.

CAD: a benchmark for code adversarial attack and defense
Code	Start date	Value	Contact
3168	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Xiaoning Du Email: Xiaoning.Du@monash.edu More information about project #3168
Prerequisites (HD WAM) OR ((research experience in deep learning/NLP) AND (D WAM)). Be familiar with PyTorch and TensorFlow. Be familiar with https://huggingface.co/, as a part of the implementations and experiments will rely on this library. Be familiar with the listed datasets, models and tasks. Have interests in code intelligence, NLP and AI security.
Additional details The project aims to build the first Python framework for adversarial attacks, data augmentation, and model training in software engineering. The supported datasets, models and tasks will be unified in this framework to provide fair evaluation of existing adversarial attack and training approaches. The vision is to bridge the gap between programming language and natural language through machine learning techniques.
Applications Applications closed on Friday, 19 May 2023.

Parameter-efficient transfer learning for code learning
Code	Start date	Value	Contact
3169	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Xiaoning Du Email: Xiaoning.Du@monash.edu More information about project #3169
Prerequisites Be familiar with existing parameter efficient learning approaches. Benchmarking the parameter efficient learning approaches across various datasets. Report the results and write a conference paper about the empirical study.
Additional details (HD WAM) OR ((research experience in deep learning/NLP) AND (D WAM)). Be familiar with PyTorch and TensorFlow. Be familiar with https://huggingface.co/, as a part of the implementations and experiments will rely on this library. Be familiar with the listed datasets, models and tasks. Have interests in code intelligence, NLP and AI security.
Applications Applications closed on Friday, 19 May 2023.

CodeGenEval: Reference-free Code Evaluation with Large Language Model
Code	Start date	Value	Contact
3170	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Xiaoning Du Email: Xiaoning.Du@monash.edu More information about project #3170
Prerequisites (HD WAM) OR ((research experience in deep learning/NLP) AND (D WAM)). Be familiar with PyTorch and TensorFlow. Be familiar with https://huggingface.co/, as a part of the implementations and experiments will rely on this library. Be familiar with the listed datasets, models and tasks. Have interests in code intelligence, NLP and AI security.
Additional details The quality of texts generated by code generation systems is hard to measure automatically. Conventional reference-based metrics, such as BLEU and CodeBLEU, have been shown to have relatively low correlation with human judgments, especially for tasks that require creativity and diversity. Recent studies suggest using large language models (LLMs) as reference-free metrics for natural language generation (NLG) evaluation, which have the benefit of being applicable to new tasks that lack human references. In addition, the evaluation performance via LLMs can be further improved by with chain-of-thoughts (CoT) and a form-filling paradigm. However, there is no attempt to evaluate code generation with these LLMs. In this work, we investigate how LLMs can be prompted to evaluate the quality of code generation effectively, aligned with the human judgment.
Applications Applications closed on Friday, 19 May 2023.

A benchmark for API invocation in code generation
Code	Start date	Value	Contact
3171	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Xiaoning Du Email: Xiaoning.Du@monash.edu
Prerequisites (HD WAM) OR ((research experience in deep learning/NLP) AND (D WAM)). Be familiar with PyTorch and TensorFlow. Be familiar with https://huggingface.co/, as a part of the implementations and experiments will rely on this library. Be familiar with the listed datasets, models and tasks. Have interests in code intelligence, NLP and AI security.
Applications Applications closed on Friday, 19 May 2023.

Extracting training data from code neural models
Code	Start date	Value	Contact
3172	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Xiaoning Du Email: Xiaoning.Du@monash.edu
Prerequisites (HD WAM) OR ((research experience in deep learning/NLP) AND (D WAM)). Be familiar with PyTorch and TensorFlow. Be familiar with https://huggingface.co/, as a part of the implementations and experiments will rely on this library. Be familiar with the listed datasets, models and tasks. Have interests in code intelligence, NLP and AI security.
Applications Applications closed on Friday, 19 May 2023.

Mining API relationships in code neural models
Code	Start date	Value	Contact
3173	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Xiaoning Du Email: Xiaoning.Du@monash.edu
Prerequisites (HD WAM) OR ((research experience in deep learning/NLP) AND (D WAM)). Be familiar with PyTorch and TensorFlow. Be familiar with https://huggingface.co/, as a part of the implementations and experiments will rely on this library. Be familiar with the listed datasets, models and tasks. Have interests in code intelligence and NLP.
Applications Applications closed on Friday, 19 May 2023.

Editing deprecated API knowledge in code models
Code	Start date	Value	Contact
3174	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Xiaoning Du Email: Xiaoning.Du@monash.edu
Prerequisites (HD WAM) OR ((research experience in deep learning/NLP) AND (D WAM)). Be familiar with PyTorch and TensorFlow. Be familiar with https://huggingface.co/, as a part of the implementations and experiments will rely on this library. Be familiar with the listed datasets, models and tasks. Have interests in code intelligence and NLP.
Applications Applications closed on Friday, 19 May 2023.

Pair coding between ChatGPT and code generative models
Code	Start date	Value	Contact
3175	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Xiaoning Du Email: Xiaoning.Du@monash.edu
Prerequisites (HD WAM) OR ((research experience in deep learning/NLP) AND (D WAM)). Be familiar with PyTorch and TensorFlow. Be familiar with https://huggingface.co/, as a part of the implementations and experiments will rely on this library. Be familiar with the listed datasets, models and tasks. Have interests in code intelligence and NLP.
Applications Applications closed on Friday, 19 May 2023.

Automated project-level code completion via Large Language Models
Code	Start date	Value	Contact
3176	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Xiaoning Du Email: Xiaoning.Du@monash.edu
Prerequisites (HD WAM) OR ((research experience in deep learning/NLP) AND (D WAM)). Be familiar with PyTorch and TensorFlow. Be familiar with the listed datasets, models and tasks. Have interests in code intelligence and NLP.
Applications Applications closed on Friday, 19 May 2023.

A conditional watermarking for generative code models
Code	Start date	Value	Contact
3177	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Xiaoning Du Email: Xiaoning.Du@monash.edu
Applications Applications closed on Friday, 19 May 2023.

Historical Map of Melbourne
Code	Start date	Value	Contact
3210	26 June 2023	$2400 ($600 x 4 weeks)	Assoc Prof David Taniar Email: david.taniar@monash.edu
Prerequisites Must have experience in QGIS, PostGIS, and OSM
Additional details Description: to develop a historical map of Melbourne to show the changes of roads (due to new roads) year-to-year from 1966 till present.
Applications Applications closed on Friday, 19 May 2023.

Edge-compute removal of backgrounds from insect tracking videos
Code	Start date	Value	Contact
3211	26 June 2023	$2400 ($600 x 4 weeks)	Adel N. Toosi Email: adel.n.toosi@monash.edu Phone: 0435213759 Research profile: Adel N. Toosi More information about project #3211
Prerequisites Computer programming (e.g. C++ Python or other languages) and experience with basic image processing, An interest (but not necessarily formal qualifications) in ecology, insects, plants, sustainability or food production, Linux Shell Scripting, Experience of working with Raspberry Pis is a plus.
Additional details Please contact the supervisor before submitting an application for an interview.
Applications Applications closed on Friday, 19 May 2023.

Privacy-preserving Content Moderation for Encrypted Traffic
Code	Start date	Value	Contact
3213	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Xingliang Yuan Email: xingliang.yuan@monash.edu Phone: 0403720358 Research profile: Dr Xingliang Yuan
Applications Applications closed on Friday, 19 May 2023.

Volcanic Hazard Maps with Unity
Code	Start date	Value	Contact
3215	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Assoc. Professor Bernie Jenny and Kadek Satriadi Email: bernie.jenny@monash.edu Research profile: Assoc. Professor Bernie Jenny and Kadek Satriadi More information about project #3215
Prerequisites Third-year computer science student or a related field with experience in Unity, and completed units using Unity. Strong interest in maps, geospatial information visualization and 3D visualization needed. Candidates with background or interest in geology and volcanology are preferred.
Additional details Shared supervision by Kadek Satriadi and Bernie Jenny
Applications Applications closed on Friday, 19 May 2023.

Designing Inclusive Journeys Through the State Library of Victoria
Code	Start date	Value	Contact
3216	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Associate Professor Matthew Butler Email: matthew.butler@monash.edu Research profile: Associate Professor Matthew Butler More information about project #3216
Prerequisites The project seeks to improve visitation to the State Library by blind/low-vision people. It will prototype tech-based artefacts for access and engagement with architecture, historical content and social dimensions of spaces. It would suit those with skills in mobile apps, 3D printing, & maker tech.
Additional details If shortlisted, interviews will take place via Zoom at a negotiated time. The student must be able to visit the State Library in the city with some regularity, as well as spend most time working in the Inclusive Tech lab on the Clayton campus.
Applications Applications closed on Friday, 19 May 2023.

Developing Accessible Toolkits for Designing Inclusive Museum and Gallery Experiences
Code	Start date	Value	Contact
3218	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Associate Professor Matthew Butler Email: matthew.butler@monash.edu Research profile: Associate Professor Matthew Butler More information about project #3218
Prerequisites The project seeks to convert a physical card-based Inclusive Design Tool Kit into an accessible digital version using web technologies. Students will need experience with graphics and web technologies in order to deploy on computers and mobile devices.
Additional details If shortlisted, interviews will take place via Zoom at a negotiated time. The student must be able to spend some time working in the Inclusive Tech lab on the Clayton campus, co-supervised by project team members.
Applications Applications closed on Friday, 19 May 2023.

Exploring AI Tools for Developing Accessible Content for Blind and Low-Vision People
Code	Start date	Value	Contact
3219	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Associate Professor Matthew Butler Email: matthew.butler@monash.edu Research profile: Associate Professor Matthew Butler More information about project #3219
Prerequisites The project seeks to explore the use of emerging AI tools such as Chat GPT for creating content accessible to people who are blind or have low vision through multi-modalities. Students will need some experience or confidence in the use of emerging AI tools, including APIs etc where appropriate.
Additional details If shortlisted, interviews will take place via Zoom at a negotiated time. The student must be able to spend some time working in the Inclusive Tech lab on the Clayton campus.
Applications Applications closed on Friday, 19 May 2023.

Connected Cars: Computational Models for Time-Critical Safety Applications
Code	Start date	Value	Contact
3220	26 June 2023	$2400 ($600 x 4 weeks)	Dr Adel N. Toosi Email: adel.n.toosi@monash.edu Phone: 0399059635 Research profile: Dr Adel N. Toosi More information about project #3220
Prerequisites Solid programming skills in Python Linux shell scripting skills Basic knowledge of distributed systems and computer networks Basic software engineering skills
Additional details Please contact supervisor before putting an application
Applications Applications closed on Friday, 19 May 2023.

Software Systems for Green Cloud Computing
Code	Start date	Value	Contact
3221	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Adel N. Toosi Email: adel.n.toosi@monash.edu Phone: 0399059635 Research profile: Dr Adel N. Toosi More information about project #3221
Prerequisites Strong working knowledge of Linux Operating System and Linux Shell Scripting. Basic understanding of distributed systems and networks. Familiarity with OpenStack is a plus. Proficiency in basic Python programming.
Additional details To ensure the success of your application, it is recommended that you schedule an interview with the project supervisor before submitting it.
Applications Applications closed on Friday, 19 May 2023.

Terrain Bender: An Authoring Tool for 3D Maps
Code	Start date	Value	Contact
3222	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Associate Professor Bernie Jenny Email: bernie.jenny@monash.edu Research profile: Associate Professor Bernie Jenny More information about project #3222
Prerequisites Strong interest in 3D programming, experience with Metal (preferred), OpenGL or a similar low-level rendering API is required. Knowledge of the Swift programming language is required, experience with the SwiftUI API is preferred. Interest in 3D maps and 3D visualisation.
Additional details For details, see https://docs.google.com/document/d/1_4rLa4vRk-gxRbmqAGNSUqrnmUH0FXDhXIpOn5GQr50/edit?usp=sharing
Applications Applications closed on Friday, 19 May 2023.

Virtual Reality Atlas of Immersive Australian Landscapes
Code	Start date	Value	Contact
3223	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Associate Professor Bernie Jenny Email: bernie.jenny@monash.edu Research profile: Associate Professor Bernie Jenny More information about project #3223
Prerequisites Third-year computer science student or a related field with experience in Unity and 3D modelling. Candidates with an interest in ecosystems, biodiversity and ecology are preferred.
Applications Applications closed on Friday, 19 May 2023.

Making eMaking Accessible for People with Intellectual Disabilities
Code	Start date	Value	Contact
3224	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Kirsten Ellis Email: Kirsten.Ellis@monash.edu Phone: (03)99047132 Research profile: Dr Kirsten Ellis
Prerequisites Students with a range of technical, creative and interpersonal skills are required. A willingness to learn new things and collaborate with others on campus is preferred. Students will be working with people with intellectual disabilities and developing designs, documents and videos.
Additional details You will be co-designing eMaking activities for people with intellectual disabilities. This includes working with people with intellectual disabilities, developing activities to engage them in modelling, eTextiles, construction, robots, programming, 3D printing and electronics.
Applications Applications closed on Friday, 19 May 2023.

Hacking to create accessible toys and games controllers
Code	Start date	Value	Contact
3226	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Kirsten Ellis Email: Kirsten.Ellis@monash.edu Phone: (03)99047132 Research profile: Dr Kirsten Ellis
Prerequisites Students with a range of skills required including programming, engineering, occupational therapy and educational backgrounds as well as design students and students with 3D printing skills.
Additional details This project will involve hacking toys to make them accessible for children with motor disabilities.
Applications Applications closed on Friday, 19 May 2023.

Hands on STEM for people with disabilities
Code	Start date	Value	Contact
3227	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Kirsten Ellis Email: Kirsten.Ellis@monash.edu Phone: (03)99047132 Research profile: Dr Kirsten Ellis
Prerequisites This project will require students to work on Clayton campus in the Faculty of Information Technology inclusive maker space and on site at a disability support organisation. Creative and technical skills will be required in addition to a willingness to work with people with disabilities.
Additional details Students will be collaborating with people living with a disability and their supporters to facilitate the building of capacity in the delivery of STEM engagement activities. This will include facilitation of sessions, preparations of activities and training of others.
Applications Applications closed on Friday, 19 May 2023.

Making assistive technologies
Code	Start date	Value	Contact
3228	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Kirsten Ellis Email: Kirsten.Ellis@monash.edu Phone: (03)99047132 Research profile: Dr Kirsten Ellis
Prerequisites Information technology, design, engineering, occupational therapy and 3D printing skills would be useful for this project.
Additional details Students will be working with a disability support organisation to create bespoke technologies for people with a range of intellectual and physical disabilities.
Applications Applications closed on Friday, 19 May 2023.

High-Performance Branch-and-Bound Optimization Solver
Code	Start date	Value	Contact
3229	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Edward Lam Email: edward.lam@monash.edu Research profile: Dr Edward Lam More information about project #3229
Prerequisites You must already know mixed integer linear programming, branch-and-bound, algorithms and data structures, and one of C, C++ or Rust programming languages. Interest in high-performance computing, MTH3330 and MTH4333 are beneficial.
Additional details This project will be implementing a high-performance branch-and-cut-and-price solver for mixed integer programming to solve transport and logistics decision-support problems. The solver will include branch-and-bound, column generation and cutting planes.
Applications Applications closed on Friday, 19 May 2023.

Overview of Cyber Threats and Cyberlaw Compliance in Victoria Water Sector
Code	Start date	Value	Contact
3230	26 June 2023	$2400 ($600 x 4 weeks)	Dr Hui Cui Email: hui.cui@monash.edu Phone: 61405413611
Prerequisites Students majoring in cybersecurity and law
Applications Applications closed on Friday, 19 May 2023.

Visualization of Vehicle Routes
Code	Start date	Value	Contact
3231	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Edward Lam Email: edward.lam@monash.edu Research profile: Dr Edward Lam More information about project #3231
Prerequisites Algorithms and data structures required. Some programming language required, preferably C, C++ or Rust. Any experience in visualization or plotting is beneficial.
Additional details This project will be developing code to show vehicle routes. We have developed algorithms to find fast and efficient routes for vehicles to deliver goods to customers. Now we need to be able to see them on a plot.
Applications Applications closed on Friday, 19 May 2023.

Moving to Remember Together
Code	Start date	Value	Contact
3232	26 June 2023 (negotiable)	$1600 ($400 x 4 weeks)	Florian 'Floyd' Mueller Email: nathalie.overdevest@monash.edu Research profile: Florian 'Floyd' Mueller
Prerequisites Must have experience with performing semi-structured interviews (incl. arranging & processing recordings). Product/interaction design experience preferred.
Additional details If shortlisted, you will be asked to visit Exertion Games Lab for an interview between May 8th-19th.
Applications Applications closed on Friday, 19 May 2023.

Supporting Document Annotation
Code	Start date	Value	Contact
3233	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Reuben Kirkham Email: reuben.kirkham@monash.edu Research profile: Dr Reuben Kirkham More information about project #3233
Prerequisites Interest in AI or HCI
Additional details I'm happy to have informal discussions, please get in touch.
Applications Applications closed on Friday, 19 May 2023.

Creating media to support neurodivergent folk to not lose personal
Code	Start date	Value	Contact
3234	26 June 2023	$2400 ($600 x 4 weeks)	Dr Reuben Kirkham / Ben Phua Email: reuben.kirkham@monash.edu More information about project #3234
Prerequisites See advertisement. We particularly encourage people with lived experience of disability to apply.
Additional details We may do informal interviews, depending on the number of applications.
Applications Applications closed on Friday, 19 May 2023.

Sampling Bayesian Neural Networks
Code	Start date	Value	Contact
3235	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Daniel Schmidt Email: daniel.schmidt@monash.edu Research profile: Dr Daniel Schmidt
Prerequisites Third year computer science students or Masters Students, must have some experience using TensorFlow or PyTorch and have completed FIT2086/FIT5197.
Additional details This project will involve implementing an existing algorithm for Bayesian posterior sampling within the PyTorch or TensorFlow framework. Some experience with probability/statistics is required. If shortlisted, you will be required to attend an interview.
Applications Applications closed on Friday, 19 May 2023.

SCIP-based Metric Hybrid Planner
Code	Start date	Value	Contact
3236	20 November 2023 (negotiable)	$7200 ($600 x 12 weeks)	Dr Buser Say Email: buser.say@monash.edu Research profile: Dr Buser Say More information about project #3236
Prerequisites Computer Science background with experience to work with automated planners.
Additional details If shortlisted you are required to attend an interview.
Applications Applications closed on Friday, 25 August 2023.

Bridge Cheating Detection Based on Deep learning
Code	Start date	Value	Contact
3237	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Qiuhong Ke Email: qiuhong.ke@monash.edu Research profile: Dr Qiuhong Ke More information about project #3237
Prerequisites Students with machine learning/deep learning knowledges and experience will be preferred.
Additional details If shortlisted you are required to attend an interview.
Applications Applications closed on Friday, 19 May 2023.

Haptic Batting VR - a virtual reality training simulation for skills acquisition
Code	Start date	Value	Contact
3238	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Mr Jim Smiley Email: jim.smiley@monash.edu
Prerequisites Students with skills in 3d modelling, character animation and/or game development. FIT2098 or FIT3145 suggested prerequisites, but not mandatory.
Additional details Depending on the student, this project may involve any combination of: working on a VR application in Unity, motion capture and character animation, hardware design and environment, character and asset creation.
Applications Applications closed on Friday, 19 May 2023.

People with diabetes' experience with a telehealth program in Malaysia
Code	Start date	Value	Contact
3239	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Jessica Watterson Email: jessica.watterson@monash.edu Research profile: Dr Jessica Watterson More information about project #3239
Prerequisites - Learn and undertake analysis of qualitative and quantitative data No previous experience required, just an enthusiasm to learn new skills All disciplines are welcome, but an interest in health or social science is particularly encouraged
Additional details If shortlisted, you will be asked to attend an interview prior to selection. This project will help you to develop research skills while supporting a meaningful digital health project with the aim of improving people with diabetes' health in Malaysia.
Applications Applications closed on Friday, 19 May 2023.

Collating and benchmarking very large datasets for time series classification
Code	Start date	Value	Contact
3240	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Professor Geoff Webb Email: angus.dempster1@monash.edu Research profile: Professor Geoff Webb
Prerequisites Experience with Python, some experience with machine learning and using machine learning libraries, e.g., scikit-learn, PyTorch, etc
Additional details This project would involve finding very large (100,000+ training examples) datasets to form part of a new benchmark for time series classification, including finding data sources, processing and labelling time series, and benchmarking various machine learning methods on those datasets
Applications Applications closed on Friday, 19 May 2023.

MATLAB implementation of the ROCKET and HYDRA time series classification algorithms
Code	Start date	Value	Contact
3241	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Daniel Schmidt Email: angus.dempster1@monash.edu Research profile: Dr Daniel Schmidt
Prerequisites Experience with MATLAB and Python, at least some experience with machine learning and using machine learning libraries, e.g., scikit-learn, PyTorch, etc
Additional details This project would involve completing a (currently partly-finished) MATLAB implementation of the ROCKET and HYDRA time series classification algorithms (implemented in Python), with a focus on achieving equivalent results and compute times between the MATLAB and Python implementations
Applications Applications closed on Friday, 19 May 2023.

Exploring Role of Technology to Support Disability Evidence Collection
Code	Start date	Value	Contact
3242	26 June 2023	$2400 ($600 x 4 weeks)	Dr Reuben Kirkham / Pranav Kulkarni Email: reuben.kirkham@monash.edu More information about project #3242
Additional details We plan to conduct informal interviews to short-list.
Applications Applications closed on Friday, 19 May 2023.

Supporting Blind Students’ Access to Mathematics
Code	Start date	Value	Contact
3243	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Associate Professor Matthew Butler Email: matthew.butler@monash.edu Research profile: Associate Professor Matthew Butler More information about project #3243
Prerequisites The project seeks to develop web-based tools to support blind students access to mathematics, and support better collaboration between the students and teachers/peers. MathJax (mathjax.org) will be used therefore students will need experience or confidence in web programming, JavaScript and APIs.
Additional details If shortlisted, interviews will take place via Zoom at a negotiated time. The student must be able to spend some time working in the Inclusive Tech lab on the Clayton campus.
Applications Applications closed on Friday, 19 May 2023.

Analysis of Human behaviour in times of high-impact events
Code	Start date	Value	Contact
3244	1 July 2023 (negotiable)	$1500 ($500 x 3 weeks)	Dr Benjamin Tag Email: benjamin.tag@monash.edu Research profile: Dr Benjamin Tag
Prerequisites Experience in Data Analysis, Sufficient Skill in R or Python, Interest in Human Behaviour
Additional details If shortlisted, you are required to share your CV and attend an interview (online), presenting a project where you have used data analysis to solve a problem or answer a question. This interview will be scheduled for the last week of June.
Applications Applications closed on Friday, 19 May 2023.

Emotion Data Collection on the Apple Watch
Code	Start date	Value	Contact
3245	1 July 2023 (negotiable)	$1500 ($500 x 3 weeks)	Dr Benjamin Tag Email: benjamin.tag@monash.edu Research profile: Dr Benjamin Tag
Prerequisites Strong Swift Programming Skills
Additional details If shortlisted, you are required to share your CV and attend an interview (online), presenting a project where you have used data analysis to solve a problem or answer a question. This interview will be scheduled for the last week of June.
Applications Applications closed on Friday, 19 May 2023.

Designing real life Pinocchio as an embodied experience
Code	Start date	Value	Contact
3246	3 July 2023 (negotiable)	$1800 ($600 x 3 weeks)	Professor Florian 'Floyd' Mueller Email: aryan.saini@monash.edu Phone: 0424242908 Research profile: Professor Florian 'Floyd' Mueller More information about project #3246
Prerequisites 1. Familiarity with Arduino/Raspberry Pi 2. Familiarity with programming in python/C 3. Willingness to learn
Additional details The student will be tasked with creating a body augmentation to imitate the Pinocchio’s nose from the popular story using pneumatics. The student will be hacking a polygraph to create a system that moves our body to facilitate a novel interaction. This work may result in a publication at UIST’23.
Applications Applications closed on Friday, 19 May 2023.

Using Behavioural Biometrics to Detect Emotions
Code	Start date	Value	Contact
3247	1 July 2023 (negotiable)	$1500 ($500 x 3 weeks)	Dr Benjamin Tag Email: benjamin.tag@monash.edu Research profile: Dr Benjamin Tag
Prerequisites Mobile Computing, Sensing, Data Analysis
Additional details If shortlisted, you will be asked to submit your CV and present a short project in an online interview displaying your skill set.
Applications Applications closed on Friday, 19 May 2023.

A Computer Vision Project: Generalized Learning for Image-based Planning
Code	Start date	Value	Contact
3248	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Buser Say Email: buser.say@monash.edu Research profile: Dr Buser Say More information about project #3248
Prerequisites Computer Science background with experience in sequential decision making and/or optimisation
Additional details If shortlisted you are required to attend an interview.
Applications Applications closed on Friday, 19 May 2023.

Investigation of archival terminology used in the German-speaking Swiss cantons
Code	Start date	Value	Contact
3250	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Viviane Hessami Email: viviane.hessami@monash.edu Research profile: Dr Viviane Hessami
Prerequisites Must be fluent in German and familiar with archival terminology. Applicants should have completed FIT5107 or FIT5206 or have experience working in an archival institution.
Additional details Shortlisted candidates will be required to attend an interview.
Applications Applications closed on Friday, 19 May 2023.

Modelling Occupancy of Monash Buildings using CO2 Sensor Data
Code	Start date	Value	Contact
3251	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	POOIA LALBAKHSH Email: pooia.lalbakhsh@monash.edu Phone: 0403736845 Research profile: POOIA LALBAKHSH
Prerequisites Third-year computer science students, preferably with Python, R, or Java programming experience.
Additional details The applicants need to be familiar with data analytics techniques and machine learning modelling. An interview will be conducted for this opportunity.
Applications Applications closed on Friday, 19 May 2023.

State-based Behaviour for Energy Components in Smart Grids
Code	Start date	Value	Contact
3252	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	POOIA LALBAKHSH Email: pooia.lalbakhsh@monash.edu Phone: 0403736845 Research profile: POOIA LALBAKHSH
Prerequisites Third-year computer science students. The student needs to have Java programming experience.
Additional details The student need to be familiar with OOP fundamentals and Java Programming. A technical interview will be conducted for this project.
Applications Applications closed on Friday, 19 May 2023.

Optimizing Healthcare Workflow with ChatGPT-Enabled Patient Information Collection
Code	Start date	Value	Contact
3253	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Chunyang Chen, Dr Xiao Chen, Mr Andy Li Email: xiao.chen@monash.edu Research profile: Dr Chunyang Chen, Dr Xiao Chen, Mr Andy Li
Prerequisites Strong web development skills. Strong programming skills in Python/Java, JavaScript. Experience in natural language processing, machine learning, or healthcare IT is a plus.
Additional details Interview required if shortlisted.
Applications Applications closed on Friday, 19 May 2023.

Using ChatGPT to Replace Human in Testing
Code	Start date	Value	Contact
3254	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Chunyang Chen Email: chunyang.chen@monash.edu Research profile: Dr Chunyang Chen More information about project #3254
Prerequisites Python programming, Android app development, basic knowledge about NLP/DL is a plus
Additional details Please put your resume into Google Drive and share a link with me in the application
Applications Applications closed on Friday, 19 May 2023.

Ensuring Mobile App Accessibility with GPT-4
Code	Start date	Value	Contact
3255	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Chunyang Chen Email: chunyang.chen@monash.edu Research profile: Dr Chunyang Chen More information about project #3255
Prerequisites Python programming, Android app development, basic knowledge about NLP/DL is a plus
Additional details Please put your resume into Google Drive and share a link with me in the application
Applications Applications closed on Friday, 19 May 2023.

Robustness of ChatGPT/LLM testing
Code	Start date	Value	Contact
3256	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Chunyang Chen Email: chunyang.chen@monash.edu Research profile: Dr Chunyang Chen More information about project #3256
Prerequisites Python programming, basic knowledge about NLP/DL
Additional details Please put your resume into Google Drive and share a link with me in the application, and we expect candidates with high GPA or relevant experience. Note that we will you to quickly apply different techniques to test ChatGPT or other Large language models. So, you should be very good at programming.
Applications Applications closed on Friday, 19 May 2023.

Deep learning-based medical image segmentation
Code	Start date	Value	Contact
3257	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Professor Jianfei Cai Email: jianfei.cai@monash.edu Research profile: Professor Jianfei Cai
Prerequisites The student must have knowledge and experience of deep learning (e.g. have completed online Stanford deep learning, and/or computer vision-related courses or have done projects at Monash DeepNeuron https://www.deepneuron.org/) and is skilful in Python programming.
Additional details The objective of this project is to apply state-of-the-art deep learning-based image segmentation networks such as U-Net or V-Net for segmenting lesions or tumours in CT or MRI images. It is a good practice for students who wish to pursue further study at a postgraduate/PhD level.
Applications Applications closed on Friday, 19 May 2023.

GPS traces of moving vehicles
Code	Start date	Value	Contact
3259	26 June 2023	$2000 ($500 x 4 weeks)	Associate Professor David Taniar Email: david.taniar@monash.edu More information about project #3259
Prerequisites Very strong Python programming skills, and knowledge on SQL
Additional details Vehicle movements are stored as trajectories in a database management system. Because of GPS inaccuracy, some movements of vehicles may not be correctly recorded. The project will analyse and repair inaccurate GPS traces of moving vehicles.
Applications Applications closed on Friday, 19 May 2023.

Sharpen the Scalpel - Static program analysis for Python language
Code	Start date	Value	Contact
3261	26 June 2023 (negotiable)	$1920 ($480 x 4 weeks)	Dr Xiaoning Du Email: jiawei.wang1@monash.edu More information about project #3261
Prerequisites Strong Python programming experience is required and preferably with compiler theory knowledge.
Applications Applications closed on Friday, 19 May 2023.

Allocating teaching staff to units: Information Systems Analysis
Code	Start date	Value	Contact
3262	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Professor Helen Purchase Email: helen.purchase@monash.edu
Prerequisites Essential: Information Systems student (third year or MSc) Desirable: experience in conducting interviews and analysing qualitative data This project does not entail any programming; the student will analyse the complex process of allocating teaching staff to units in the Faculty.
Additional details The expected output of this IS project is a report on the constraints, processes, deadlines, information flows, requirements etc. used during the process of allocating teaching staff to taught units within the Faculty. If shortlisted, you will be required to attend an interview during May.
Applications Applications closed on Friday, 19 May 2023.

School Teacher and Parent Communication
Code	Start date	Value	Contact
3263	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Anuradha Madugalla Email: anu.madugalla@monash.edu Research profile: Dr Anuradha Madugalla More information about project #3263
Prerequisites Experience in working with real users (not a must)
Additional details If shortlisted you are required to attend an interview
Applications Applications closed on Friday, 19 May 2023.

Generative AI and Accessibility
Code	Start date	Value	Contact
3264	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Anuradha Madugalla Email: anu.madugalla@monash.edu Research profile: Dr Anuradha Madugalla More information about project #3264
Prerequisites Expertise in programming (e.g. Python), Experience in web scraping (not a must), Machine learning/Deep learning and NLP (good to have)
Additional details If shortlisted you are required to attend an interview
Applications Applications closed on Friday, 19 May 2023.

Hierarchical Reinforcement Learning with LTLf Objectives
Code	Start date	Value	Contact
3265	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Dr Julian Gutierrez
Prerequisites Knowledge of Python, Reinforcement Learning, Temporal Logics, and Automata.
Additional details A short and informal interview may be needed.
Applications Applications closed on Friday, 19 May 2023.

Evaluating Quasi-Polynomial Algorithms for Parity games
Code	Start date	Value	Contact
3266	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Dr Julian Gutierrez
Prerequisites Excellent maths skills. Knowledge of Python or C++ is desirable.
Additional details A short and informal interview may be needed.
Applications Applications closed on Friday, 19 May 2023.

Evaluating Matrix-Based Algorithms for Parity Games
Code	Start date	Value	Contact
3267	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Dr Julian Gutierrez
Prerequisites Excellent Maths skills. Knowledge of Python and/or C++ is desirable.
Additional details A short and informal interview may be needed.
Applications Applications closed on Friday, 19 May 2023.

Evaluating New Approximation Algorithms for Parity Games
Code	Start date	Value	Contact
3268	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Dr Julian Gutierrez
Prerequisites Excellent Maths skills. Knowledge of Python and/or C++ is desirable.
Additional details A short and informal interview may be needed.
Applications Applications closed on Friday, 19 May 2023.

Practical Evaluation of ALMANAC
Code	Start date	Value	Contact
3269	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Dr Julian Gutierrez
Prerequisites Reinforcement Learning, Temporal Logics, Automata, and Python.
Additional details A short and informal interview may be needed.
Applications Applications closed on Friday, 19 May 2023.

Enhancing Generative AI with Real-Time Sensory Data for Food Intake Recommendations
Code	Start date	Value	Contact
3270	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Dr Pari Delir Haghighi Email: pari.delir.haghighi@monash.edu Phone: 0401037106 Research profile: Dr Pari Delir Haghighi More information about project #3270
Prerequisites - Familiarity with Generative AI and prompt engineering Mobile development skills (Android preferred) Knowledge of collecting and processing sensory data
Applications Applications closed on Friday, 19 May 2023.

Dynamic Query Generation based on Situation Inference and Transitions for IoT Applications
Code	Start date	Value	Contact
3271	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Dr Pari Delir Haghighi Email: pari.delir.haghighi@monash.edu Phone: 0401037106 Research profile: Dr Pari Delir Haghighi More information about project #3271
Prerequisites Web development (html.css/JavaScript) skills Familiar with Nodejs Python OS: Linux/ios NoSQL databases
Applications Applications closed on Friday, 19 May 2023.

Exploring the Potential of Causal Reinforcement Learning for Active Cyber Defence
Code	Start date	Value	Contact
3272	26 June 2023 (negotiable)	$1600 ($400 x 4 weeks)	Dr Viet Huynh Email: viet.huynh@monash.edu Research profile: Dr Viet Huynh
Prerequisites Master students with interests in research of applying AI into cyber security.
Applications Applications closed on Friday, 19 May 2023.

Swipe based dietary assessment: a predictive model of dietary recall
Code	Start date	Value	Contact
3273	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Professor Patrick Olivier Email: patrick.olivier@monash.edu Phone: 0422082091 Research profile: Professor Patrick Olivier More information about project #3273
Prerequisites Good understanding of statistics; basic programming skills (ideal for a data scientist)
Additional details If shortlisted you are required to attend a Zoom interview between 1 May and 20 May 2023.
Applications Applications closed on Friday, 19 May 2023.

Case-based medical training using a novel Slack application
Code	Start date	Value	Contact
3274	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Professor Patrick Olivier Email: patrick.olivier@monash.edu Phone: 0422082091 Research profile: Professor Patrick Olivier More information about project #3274
Prerequisites Medicine or biological science knowledge as the project involves developing learning cases for the novel classroom activities.
Additional details If shortlisted, you are required to attend an interview between 1-30 May 2023
Applications Applications closed on Friday, 19 May 2023.

Game Theory in Minizinc
Code	Start date	Value	Contact
3275	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Julian Gutierrez Email: julian.gutierrez@monash.edu Research profile: Dr Julian Gutierrez
Prerequisites Minizinc, Game Theory
Applications Applications closed on Friday, 19 May 2023.

Game theory in self-defence
Code	Start date	Value	Contact
3276	20 November 2023 (negotiable)	$4800 ($400 x 12 weeks)	Assoc. Prof. David L Dowe Email: david.dowe@monash.edu Research profile: Assoc. Prof. David L Dowe More information about project #3276
Prerequisites At least an interest in mathematics, computer programming and the project as specified.
Additional details When applying, prospective applicants should mention their skills/background and experience (including subjects studied) in mathematics, computer programming and anything else which they deem relevant.
Applications Applications closed on Friday, 25 August 2023.

Game theory in self-defence
Code	Start date	Value	Contact
3277	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Assoc. Prof. David L DOWE Email: david.dowe@monash.edu Research profile: Assoc. Prof. David L DOWE More information about project #3277
Prerequisites At least an interest in mathematics, computer programming and the project as specified.
Additional details When applying, prospective applicants should mention their skills/background and experience (including subjects studied) in mathematics, computer programming and anything else which they deem relevant.
Applications Applications closed on Friday, 19 May 2023.

Modelling electric vehicle charging behaviour: data analytics and case studies
Code	Start date	Value	Contact
3278	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Hao Wang Email: hao.wang2@monash.edu Research profile: Dr Hao Wang
Prerequisites IT/CS students preferably with strong programming skills in Python.
Additional details If shortlisted you may be required to attend an interview
Applications Applications closed on Friday, 19 May 2023.

Discovering energy consumer flexibility and activities using meter data
Code	Start date	Value	Contact
3279	26 June 2023 (negotiable)	$2400 ($600 x 4 weeks)	Dr Hao Wang Email: hao.wang2@monash.edu Research profile: Dr Hao Wang
Prerequisites IT/CS students preferably with strong programming skills in Python.
Additional details If shortlisted you may be required to attend an interview.
Applications Applications closed on Friday, 19 May 2023.

Automated Discourse Analysis via Generative AI
Code	Start date	Value	Contact
3282	26 June 2023 (negotiable)	$1600 ($400 x 4 weeks)	Zachari Swiecki, PhD Email: zach.swiecki@monash.edu Research profile: Zachari Swiecki, PhD More information about project #3282
Prerequisites Programming experience. R preferred. NLP experience preferred.
Additional details If shortlisted interview required two weeks prior to start date.
Applications Applications closed on Friday, 19 May 2023.

Open-world object detection
Code	Start date	Value	Contact
3283	26 June 2023 (negotiable)	$2000 ($500 x 4 weeks)	Dr. Hamid Rezatofighi Email: hamid.rezatofighi@monash.edu Phone: 99052059 Research profile: Dr. Hamid Rezatofighi
Prerequisites Third-year computer science students or higher, experience working with deep learning and computer vision, esp. object detection.
Applications Applications closed on Friday, 19 May 2023.

Software development integrating participatory GIS and media for Fisherfolks in Bangladesh
Code	Start date	Value	Contact
3433	20 November 2023 (negotiable)	$7200 ($600 x 12 weeks)	Dr Md Khalid Hossain Email: md.khalid.hossain@monash.edu Research profile: Dr Md Khalid Hossain More information about project #3433
Prerequisites Third-year information technology or computer science students with native Android development experience and knowledge of iOS app and cross-platform development
Additional details We are proposing to co-create a prototype software with the fisherfolks in Bangladesh to systematically capture, preserve and share information and knowledge within the fisherfolks community. The student will support the research team in this regard.
Applications Applications closed on Friday, 25 August 2023.

Using ChatGPT to Replace Human in Testing
Code	Start date	Value	Contact
3434	20 November 2023 (negotiable)	$2400 ($200 x 12 weeks)	Chunyang Chen Email: chunyang.chen@monash.edu Research profile: Chunyang Chen More information about project #3434
Prerequisites 1. Great programming capability 2. Android app development 3. Deep Learning, NLP, prompt engineering is a plus
Additional details Please share your CV or relevant material with me in the application (Google Drive Link)
Applications Applications closed on Friday, 25 August 2023.

Secure and Trustworthy Network Functions
Code	Start date	Value	Contact
3437	20 November 2023	$7200 ($600 x 12 weeks)	Dr Xingliang Yuan Email: xingliang.yuan@monash.edu
Applications Applications closed on Friday, 25 August 2023.

Constructing better datasets of software vulnerabilities
Code	Start date	Value	Contact
3453	20 November 2023 (negotiable)	$6000 ($500 x 12 weeks)	Dr Xiaoning Du Email: xiaoning.du@monash.edu Research profile: Dr Xiaoning Du
Prerequisites C/C++, LLM, NLP
Applications Applications closed on Friday, 25 August 2023.

Exploring immediate representations for Python dataflow analysis
Code	Start date	Value	Contact
3469	20 November 2023 (negotiable)	$6000 ($500 x 12 weeks)	Dr Xiaoning Du Email: xiaoning.du@monash.edu Research profile: Dr Xiaoning Du
Prerequisites Static program analysis
Applications Applications closed on Friday, 25 August 2023.

Human-centric issues in Emergency applications
Code	Start date	Value	Contact
3470	20 November 2023 (negotiable)	$7200 ($600 x 12 weeks)	Anuradha Madugalla Email: anu.madugalla@monash.edu Research profile: Anuradha Madugalla More information about project #3470
Prerequisites Coding expertise, Expertise in NLP, Knowledge in using latest LLM models e.g Roberto
Additional details If shortlisted you are required to attend an interview.
Applications Applications closed on Friday, 25 August 2023.

Navigation for Diverse Groups
Code	Start date	Value	Contact
3471	20 November 2023 (negotiable)	$7200 ($600 x 12 weeks)	Dr Anuradha Madugalla Email: anu.madugalla@monash.edu Research profile: Dr Anuradha Madugalla More information about project #3471
Prerequisites Willingness to read papers and extract information. Summarise and write up the findings. Interest in learning about how maps work for vulnerable groups.
Additional details If shortlisted you are required to attend an interview
Applications Applications closed on Friday, 25 August 2023.

Container Orchestration for Optimized Renewable Energy Use in Clouds
Code	Start date	Value	Contact
3473	20 November 2023 (negotiable)	$7200 ($600 x 12 weeks)	Adel N. Toosi Email: adel.n.toosi@monash.edu Research profile: Adel N. Toosi More information about project #3473
Prerequisites Strong programming skills preferably in Java and Python. Basic knowledge of distributed systems and cloud computing. Knowledge and familiarity with Kubernetes or Docker Swarm are a plus.
Additional details Please contact the project supervisor between 7 - 10 days before submission of your application for an interview!
Applications Applications closed on Friday, 25 August 2023.

Role of Culture in Parent and Teacher Communication with Digital Tools
Code	Start date	Value	Contact
3475	20 November 2023 (negotiable)	$4800 ($400 x 12 weeks)	Dr Tanjila Kanij Email: tanjila.kanij@monash.edu Research profile: Dr Tanjila Kanij More information about project #3475
Prerequisites Computer Science students with good communication skills.
Applications Applications closed on Friday, 25 August 2023.

A Visual Debugger for Pathfinding Search
Code	Start date	Value	Contact
3476	20 November 2023 (negotiable)	$6000 ($500 x 12 weeks)	Associate Professor Michael Wybrow Email: michael.wybrow@monash.edu Research profile: Associate Professor Michael Wybrow More information about project #3476
Prerequisites Pathfinding experience. Strong programming skills, and some experience with JavaScript and React.
Additional details If you are shortlisted, you are required to attend a short interview with the project supervisors.
Applications Applications closed on Friday, 25 August 2023.

Research and Application of Multi-Agent Path-Finding Problems
Code	Start date	Value	Contact
3477	20 November 2023 (negotiable)	$6000 ($500 x 12 weeks)	Associate Professor Daniel Harabor; Mr. Zhe Chen Email: zhe.chen@monash.edu Phone: +61 3 99034334 Research profile: Associate Professor Daniel Harabor; Mr. Zhe Chen
Prerequisites Good at algorithms and data structures. Preferably with C++ programming experience. Familiar with search algorithms, like Dijkstra and A-Star algorithms. If interested in tracking MAPF SOTA project, javascript(especially ReactJS) and web develop skills preferred.
Additional details Multi-agent path finding (MAPF) is a coordination problem where we need to find collision-free paths that can navigate a group of agents to their goal locations. The problem itself is proved to be NP-Hard for finding an optimal solution. Researchers spend years of effort to tackle the problem and improve the efficiency of solving the problem. Yet planning paths is just the first step. To operate on real robots, we need to tackle difficulties that include geometric constraints (the agents have size), kinematic constraints (the agents have speed), imperfect executions, and various operational limitations. Additionally, with more and more MAPF-related research being published across different venues, tracking the state-of-the-art becomes progressively challenging. In this project, we will study how to solve MAPF problems with an eye toward such real-world application considerations and help the research community to track the state-of-the-art.
Applications Applications closed on Friday, 25 August 2023.

Path Planning under Partial Observability
Code	Start date	Value	Contact
3478	20 November 2023 (negotiable)	$6000 ($500 x 12 weeks)	Professor Peter Stuckey ; Associate Professor Daniel Harabor ; Mr. Zhe Chen Email: zhe.chen@monash.edu Phone: +61 3 99034334 Research profile: Professor Peter Stuckey ; Associate Professor Daniel Harabor ; Mr. Zhe Chen
Prerequisites Good at algorithms and data structures. Preferably with C++ programming experience. Familiar with search algorithms, like Dijkstra and A-Star algorithms.
Additional details Path Planning is a classic problem where we need to navigate agents from a start location to their goal locations. The problem becomes difficult if the environment can not be fully observed for the whole time. In this project, we will study how to model and solve such problems in practice with the point of view towards real robots. A good starting point for understanding the problem is the following paper: http://idm-lab.org/bib/abstracts/papers/tro05.pdf
Applications Applications closed on Friday, 25 August 2023.

Artificial Sparsity Enhanced Deep Learning Image Reconstruction for MRI
Code	Start date	Value	Contact
3520	24 June 2024 (negotiable)	$1920 ($480 x 4 weeks)	Dr Zhifeng Chen, Prof Zhaolin Chen Email: zhifeng.chen@monash.edu Research profile: Dr Zhifeng Chen, Prof Zhaolin Chen More information about project #3520
Prerequisites Third-year/Fourth-year students with a background in computer science, preferably from faculties such as IT, Engineering, etc., and with experience in Python/MATLAB programming, are preferred.
Additional details You are welcome to submit your CV to the supervisors. If shortlisted you are required to attend an interview between April 26, 2024 and May 27, 2024.
Applications Applications closed on Friday, 17 May 2024.

Algorithms and complexity of the pebble motion problem and multi-agent pathfinding
Code	Start date	Value	Contact
3521	24 June 2024 (negotiable)	$2000 ($500 x 4 weeks)	Pierre Le Bodic Email: pierre.lebodic@monash.edu Research profile: Pierre Le Bodic
Prerequisites 2nd or 3rd year computer science with high marks in FIT1008, FIT2004 and FIT2014.
Additional details There will be an interview for shortlisted students. The work is intended to be mostly be theoretical. It is the continuation of a line of work that has been published, so if you have good results there is a chance to publish them.
Applications Applications closed on Friday, 17 May 2024.

Understanding the impact that digital self-tracking might have on anxiety in new mothers
Code	Start date	Value	Contact
3522	24 June 2024 (negotiable)	$2400 ($600 x 4 weeks)	Dr Roisin McNaney Email: roisin.mcnaney@monash.edu Research profile: Dr Roisin McNaney
Prerequisites Candidates should be aware that this is non technical project, focusing on thematic analysis (research methods would be beneficial). We would welcome candidates who have an interest in HCI/ Human factors and digital health
Additional details If shortlisted, students will be asked to attend an interview between Friday 24th May and Friday 7th June
Applications Applications closed on Friday, 17 May 2024.

Continuous-time Automated Decision Making with Mathematical Optimisation
Code	Start date	Value	Contact
3525	24 June 2024 (negotiable)	$1200 ($300 x 4 weeks)	Dr. Buser Say Email: buser.say@monash.edu Research profile: Dr. Buser Say More information about project #3525
Prerequisites Advanced programming in skills in Python and background in mathematical optimisation.
Additional details Shortlisted candidates will be interviewed after the applications close.
Applications Applications closed on Friday, 17 May 2024.

Tracking Progress in Multi-Agent Path Finding
Code	Start date	Value	Contact
3528	24 June 2024 (negotiable)	$2400 ($600 x 4 weeks)	Assoc. Prof. Daniel Harabor, Mr. Zhe Chen Email: zhe.chen@monash.edu Research profile: Assoc. Prof. Daniel Harabor, Mr. Zhe Chen More information about project #3528
Prerequisites The candidates of this project is expected to be familiar with web development with ReactJS and Node.js, and using CLI to performing algorithm benchmarking on Linux machines.
Additional details MAPF-Tracker (https://tracker.pathfinding.ai/) is a project on tracking the progress in the research field of Multi-Agent Path Finding. The winter research will assists the project development and collecting benchmark data for SOTA MAPF algorithms. Reference: https://arxiv.org/abs/2305.08446
Applications Applications closed on Friday, 17 May 2024.

Scientists and Journals
Code	Start date	Value	Contact
3529	18 November 2024 (negotiable)	$2500 ($500 x 5 weeks)	A/Prof. Julian Garcia Email: julian.garcia@monash.edu Phone: 03 9905 3654 Research profile: A/Prof. Julian Garcia More information about project #3529
Prerequisites FIT3139, MAT1830, Julia language, Simulation, Interest in game theory and mathematical models.
Additional details If shortlisted you are required to attend an interview before the selection is finished.
Applications Applications closed on Friday, 30 August 2024.

Building an AI Platform for Sensemaking of Community Data
Code	Start date	Value	Contact
3616	18 November 2024 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Delvin Varghese Email: delvin.varghese@monash.edu Phone: 0432 862 093 (WhatsApp only) Research profile: Dr. Delvin Varghese More information about project #3616
Prerequisites Since this project needs someone who can hit the ground running, you will have hands-on experience in deep learning or machine learning techniques. Ideal candidates will have a solid understanding of data preprocessing, model training, fine tuning and evaluation techniques.
Additional details If shortlisted you are required to attend an interview - more details to be announced soon.
Applications Applications closed on Friday, 30 August 2024.

Continuous-time Automated Decision Making with Mathematical Optimisation
Code	Start date	Value	Contact
3617	18 November 2024 (negotiable)	$3960 ($330 x 12 weeks)	Dr. Buser Say Email: buser.say@monash.edu More information about project #3617
Prerequisites Experience in Python and mathematical optimisation are preferred.
Applications Applications closed on Friday, 30 August 2024.

Investigating Security in Decentralized Identity Management Systems
Code	Start date	Value	Contact
3618	18 November 2024 (negotiable)	$3000 ($300 x 10 weeks)	Dr. Hui Cui Email: hui.cui@monash.edu Research profile: Dr. Hui Cui
Prerequisites Second Year Master Students doing Minor Thesis
Applications Applications closed on Friday, 30 August 2024.

Privacy-Enhancing Technologies for the Social Good
Code	Start date	Value	Contact
3619	18 November 2024 (negotiable)	$3996 ($333 x 12 weeks)	Dr Muhammed Esgin Email: muhammed.esgin@monash.edu Research profile: Dr Muhammed Esgin More information about project #3619
Prerequisites Students with strong mathematics background and knowledge in cryptography (completed FIT2093 or FIT5163). Completion of FIT5124 is a plus
Additional details If shortlisted you are required to attend an online interview
Applications Applications closed on Friday, 30 August 2024.

Optimisation algorithms for multi-agent path finding
Code	Start date	Value	Contact
3621	18 November 2024 (negotiable)	$6000 ($500 x 12 weeks)	Dr Edward Lam Email: edward.lam@monash.edu Research profile: Dr Edward Lam
Prerequisites Strong C++ programming, completed algorithms and data structures unit, knowledge of shortest path algorithms are required. Completed some math units, completed some AI units are beneficial.
Additional details Short casual interview required.
Applications Applications closed on Friday, 30 August 2024.

Manipulation techniques used in cyberscams
Code	Start date	Value	Contact
3622	18 November 2024	$4200 ($350 x 12 weeks)	Profesor Monica Whitty Email: monica.whitty@monash.edu Research profile: Profesor Monica Whitty More information about project #3622
Prerequisites A degree or third-year student. Needs to be interested in human factors in cybersecurity. They need to have knowledge and experience conducting thematic analysis, literature reviews, and some basic understanding of theories in human behaviour.
Additional details If shortlisted the applicant would be required to attend a 30 minute interview, where they will be asked about their skill set and interest in the project.
Applications Applications closed on Friday, 30 August 2024.

Developing an accessible OER framework with The Programmer’s Field Guide
Code	Start date	Value	Contact
3623	18 November 2024 (negotiable)	$7200 ($600 x 12 weeks)	Dr. Charlotte Pierce Email: charlotte.pierce@monash.edu Research profile: Dr. Charlotte Pierce More information about project #3623
Prerequisites Second or third year computer science. Strong programming skills, and a strong interest in computing education.
Additional details If shortlisted you are required to attend an online interview between 10 - 20 September
Applications Applications closed on Friday, 30 August 2024.

Improving Cyber Security Behaviours
Code	Start date	Value	Contact
3624	18 November 2024	$4200 ($350 x 12 weeks)	Professor Monica Whitty Email: monica.whitty@monash.edu Research profile: Professor Monica Whitty More information about project #3624
Prerequisites A degree or third-year student. Needs to be interested in human factors in cybersecurity. They need to have knowledge about human factors in cybersecurity and some knowledge of experimental methods
Additional details If shortlisted the applicant would be required to attend a 30 minute interview, where they will be asked about their skill set and interest in the project.
Applications Applications closed on Friday, 30 August 2024.

Posthoc - Debugging and visualisation platform for search
Code	Start date	Value	Contact
3625	18 November 2024 (negotiable)	$6000 ($500 x 12 weeks)	Daniel Harabor, Michael Wybrow, Kevin Zheng Email: kevin.zheng@monash.edu Research profile: Daniel Harabor, Michael Wybrow, Kevin Zheng More information about project #3625
Prerequisites Software engineering or computer science student. Strong programming skills. Experience with Typescript, React. Knowledge of pathfinding search.
Additional details If you are shortlisted, you are required to attend a short interview with the project supervisors between 18th November to 25th November.
Applications Applications closed on Friday, 30 August 2024.

Multi-Agent Path Finding with Real Robots!
Code	Start date	Value	Contact
3626	18 November 2024 (negotiable)	$7200 ($600 x 12 weeks)	Dr. Zhe Chen, Ms. Yue Zhang, A/Prof Daniel Harabor Email: zhe.chen@monash.edu Research profile: Dr. Zhe Chen, Ms. Yue Zhang, A/Prof Daniel Harabor More information about project #3626
Prerequisites 1. Strong programming skills in C++ and Python. 2. Experience in Linux and command line environments. 3. Strong track record of algorithms and data structures. Nice to have: knowledge or Experience in programming for real robots and pathfinding/heuristic search algorithms.
Additional details Coordinating a team of robots to efficiently navigate and complete tasks in real-world scenarios is a crucial challenge in robotics and computer science. Computer scientists spend years of effort to develop algorithms to find paths for robots with abstract models. Yet planning paths for robots is just the first step. To operate on real robots, we need to tackle difficulties that include geometric constraints (the agents have size), kinematic constraints (the agents have speed), imperfect executions, and various operational limitations. The plans may also be derailed during execution, because of unexpected malfunctions and delays. The aim of this project is to bridge this gap by developing a framework that integrates various computer science solvers with the operational capabilities on real robots. This framework will allow for performing computational experiments on state of the art algorithms, and study how to efficiently and effectively coordinate real robots for real-world applications. You will work with the research team at the Shortest Path Lab, Optimisation Group, and having chances to talk with other research members and find out what they are working on in the group. You will programming the framework and interface for coordinating real robots (turtlebot 4). Also reading papers and implementing and evaluating state of the art algorithms for navigating robots.
Applications Applications closed on Friday, 30 August 2024.

Algorithms and complexity of the pebble motion problem and multi-agent pathfinding
Code	Start date	Value	Contact
3627	13 January 2025 (negotiable)	$3000 ($500 x 6 weeks)	Dr Pierre Le Bodic Email: pierre.lebodic@monash.edu Research profile: Dr Pierre Le Bodic
Prerequisites FIT2004, FIT2014
Additional details The project has a theoretical comp sci flavour. It may or may not involve programming. See this paper to get an idea of what the research is about https://ojs.aaai.org/index.php/SOCS/article/view/31562 We will interview a shortlist of applicants around November.
Applications Applications closed on Friday, 30 August 2024.

AI-oriented grammar design for Java
Code	Start date	Value	Contact
3628	18 November 2024	$4000 ($400 x 10 weeks)	Dr Xiaoning Du Email: xiaoning.du@monash.edu Research profile: Dr Xiaoning Du
Prerequisites Proficiency in Java programming and parser generators
Additional details Artificial Intelligence (AI) models have emerged as another important audience for programming languages alongside humans and machines, as we enter the era of large language models (LLMs). LLMs can now perform well in coding competitions and even write programs like developers to solve various tasks, including mathematical problems. However, the grammar and layout of current programs are designed to cater the needs of human developers -- with many grammar tokens and formatting tokens being used to make the code easier for humans to read. While this is helpful, such a design adds unnecessary computational work for LLMs, as each token they either use or produce consumes computational resources. In this project, you are expected to redesign the grammar of Java and implement a parser for the new grammar.
Applications Applications closed on Friday, 30 August 2024.

Exploring the design of interactive devices for surfing and para-surfing
Code	Start date	Value	Contact
3630	18 November 2024 (negotiable)	$3500 ($350 x 10 weeks)	Professor Florian Mueller Email: maria.montoyavega@monash.edu Research profile: Professor Florian Mueller More information about project #3630
Prerequisites Experience programming and using microcontrollers like Arduino. Students with experience programming in Java or Unity3D are also suitable for the project. Students with skills in clothing design and 3D printing are also suitable.
Additional details This summer project aims to craft surfing equipment to enrich the surfing practice of surfers and para-surfers using interactive technology, such as microcontrollers, sensors, and design techniques like 3D printing and clothing design. If shortlisted you are required to attend an online interview before the 18 of Nov.
Applications Applications closed on Friday, 30 August 2024.

Mental Health and Neurology AI
Code	Start date	Value	Contact
3640	18 November 2024 (negotiable)	$4800 ($400 x 12 weeks)	Zongyuan Ge, Duong Nhu, Deval Mehta Email: zongyuan.ge@monash.edu Research profile: Zongyuan Ge, Duong Nhu, Deval Mehta More information about project #3640
Additional details If shortlisted you are required to attend an interview.
Applications Applications closed on Friday, 30 August 2024.

GeoPods: Kubernetes-based User Location Service
Code	Start date	Value	Contact
3649	18 November 2024 (negotiable)	$3600 ($300 x 12 weeks)	Dr. Mohammad Goudarzi Email: mohammad.goudarzi@monash.edu Research profile: Dr. Mohammad Goudarzi
Prerequisites Computer Science Students with experience in object oriented programming (python programming), and frontend programming experience (e.g. react).
Additional details If selected, you will be required to attend a brief interview. This project offers an opportunity to gain hands-on experience with Kubernetes, Docker containers, and various Application Programming Interfaces (APIs).
Applications Applications closed on Friday, 30 August 2024.

Energy Control Rooms of the Future
Code	Start date	Value	Contact
3650	18 November 2024 (negotiable)	$5400 ($450 x 12 weeks)	Sarah Goodwin, Yidan Zhang, Michael Wybrow, Mor Vered, Caddie Gao, Markus Wagner, Tim Dwyer, Benjamin Tag Email: sarah.goodwin@monash.edu Research profile: Sarah Goodwin, Yidan Zhang, Michael Wybrow, Mor Vered, Caddie Gao, Markus Wagner, Tim Dwyer, Benjamin Tag More information about project #3650
Prerequisites Proficient programming skills; Clear verbal and written communication skills; Demonstrated ability to work both in a team and independently; Interest in sustainability, environment, and/or energy systems.
Additional details If shortlisted you are required to attend an interview.
Applications Applications closed on Friday, 30 August 2024.

STEM for Starlight
Code	Start date	Value	Contact
3651	18 November 2024 (negotiable)	$6000 ($500 x 12 weeks)	Kirsten Ellis Email: kirsten.ellis@monash.edu Phone: 99047132 Research profile: Kirsten Ellis
Prerequisites Preferred student will have a creative and technical background. The student will need a working with children check.
Additional details This project will be to create an interactive activity as part of an installation at the Monash Children's hospital in the Starlight room. The room provides a medical free play space for children who are in the hospital and their siblings. The project will be to create an activity for the children to do to create light up craft activities that can be added to the room. The student will be working in the maker space to design the activity to be run at the hospital, it will probably have an outer space theme as this fits with the starlight room theme.
Applications Applications closed on Friday, 30 August 2024.

Immersive data storytelling for water quality and ecosystems
Code	Start date	Value	Contact
3652	18 November 2024 (negotiable)	$5400 ($450 x 12 weeks)	Sarah Goodwin, Anna Lintern, Vanessa Echeverria, Yidan Zhang Email: sarah.goodwin@monash.edu Phone: 0481089390 Research profile: Sarah Goodwin, Anna Lintern, Vanessa Echeverria, Yidan Zhang More information about project #3652
Prerequisites Proficient programming skills; Unity knowledge or willingness and ability to learn it quickly; clear verbal and written communication skills; ability to work in a team as well as independently; interest in immersive technologies, sustainability, environment and ecosystem.
Additional details If shortlisted you are required to attend an interview on zoom with the research team.
Applications Applications closed on Friday, 30 August 2024.

Decoding User Feedback: Sentiment Analysis for Enhancing Smart Home Device Performance
Code	Start date	Value	Contact
3653	25 November 2024 (negotiable)	$4000 ($400 x 10 weeks)	Isma Farah Siddiqui Email: ismafarah.siddiqui@monash.edu
Prerequisites Third-year FIT students with Python proficiency, machine learning and NLP knowledge, and ability to work with data handling and APIs.
Additional details Students will be selected based on their academic performance, technical skills in Python, machine learning, and NLP, previous experience with related projects, problem-solving abilities, and a strong interest in smart home technologies.
Applications Applications closed on Friday, 30 August 2024.

Explaining the impact of evidence in Bayesian networks using visual and verbal markup
Code	Start date	Value	Contact
3655	18 November 2024 (negotiable)	$5000 ($500 x 10 weeks)	Prof Ann Nicholson Email: erik.nyberg@monash.edu Research profile: Prof Ann Nicholson More information about project #3655
Prerequisites Some knowledge in any of these areas would be helpful: Bayesian networks, visualization, NLG, HTML, JavaScript, user testing.
Additional details You’ll work with our experienced, friendly research team to further develop and test our novel markup tools for Bayesian network GUIs. We’ll agree on a specific aspect to improve, then help you develop alternatives and conduct a crowd-sourced experiment to compare user performance and satisfaction.
Applications Applications closed on Friday, 30 August 2024.

Explaining the impact of evidence in Bayesian networks using visual and verbal markup
Code	Start date	Value	Contact
3657	18 November 2024 (negotiable)	$5000 ($500 x 10 weeks)	Prof Ann Nicholson Email: erik.nyberg@monash.edu Research profile: Prof Ann Nicholson More information about project #3657
Prerequisites Some knowledge in any of these areas would be helpful: Bayesian networks, visualization, NLG, HTML, JavaScript, user testing.
Additional details You’ll work with our experienced, friendly research team to further develop and test our novel markup tools for Bayesian network GUIs. We’ll agree on a specific aspect to improve, then help you develop alternatives and conduct a crowd-sourced experiment to compare user performance and satisfaction.
Applications Applications closed on Friday, 30 August 2024.

Explaining the impact of evidence in Bayesian networks using visual and verbal markup
Code	Start date	Value	Contact
3658	18 November 2024 (negotiable)	$5000 ($500 x 10 weeks)	Prof Ann Nicholson Email: erik.nyberg@monash.edu Research profile: Prof Ann Nicholson More information about project #3658
Prerequisites Some knowledge in any of these areas would be helpful: Bayesian networks, visualization, NLG, HTML, JavaScript, user testing.
Additional details You’ll work with our experienced, friendly research team to further develop and test our novel markup tools for Bayesian network GUIs. We’ll agree on a specific aspect to improve, then help you develop alternatives and conduct a crowd-sourced experiment to compare user performance and satisfaction.
Applications Applications closed on Friday, 30 August 2024.

Redesigning Online Dispute Resolution (Residential Tenancies) and VCAT
Code	Start date	Value	Contact
3660	18 November 2024 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Delvin Varghese Email: delvin.varghese@monash.edu Phone: +61 432 862 093 (WhatsApp only) Research profile: Dr. Delvin Varghese More information about project #3660
Prerequisites Required: basic knowledge of online residential dispute process and basic programming skills.
Additional details If shortlisted you are required to attend an interview - dates to be confirmed.
Applications Applications closed on Friday, 30 August 2024.

AI & Design Bootcamp - Preparing Next Gen Students in Basic AI Literacy and Design Skills
Code	Start date	Value	Contact
3661	18 November 2024 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Delvin Varghese Email: delvin.varghese@monash.edu Phone: +61 432 862 093 (WhatsApp only) Research profile: Dr. Delvin Varghese More information about project #3661
Prerequisites Previous experience in organising student-facing events is a must. Must have programming and design skillset. Desirable: industry experience.
Additional details If shortlisted you are required to attend an interview - dates to be confirmed.
Applications Applications closed on Friday, 30 August 2024.

An interactive user interface and app for bee monitoring technology
Code	Start date	Value	Contact
3687	30 June 2025 (negotiable)	$2000 ($500 x 4 weeks)	Alan Dorin Email: alan.dorin@monash.edu Research profile: Alan Dorin More information about project #3687
Prerequisites Third-year computer science students, app development experience required. An interest and some experience in visual design is important. Experience with user interface design is also beneficial, especially (but not only) if it relates to robot control.
Additional details If shortlisted we will organise an interview and discussion via Zoom with applicants. Students should provide examples of past interface design and/or app development projects.
Applications Applications closed on Friday, 16 May 2025.

Historical Record Linkage - Connecting Tasmanian 19th Century Street Directories
Code	Start date	Value	Contact
3688	30 June 2025 (negotiable)	$2400 ($600 x 4 weeks)	Dr. Monika Schwarz Email: monika.schwarz@monash.edu
Prerequisites Second or third year students, preferably enrolled in a data science course, with experience in data wrangling and R, and an interest in working with 19th Century historical records. Geographical knowledge of Tasmania and some familiarity with Australian history would be advantageous.
Additional details You will have the opportunity of working at SensiLab at the Caulfield campus. Your task will be to clean and link the entries of 6 Tasmanian street directories from the years 1887-1905 into a single run, preferably using R, but Python would be an option.
Applications Applications closed on Friday, 16 May 2025.

Efficient LLM Reasoning
Code	Start date	Value	Contact
3690	30 June 2025 (negotiable)	$2400 ($600 x 4 weeks)	Jianfei Cai Email: jianfei.cai@monash.edu Research profile: Jianfei Cai
Prerequisites Must have done deep learning research before, must have published 1 first-author paper in deep learning research and plan to do a PhD in future.
Additional details Any student who meets the prerequisites will be interviewed.
Applications Applications closed on Friday, 16 May 2025.

Continuous-time Automated Decision Making with Mathematical Optimisation
Code	Start date	Value	Contact
3691	30 June 2025 (negotiable)	$1200 ($300 x 4 weeks)	Dr. Buser Say Email: buser.say@monash.edu Research profile: Dr. Buser Say More information about project #3691
Prerequisites Strong programming skills in Python. Previous experience in planning, optimisation is preferred.
Applications Applications closed on Friday, 16 May 2025.

Explainable Multi-Agent Path Finding (XMAPF)
Code	Start date	Value	Contact
3692	30 June 2025	$2400 ($600 x 4 weeks)	Dr Mor Vered Email: mor.vered@monash.edu Research profile: Dr Mor Vered More information about project #3692
Prerequisites - Basic knowledge of AI (e.g., FIT3080) Comfortable with C++ and python
Applications Applications closed on Friday, 16 May 2025.

Recognition and Generation of Suspicious Behaviour
Code	Start date	Value	Contact
3693	30 June 2025	$2400 ($600 x 4 weeks)	Dr Mor Vered Email: mor.vered@monash.edu Research profile: Dr Mor Vered More information about project #3693
Prerequisites Experience with Python, C++, planning and optimisation.
Additional details Goal recognition is defined as the problem of determining an agent’s intent from observations of its behaviour. This project focuses on the generation of suspicious behaviours according to novel models.
Applications Applications closed on Friday, 16 May 2025.

A Global Review of Genomic Data Governance and Consent Frameworks
Code	Start date	Value	Contact
3700	30 June 2025 (negotiable)	$2000 ($500 x 4 weeks)	Dr Sara Jafarbeiki Email: sara.jafarbeiki@monash.edu Research profile: Dr Sara Jafarbeiki More information about project #3700
Prerequisites Third- or fourth-year students in law, IT, data science, bioinformatics, public health, or digital health. Interest in data privacy, governance frameworks, and consent models (e.g., GDPR, HIPAA) is preferred. Strong research, critical thinking, and writing skills essential.
Additional details If shortlisted, you will be required to attend an interview between mid-May and the end of May.
Applications Applications closed on Friday, 16 May 2025.

3D Gaussian Splatting Pipeline for Digitisation of Balinese Temples
Code	Start date	Value	Contact
3703	30 June 2025 (negotiable)	$2400 ($600 x 4 weeks)	Dr Kadek Satriadi Email: kadek.satriadi@monash.edu Research profile: Dr Kadek Satriadi More information about project #3703
Prerequisites Basic knowledge of 3D Gaussian Splatting, experience with Nerfstudio, experience with Linux terminal
Applications Applications closed on Friday, 16 May 2025.

Deploying/Migrating Unity AR/VR Projects to Apple VisionPro
Code	Start date	Value	Contact
3704	30 June 2025 (negotiable)	$1920 ($480 x 4 weeks)	Dr Jiazhou 'Joe' Liu Email: joe.liu@monash.edu Research profile: Dr Jiazhou 'Joe' Liu More information about project #3704
Prerequisites Computer Science or IT students with strong programming skills/experience and AR/VR development experience. Students should be able to understand C# scripts and Unity projects. Students should have Xcode and Swift/SwiftUI programming experience, preferably with experience using RealityKit or ARKit.
Additional details If shortlisted, you may be required to attend a short interview between 2 June and 6 June (Swot vac week).
Applications Applications closed on Friday, 16 May 2025.

Improving executive functioning in developmentally vulnerable children via a tablet app
Code	Start date	Value	Contact
3713	30 June 2025	$2000 ($500 x 4 weeks)	Associate Professor Michael Wybrow Email: michael.wybrow@monash.edu Research profile: Associate Professor Michael Wybrow
Prerequisites You should have familiarity with Unity and C#.
Additional details Caterpillar Creek is a tablet game designed to strengthen executive functioning (mental skills like planning, attention & juggling multiple tasks) in developmentally vulnerable children. You’ll work with our friendly research team, extending the app to support evaluations by schools 7 families.
Applications Applications closed on Friday, 16 May 2025.

MapLink: A Contract-Based Platform Connecting Creatives via Interactive Maps
Code	Start date	Value	Contact
3714	30 June 2025 (negotiable)	$1000 ($250 x 4 weeks)	Dr. Mohammad Goudarzi Email: mohammad.goudarzi@monash.edu Research profile: Dr. Mohammad Goudarzi
Prerequisites The ideal candidate for this project is a motivated student who has: Frontend experience, (preferably with Next.js), React or Vue.js. A good grasp of Python for backend development and implement RESTful APIs. Experience with Docker and containerized development environments.
Additional details If shortlisted, you will receive an email for an interview.
Applications Applications closed on Friday, 16 May 2025.

Improving Gazealytics, a web-based visual eye tracking analysis toolkit
Code	Start date	Value	Contact
3715	30 June 2025	$2400 ($600 x 4 weeks)	Dr Yidan Zhang Email: yidan.zhang@monash.edu Research profile: Dr Yidan Zhang More information about project #3715
Prerequisites 3rd or final year UG or Masters level software developer / engineer. Ideally, you have: Strong JavaScript skills and experience with data visualisation (D3.js or similar); Comfortable working with multimedia (video) synchronisation; Familiarity with GitHub and collaborative coding workflows.
Additional details If shortlisted you are required to attend an interview mid to end May
Applications Applications closed on Friday, 16 May 2025.

Explaining the impact of evidence in Bayesian networks using visual and verbal markup
Code	Start date	Value	Contact
3716	30 June 2025	$2000 ($500 x 4 weeks)	Prof Ann Nicholson Email: michael.wybrow@monash.edu
Prerequisites Some knowledge in any of these areas would be helpful: Bayesian networks, user studies, visualization, HTML, JavaScript.
Additional details You’ll work with our experienced, friendly research team to test our novel markup tools for Bayesian network GUIs. We’ll help you develop and conduct a crowd-sourced experiment to compare user performance and satisfaction.
Applications Applications closed on Friday, 16 May 2025.

Deepfakes Detection in Images/Video/Audio
Code	Start date	Value	Contact
3732	30 June 2025	$2000 ($500 x 4 weeks)	A/Professor Abhinav Dhall Email: abhinav.dhall@monash.edu Research profile: A/Professor Abhinav Dhall More information about project #3732
Prerequisites Deep Learning and/or computer vision experience
Additional details If shortlisted you will be required to attend an interview between 26 May and 6 June.
Applications Applications closed on Friday, 16 May 2025.

Making HCC Visible: publicity for cool human-centred projects
Code	Start date	Value	Contact
3733	30 June 2025 (negotiable)	$2400 ($600 x 4 weeks)	Professor Helen Purchase Email: helen.purchase@monash.edu
Prerequisites Second or third year, with good communication skills, and research curiosity
Additional details You need to attend an interview before the end of May.
Applications Applications closed on Friday, 16 May 2025.

Foundation model for Cell Pathology Imaging
Code	Start date	Value	Contact
3786	24 November 2025	$3600 ($300 x 12 weeks)	A/Prof Zongyuan Ge Email: zongyuan.ge@monash.edu Research profile: A/Prof Zongyuan Ge More information about project #3786
Prerequisites LLM/Foundation Model training experiences
Applications Applications closed on Friday, 29 August 2025.

Foundation Model for Neuroscience
Code	Start date	Value	Contact
3787	24 November 2025 (negotiable)	$3600 ($300 x 12 weeks)	A/Prof Zongyuan Ge Email: zongyuan.ge@monash.edu Research profile: A/Prof Zongyuan Ge More information about project #3787
Prerequisites Foundation/LLM training experiences
Applications Applications closed on Friday, 29 August 2025.

Algorithms for Scheduling and Routing
Code	Start date	Value	Contact
3788	15 December 2025 (negotiable)	$6000 ($500 x 12 weeks)	Dr Edward Lam Email: edward.lam@monash.edu Research profile: Dr Edward Lam
Prerequisites Familiarity with algorithms and data structures. Strong ability to code in C++ or Rust. Completed units in heuristic search (A*) or mathematical optimisation (mixed integer linear programming) required.
Additional details This project will develop algorithms to efficiently schedule vehicles to visit locations of tasks and route the vehicles to these locations.
Applications Applications closed on Friday, 29 August 2025.

Anomaly Detection in MRI Scans through Deep Learning
Code	Start date	Value	Contact
3789	24 November 2025 (negotiable)	$3600 ($600 x 6 weeks)	Associate Professor Zhaolin Chen Email: zhaolin.chen@monash.edu Research profile: Associate Professor Zhaolin Chen More information about project #3789
Prerequisites Biomedical science expertise and interests in AI development
Applications Applications closed on Friday, 29 August 2025.

Leveraging Emotional Cues for Real-Time Deception Detection
Code	Start date	Value	Contact
3790	24 November 2025 (negotiable)	$4800 ($400 x 12 weeks)	Dr Chetan Arora Email: chetan.arora@monash.edu Research profile: Dr Chetan Arora
Prerequisites • Programming skills in Python, especially with NLP and ML (PyTorch/TensorFlow). • Data processing skills for cleaning and organizing text/audio datasets. • Research skills to review papers, summarize findings, and help design experiments. • Writing skills to assist in drafting research reports.
Additional details If shortlisted you are required to attend an interview between 15 - 19 September.
Applications Applications closed on Friday, 29 August 2025.

Skin Lesion Screening and Risk Stratification
Code	Start date	Value	Contact
3791	24 November 2025 (negotiable)	$4800 ($400 x 12 weeks)	A/Prof Zongyuan Ge Email: zongyuan.ge@monash.edu Research profile: A/Prof Zongyuan Ge
Applications Applications closed on Friday, 29 August 2025.

Integrating Multi-Type Autonomous Vehicles for Sustainable Urban Mobility
Code	Start date	Value	Contact
3792	24 November 2025 (negotiable)	$3000 ($300 x 10 weeks)	Mohammed Eunus Ali Email: eunus.ali@monash.edu
Prerequisites Good programming skills (back-end and front-end), Experience with working in urban mobility simulation software, Working with spatio-temporal data is a plus point
Additional details We will do a short interview for the shortlisted candidates. I will select three candidates based on interview
Applications Applications closed on Friday, 29 August 2025.

MapLink: A Contract-Based Platform Connecting Creatives via Interactive Maps
Code	Start date	Value	Contact
3793	24 November 2025	$2000 ($200 x 10 weeks)	Dr. Mohammad Goudarzi Email: mohammad.goudarzi@monash.edu Research profile: Dr. Mohammad Goudarzi
Prerequisites Ideal candidate for this project is a motivated student who has: Frontend experience, (preferably with Next.js). A good grasp of Python for backend and RESTful APIs. Experience working with Docker is required. Machine Learning and Contract-based (e.g., swift, blockchain) Knowledge are a BIG plus
Additional details Multiple positions (frontend, backend, ML pipeline) are available. If shortlisted, you will receive an email for a technical interview.
Applications Applications closed on Friday, 29 August 2025.

HandovAR: AI-facilitated Handover System via Augmented Reality for ICU Nurses
Code	Start date	Value	Contact
3794	24 November 2025 (negotiable)	$7200 ($600 x 12 weeks)	Dr Jiazhou 'Joe' Liu Email: joe.liu@monash.edu Research profile: Dr Jiazhou 'Joe' Liu
Prerequisites Third-year CS students or Master's students, preferably with Unity (C#) programming experience or VisionOS (SwiftUI) app development experience
Additional details If shortlisted, you are required to attend an interview between 15 and 19 September.
Applications Applications closed on Friday, 29 August 2025.

Multi Agent AI for Web Discovery
Code	Start date	Value	Contact
3795	24 November 2025	$3000 ($300 x 10 weeks)	Mohammed Eunus Ali Email: eunus.ali@monash.edu Research profile: Mohammed Eunus Ali
Prerequisites Third- or fourth-year Computer Science, Software Engineering, or AI/Data Science students with experience in Python programming and knowledge of machine learning , artificial intelligence, and agentic AI.
Additional details This is a collaborative project with Prof Aamir Cheema and Dr Mohammad Goudarzi. We will build a state-of-the art agentic AI system for Web. We will interview shortlisted students and will select 2-3 students.
Applications Applications closed on Friday, 29 August 2025.

Multi Agent AI for Web Discovery
Code	Start date	Value	Contact
3805	24 November 2025	$3000 ($300 x 10 weeks)	Mohammed Eunus Ali Email: eunus.ali@monash.edu Research profile: Mohammed Eunus Ali
Prerequisites Third- or fourth-year Computer Science, Software Engineering, or AI/Data Science students with experience in Python programming and knowledge of machine learning , artificial intelligence, and agentic AI.
Additional details This is a collaborative project with Prof Aamir Cheema and Dr Mohammad Goudarzi. We will build a state-of-the art agentic AI system for Web. We will interview shortlisted students and will select 2-3 students.
Applications Applications closed on Friday, 29 August 2025.

Continuous-time Automated Decision Making with Mathematical Optimisation
Code	Start date	Value	Contact
3806	24 November 2025	$3600 ($300 x 12 weeks)	Dr. Buser Say Email: buser.say@monash.edu Research profile: Dr. Buser Say More information about project #3806
Prerequisites Strong programming skills in Python. Previous experience in planning, optimisation is preferred.
Additional details Shortlisted candidates may be asked to attend an interview.
Applications Applications closed on Friday, 29 August 2025.

A GUI for A Pollination Monitoring System
Code	Start date	Value	Contact
3807	29 June 2026 (negotiable)	$2000 ($500 x 4 weeks)	Professor Alan Dorin Email: alan.dorin@monash.edu Research profile: Professor Alan Dorin More information about project #3807
Prerequisites Previous experience in UI design and implementation, as well as iOS and web app development is of benefit. A demonstrable interest in ecology and/or insects and/or robot control is a bonus.
Additional details If shortlisted, please provide evidence of past work in the area of UI design, IOS and web app development, and an interest in ecology and/or insects and/or robot control.
Applications Applications closed on Friday, 15 May 2026.

Anomaly Detection in MRI Scans through Deep Learning
Code	Start date	Value	Contact
3808	24 November 2025 (negotiable)	$3200 ($400 x 8 weeks)	Associate Professor Zhaolin Chen Email: zhaolin.chen@monash.edu Research profile: Associate Professor Zhaolin Chen More information about project #3808
Prerequisites Biomedical science knowledge and computing skills
Applications Applications closed on Friday, 29 August 2025.

Multi-Agent Path Finding with Conflict-Based Search Variants
Code	Start date	Value	Contact
3809	24 November 2025 (negotiable)	$6000 ($500 x 12 weeks)	Associate Professor Daniel Harabor, Yue Zhang, Andy Li, Bojie Shen Email: yue.zhang@monash.edu
Prerequisites Strong experience in programming. Experience with algorithm implementation with C++ is strongly preferred. Familiarity with A*, heuristic search, and multi-agent path-finding algorithms. Prior exposure to constraint solving or planning algorithms is beneficial but not required.
Additional details Multi-Agent Path Finding (MAPF) focuses on computing collision-free paths for a group of agents. Traditional optimal approaches focus on advancing Conflict-Based Search (CBS), such as Lazy CBS, Symmetry breakings, Mutex Propagation, etc. However, they are often implemented and compared separately. This project aims to develop and benchmark those advanced algorithms and combine them to understand the search improvements of each component. Then, further build upon the current existing approaches to speed up the search. Students will investigate different advances of CBS and further improve their performance.
Applications Applications closed on Friday, 29 August 2025.

MAPF with Real Robots
Code	Start date	Value	Contact
3810	24 November 2025 (negotiable)	$6000 ($500 x 12 weeks)	Daniel Harabor; Andy Li; Yue Zhang Email: andy.li@monash.edu More information about project #3810
Prerequisites Strong coding skill, preferably C++/Rust or ROS2 experience
Additional details If shortlisted you are required to attend an interview.
Applications Applications closed on Friday, 29 August 2025.

Active Goal Recognition in AirSim
Code	Start date	Value	Contact
3811	24 November 2025 (negotiable)	$3000 ($250 x 12 weeks)	Dr Chenyuan Zhang Email: chenyuan.zhang@monash.edu Research profile: Dr Chenyuan Zhang
Prerequisites A master's student proficient in Python, with a preference for candidates who have experience in robotics programming (e.g., using ROS) or simulation development using AirSim.
Additional details The student will help generate scenarios, design missions, and implement vehicle behaviours in AirSim, aiming to build benchmark environments for evaluating active goal recognition algorithms in realistic and diverse simulation settings. If shortlisted you might be required to attend an interview between 15 - 19 September.
Applications Applications closed on Friday, 29 August 2025.

Evaluating Secure Genomic Data Platforms with Personalised Dynamic Consent
Code	Start date	Value	Contact
3812	24 November 2025 (negotiable)	$2000 ($500 x 4 weeks)	Sara Jafarbeiki Email: sara.jafarbeiki@monash.edu Research profile: Sara Jafarbeiki More information about project #3812
Prerequisites Ideal for third- or fourth-year students from disciplines such as law, IT, bioinformatics, public health, bioethics, digital health, or data science
Additional details If shortlisted you are required to attend an interview mid September
Applications Applications closed on Friday, 29 August 2025.

Identifying Privacy and Security Risks in Australian Genomic Data
Code	Start date	Value	Contact
3813	24 November 2025 (negotiable)	$2000 ($500 x 4 weeks)	Sara Jafarbeiki Email: sara.jafarbeiki@monash.edu Research profile: Sara Jafarbeiki More information about project #3813
Prerequisites Ideal for third- or fourth-year students from disciplines such as law, IT, bioinformatics, public health, bioethics, digital health, or data science
Additional details If shortlisted you are required to attend an interview mid September
Applications Applications closed on Friday, 29 August 2025.

UrbanTwin-EV: YOLO-Powered Digital Twin for Electric Vehicle Traffic
Code	Start date	Value	Contact
3814	24 November 2025 (negotiable)	$6600 ($600 x 11 weeks)	Dr. Isma Farah Siddiqui Email: ismafarah.siddiqui@monash.edu Research profile: Dr. Isma Farah Siddiqui More information about project #3814
Prerequisites Students of Master of Data Science/AI/Computer Science, Skilled with Programming in Python, Machine Learning, and Computer Vision
Additional details The shortlisted student will be required to attend an interview.
Applications Applications closed on Friday, 29 August 2025.

Posthoc - The Visualiser for Search
Code	Start date	Value	Contact
3815	24 November 2025 (negotiable)	$6000 ($500 x 12 weeks)	Kevin Zheng, Daniel Harabor, Michael Wybrow Email: kevin.zheng@monash.edu Research profile: Kevin Zheng, Daniel Harabor, Michael Wybrow More information about project #3815
Prerequisites Experience with React and Typescript, + knowledge of a few libraries we’re using e.g. Tanstack Query, Zustand, Pixi, Immer. Some knowledge in pathfinding or heuristic search algorithms, like A* and Dijkstra’s algorithm. Good sense of design, team spirit, and aspiration to make things high-quality.
Additional details You'll be required to attend a short interview before the project commences.
Applications Applications closed on Friday, 29 August 2025.

Design and Development of a Control Interface for an Insect Camera Trap
Code	Start date	Value	Contact
3816	29 June 2026 (negotiable)	$2000 ($500 x 4 weeks)	Dr. Malika Nisal Ratnayake Email: malika.ratnayake@monash.edu Research profile: Dr. Malika Nisal Ratnayake
Prerequisites Prior experience in web and/or application development, preferably with familiarity in working with Raspberry Pi systems.
Additional details If shortlisted you are required to attend an interview in May/June.
Applications Applications closed on Friday, 15 May 2026.

Design and Development of a Control Interface for an Insect Camera Trap
Code	Start date	Value	Contact
3828	8 December 2025 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Malika Nisal Ratnayake Email: malika.ratnayake@monash.edu Research profile: Dr. Malika Nisal Ratnayake
Prerequisites Prior experience in web and/or application development, preferably with familiarity in working with Raspberry Pi systems.
Additional details If shortlisted you are required to attend an interview between 15 - 19 October.
Applications Applications closed on Friday, 29 August 2025.

Design and Development of a Control Interface for an Insect Camera Trap
Code	Start date	Value	Contact
3829	8 December 2025 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Malika Nisal Ratnayake Email: malika.ratnayake@monash.edu Research profile: Dr. Malika Nisal Ratnayake
Prerequisites Prior experience in web and/or application development, preferably with familiarity in working with Raspberry Pi systems.
Additional details If shortlisted you are required to attend an interview between 15 - 19 October.
Applications Applications closed on Friday, 29 August 2025.

Design and Development of a Control Interface for an Insect Camera Trap
Code	Start date	Value	Contact
3830	8 December 2025 (negotiable)	$5000 ($500 x 10 weeks)	Dr. Malika Nisal Ratnayake Email: malika.ratnayake@monash.edu Research profile: Dr. Malika Nisal Ratnayake
Prerequisites Prior experience in web and/or application development, preferably with familiarity in working with Raspberry Pi systems.
Additional details If shortlisted you are required to attend an interview between 15 - 19 October.
Applications Applications closed on Friday, 29 August 2025.

Improving Multi-Agent PathFinding with flows
Code	Start date	Value	Contact
3831	1 December 2025 (negotiable)	$7200 ($600 x 12 weeks)	Pierre Le Bodic Email: pierre.lebodic@monash.edu Research profile: Pierre Le Bodic
Prerequisites Strong algorithms and programming knowledge (C++)
Additional details We'll interview a shortlist of candidates we have not worked with before.
Applications Applications closed on Friday, 29 August 2025.

Camera Trap Form Factor Design for Pollination Monitoring
Code	Start date	Value	Contact
3832	24 November 2025 (negotiable)	$4000 ($500 x 8 weeks)	Professor Alan Dorin Email: alan.dorin@monash.edu Research profile: Professor Alan Dorin More information about project #3832
Prerequisites Students with experience in product design directly through university study in engineering, industrial design, or indirectly through demonstrable experience via a portfolio. No computing experience required. Goal: design a special-purpose housing for a small camera trap to be used in agriculture
Additional details If shortlisted you will need to attend a Zoom interview, and to provide evidence of your design experience.
Applications Applications closed on Friday, 29 August 2025.

Improving executive functioning in developmentally vulnerable children via a tablet app
Code	Start date	Value	Contact
3833	24 November 2025 (negotiable)	$6000 ($500 x 12 weeks)	Associate Professor Michael Wybrow Email: michael.wybrow@monash.edu Research profile: Associate Professor Michael Wybrow
Prerequisites You should have familiarity with Unity and C#.
Additional details Caterpillar Creek is a tablet game designed to strengthen executive functioning (mental skills like planning, attention & juggling multiple tasks) in developmentally vulnerable children. You’ll work with our friendly research team, extending the app to support evaluations by schools & families.
Applications Applications closed on Friday, 29 August 2025.

GraphRAG for evidence-based mental health intervention design on the Induk platform
Code	Start date	Value	Contact
3835	1 December 2025 (negotiable)	$4000 ($500 x 8 weeks)	Dr Jue (Grace) Xie Email: jue.xie@monash.edu Research profile: Dr Jue (Grace) Xie More information about project #3835
Prerequisites Strong software development skills in Next.js and Python. Solid understanding of machine learning, including LLMs and prompt engineering. Preferably with experience in conversational AI systems and interest in mental health tech applications.
Additional details If shortlisted, you will be required to attend an interview between 8–11 September. The open-source Induk platform has supported expert-led, real-world psycho-educational deployments globally. This software engineering project will implement and integrate a GenAI-powered GraphRAG system into Induk’s authoring platform to support accountable and compliant mental health intervention design.
Applications Applications closed on Friday, 29 August 2025.

A bug study on the implementation of MCP (Model Context Protocol) applications
Code	Start date	Value	Contact
3836	24 November 2025	$4800 ($400 x 12 weeks)	Xiaoning Du Email: xiaoning.du@monash.edu Research profile: Xiaoning Du
Prerequisites Proficient with Python programming and the basic ideas of LLM agents
Additional details As LLM-based agentic AI software systems become more widespread, they increasingly depend on external tools to carry out complex tasks. The Model Context Protocol (MCP) aims to simplify and standardize tool access, yet real-world implementations still face frequent integration failures that impact system reliability and security. This project benchmarks such failures by analyzing open-source MCP-based agents, tracing how they interact with tools, and categorizing real GitHub issues to identify patterns and challenges in modern AI software, informing future research and improvements in the trustworthy operation of agentic AI systems.
Applications Applications closed on Friday, 29 August 2025.

Deepfakes Detection in Images/Video/Audio
Code	Start date	Value	Contact
3837	29 June 2026 (negotiable)	$2000 ($500 x 4 weeks)	Associate Professor Abhinav Dhall Email: abhinav.dhall@monash.edu Research profile: Associate Professor Abhinav Dhall More information about project #3837
Prerequisites Experience with deep learning and python language
Applications Applications closed on Friday, 15 May 2026.

Conversational agent for a refreshable tactile display
Code	Start date	Value	Contact
3879	29 June 2026 (negotiable)	$2400 ($600 x 4 weeks)	Prof Ingrid Zukerman Email: ingrid.zukerman@monash.edu Research profile: Prof Ingrid Zukerman More information about project #3879
Prerequisites FIT3080
Additional details If shortlisted you are required to attend a zoom interview
Applications Applications closed on Friday, 15 May 2026.

Visual Analytics for Bir-Sensitive Wind Farm Planning
Code	Start date	Value	Contact
3880	29 June 2026 (negotiable)	$1920 ($480 x 4 weeks)	Dr Yidan Zhang Email: yidan.zhang@monash.edu More information about project #3880
Prerequisites Third-year students or above, preferably with experience in qualitative research (e.g., workshop/stakeholder analysis), data visualisation, and basic design/prototyping (e.g., translating insights into sketches). Familiarity with data handling and front-end programming is desirable.
Additional details If shortlisted you are required to attend an interview in the week of 15 June.
Applications Applications closed on Friday, 15 May 2026.

Separating reaching motions into meaningful stages through gaze detection
Code	Start date	Value	Contact
3881	29 June 2026 (negotiable)	$2000 ($500 x 4 weeks)	Dr. Robert Teather Email: rob.teather@monash.edu Research profile: Dr. Robert Teather More information about project #3881
Prerequisites Good development skills, math, experience conducting human participant studies is beneficial
Additional details Interviews will occur between June 19 and 25.
Applications Applications closed on Friday, 15 May 2026.

Building Automated Testing/Debugging/etc. Tools for Software Engineering
Code	Start date	Value	Contact
3882	29 June 2026 (negotiable)	$2000 ($500 x 4 weeks)	Dr. Yongqiang Tian Email: yongqiang.tian@monash.edu Research profile: Dr. Yongqiang Tian More information about project #3882
Prerequisites Computer Science or Software Engineering students familiar with at least one programming languages; willing to learn and explore new knowledge and skills. optional: have certain experience with testing and debugging. optional: know a software/hardware system well: compiler, debugger, AI, etc.
Additional details Check my homepage for previous projects. Please send me your full CV and transcripts for review. We may schedule a meeting for interview. I am open to change the project based on our common interests.
Applications Applications closed on Friday, 15 May 2026.

Time Series Classification, Calibration, and Uncertainty Quantification in LLMs/VLMs
Code	Start date	Value	Contact
3883	29 June 2026 (negotiable)	$2000 ($500 x 4 weeks)	Yunrui Zhang Email: yunrui.zhang@monash.edu Research profile: Yunrui Zhang More information about project #3883
Prerequisites Preferably third-year or above students who have completed machine learning and deep learning coursework, with strong Python programming experience. Knowledge of PyTorch and a solid probability/statistics background is a plus.
Applications Applications closed on Friday, 15 May 2026.

SafePhARm: Safe and Efficient Pharmacy Practice Through Augmented Reality
Code	Start date	Value	Contact
3884	29 June 2026 (negotiable)	$2400 ($600 x 4 weeks)	Dr Agnes Haryanto Email: agnes.haryanto@monash.edu Research profile: Dr Agnes Haryanto More information about project #3884
Prerequisites - Strong programming skills (e.g., Unity/C#) Knowledge on data visualisation Strong communication and organisational skills Basic understanding of qualitative research methods (e.g., interviews, observations) is desirable
Additional details Shortlisted applicants will be required to attend a brief interview as part of the selection process (dates to be confirmed). The selected student is expected to commit to the full duration of the winter scholarship program and actively participate in all research activities.
Applications Applications closed on Friday, 15 May 2026.

AI-facilitated AR Handover System for ICU Nurses
Code	Start date	Value	Contact
3885	29 June 2026 (negotiable)	$2400 ($600 x 4 weeks)	Dr Jiazhou Liu Email: joe.liu@monash.edu Research profile: Dr Jiazhou Liu More information about project #3885
Prerequisites Third-year/Honours Computer Science students or Master's students, preferably with Unity (C#) programming experience or VisionOS (SwiftUI) app development experience.
Additional details If shortlisted, you may be required to attend an interview.
Applications Applications closed on Friday, 15 May 2026.

Exploring NVIDIA Omniverse Kit to Develop a Medical Lab Digital Twin
Code	Start date	Value	Contact
3886	29 June 2026 (negotiable)	$1920 ($480 x 4 weeks)	Dr. Vahid Pooryousef Email: vahid.pooryousef@monash.edu Research profile: Dr. Vahid Pooryousef More information about project #3886
Prerequisites Preferred but not required: Third-year computer science or IT students Required skills: General software engineering and programming knowledge Experience in 3D modelling and animation
Additional details If shortlisted you are required to attend an interview between 20 - 29 May 20 2026.
Applications Applications closed on Friday, 15 May 2026.

Pupil Labs eye tracking for visualisation experimentation
Code	Start date	Value	Contact
3887	29 June 2026 (negotiable)	$2400 ($600 x 4 weeks)	Dr Sarah Goodwin Email: sarah.goodwin@monash.edu Research profile: Dr Sarah Goodwin More information about project #3887
Prerequisites 3rd or final year UG or Masters level software developer / engineer or data scientist, who is passionate about building tools that help people understand complex data. Comfortable working with different data formats; Good JavaScript skills and experience with data visualisation (D3.js or similar).
Additional details Interview will be on zoom and can be arranged too suit mutual availability.
Applications Applications closed on Friday, 15 May 2026.

Immersive Bali Digital Heritage Initiative Story
Code	Start date	Value	Contact
3888	29 June 2026 (negotiable)	$2400 ($600 x 4 weeks)	Kadek Satriadi Email: kadek.satriadi@monash.edu Research profile: Kadek Satriadi More information about project #3888
Prerequisites 3D modelling and animation, VR/AR development with Unity, good sense or art, interest in cultural heritage, committed to deliver
Additional details Shortlisted applicants may be invited to an interview to discuss interest, availability, and experience. Interviews will be held in May (exact times to be confirmed).
Applications Applications closed on Friday, 15 May 2026.

Biomolecular Interaction Models and Datasets
Code	Start date	Value	Contact
3889	29 June 2026 (negotiable)	$2000 ($500 x 4 weeks)	Huan Yee Koh Email: huan.koh@monash.edu Research profile: Huan Yee Koh More information about project #3889
Prerequisites Must be comfortable with using python, pytorch, and coding harness/agents and have a basic understanding of biology and chemistry datasets.
Additional details Please include a paragraph of why you chose to apply for this project.
Applications Applications closed on Friday, 15 May 2026.

Student Forum Post Sentiment Analysis
Code	Start date	Value	Contact
3890	6 July 2026 (negotiable)	$1200 ($600 x 2 weeks)	Dr. Dwi Rahayu Email: dwi.rahayu@monash.edu
Prerequisites Third-year bachelor's degree or second-year master's degree. Strong background in programming.
Applications Applications closed on Friday, 15 May 2026.

Documenting our human-centred computing research impact stories
Code	Start date	Value	Contact
3891	29 June 2026 (negotiable)	$2400 ($600 x 4 weeks)	Sarah Goodwin Email: sarah.goodwin@monash.edu Research profile: Sarah Goodwin More information about project #3891
Prerequisites Must have an interest in Human-Centred Computing research and be a very good spoken and written communicator and ideally a storyteller. Perhaps with an interest in media and communication. Optional ability to create and edit videos.
Additional details An online interview will be arranged for shortlisted candidates at a mutually convenient time.
Applications Applications closed on Friday, 15 May 2026.

Does Response Modality Bias Mean Estimation in Line Charts?
Code	Start date	Value	Contact
3892	29 June 2026 (negotiable)	$2000 ($500 x 4 weeks)	Associate Professor Michael Wybrow Email: michael.wybrow@monash.edu Research profile: Associate Professor Michael Wybrow More information about project #3892
Prerequisites Suits a student with some programming skills and an interest in human perception.
Additional details Please see project website for more information. If shortlisted, you may be required to attend a Zoom interview.
Applications Applications closed on Friday, 15 May 2026.

Multi-Agent Path Finding
Code	Start date	Value	Contact
3893	29 June 2026	$2000 ($500 x 4 weeks)	A/Prof Daniel Harabor Email: andy.li@monash.edu Research profile: A/Prof Daniel Harabor More information about project #3893
Prerequisites Algorithms, C++ programming, A* search
Additional details If shortlisted you are required to attend an interview in May or June.
Applications Applications closed on Friday, 15 May 2026.

Bias Beneath the Tone: Empirical Characterisation of Tone Bias in LLM-Driven UX Systems
Code	Start date	Value	Contact
3894	29 June 2026 (negotiable)	$2000 ($500 x 4 weeks)	Isma Farah Siddiqui Email: ismafarah.siddiqui@monash.edu Research profile: Isma Farah Siddiqui More information about project #3894
Applications Applications closed on Friday, 15 May 2026.

Graduates with Human-Centred Computing Background in AI-Mediated Work
Code	Start date	Value	Contact
3895	29 June 2026 (negotiable)	$2400 ($600 x 4 weeks)	Dr Ee Hui Lim, Dr Sanaz Nikfalazar, Dr Manika Saha Email: ee.lim@monash.edu Research profile: Dr Ee Hui Lim, Dr Sanaz Nikfalazar, Dr Manika Saha More information about project #3895
Prerequisites Interest in human-centred computing, HCI, or AI. Strong communication skills required. Prior coursework in HCI, UX, or qualitative research is desirable.
Additional details Shortlisted applicants may be invited to an interview to discuss interest, availability, and experience. Interviews will be held in May (exact times to be confirmed).
Applications Applications closed on Friday, 15 May 2026.

Co‑designing Teamwork Feedback for Computing Education
Code	Start date	Value	Contact
3896	29 June 2026 (negotiable)	$2400 ($600 x 4 weeks)	Dr Ee Hui Lim, Dr Sanaz Nikfalazar Email: ee.lim@monash.edu Research profile: Dr Ee Hui Lim, Dr Sanaz Nikfalazar More information about project #3896
Prerequisites Interest in computing education, HCI, or learning analytics. Familiarity with teamwork in computing projects. Basic understanding of qualitative methods or user-centred design desirable. Strong communication and organisation skills required.
Additional details Shortlisted applicants may be invited to an interview to discuss interest, availability, and experience. Interviews will be held in May.
Applications Applications closed on Friday, 15 May 2026.

Optimizing Vision-Language Models for Resource-Constrained Edge Devices
Code	Start date	Value	Contact
3897	29 June 2026 (negotiable)	$1000 ($250 x 4 weeks)	Dr. Mohammad Goudarzi Email: mohammad.goudarzi@monash.edu Research profile: Dr. Mohammad Goudarzi
Prerequisites Multi-Modal Deep Learning, Sensor Fusion, Transformer Architectures The As we aim to continue this project beyond the scholarship period, preference will be given to students interested in pursuing it further as an Honours project, Master’s by Research, or Final Year Project.
Additional details It aims to enable efficient edge AI:compress Vision-Language Models for low-power device and design lightweight multi-sensor fusion architectures. Focus on reducing latency, energy use, and memory while maintaining accuracy, with real-world deployment on embedded systems (in collab with Qatar CRI).
Applications Applications closed on Friday, 15 May 2026.

Optimizing Vision-Language Models for Resource-Constrained Edge Devices
Code	Start date	Value	Contact
3898	29 June 2026 (negotiable)	$1000 ($250 x 4 weeks)	Dr. Mohammad Goudarzi Email: mohammad.goudarzi@monash.edu Research profile: Dr. Mohammad Goudarzi
Prerequisites Multi-Modal Deep Learning, Sensor Fusion, Transformer Architectures The As we aim to continue this project beyond the scholarship period, preference will be given to students interested in pursuing it further as an Honours project, Master’s by Research, or Final Year Project.
Additional details It aims to enable efficient edge AI:compress Vision-Language Models for low-power device and design lightweight multi-sensor fusion architectures. Focus on reducing latency, energy use, and memory while maintaining accuracy, with real-world deployment on embedded systems (in collab with Qatar CRI).
Applications Applications closed on Friday, 15 May 2026.

Optimizing Vision-Language Models for Resource-Constrained Edge Devices
Code	Start date	Value	Contact
3899	29 June 2026 (negotiable)	$1000 ($250 x 4 weeks)	Dr. Mohammad Goudarzi Email: mohammad.goudarzi@monash.edu Research profile: Dr. Mohammad Goudarzi
Prerequisites Multi-Modal Deep Learning, Sensor Fusion, Transformer Architectures The As we aim to continue this project beyond the scholarship period, preference will be given to students interested in pursuing it further as an Honours project, Master’s by Research, or Final Year Project.
Additional details It aims to enable efficient edge AI:compress Vision-Language Models for low-power device and design lightweight multi-sensor fusion architectures. Focus on reducing latency, energy use, and memory while maintaining accuracy, with real-world deployment on embedded systems (in collab with Qatar CRI).
Applications Applications closed on Friday, 15 May 2026.

Optimizing Vision-Language Models for Resource-Constrained Edge Devices
Code	Start date	Value	Contact
3900	29 June 2026 (negotiable)	$1000 ($250 x 4 weeks)	Dr. Mohammad Goudarzi Email: mohammad.goudarzi@monash.edu Research profile: Dr. Mohammad Goudarzi
Prerequisites Skillset: Multi-Modal Deep Learning, Sensor Fusion, Transformer Architectures As we aim to continue this project beyond the scholarship period, preference will be given to students interested in pursuing it further as an Honours project, Master’s by Research, or Final Year Project.
Additional details This project aims to enable efficient edge AI:compress Vision-Language Models for low-power device and design lightweight multi-sensor fusion architectures. Focus on reducing latency, energy use, and memory while maintaining accuracy, with real-world deployment on embedded systems (in collab with Qatar CRI).
Applications Applications closed on Friday, 15 May 2026.

Fusing Multi-Sensor Modalities for Real-Time Multi-Modal Edge Intelligence
Code	Start date	Value	Contact
3901	29 June 2026 (negotiable)	$1000 ($250 x 4 weeks)	Dr. Mohammad Goudarzi Email: mohammad.goudarzi@monash.edu Research profile: Dr. Mohammad Goudarzi
Prerequisites Skillset: Multi-Modal Deep Learning, Sensor Fusion, Transformer Architectures As we aim to continue this project beyond the scholarship period, preference will be given to students interested in pursuing it further as an Honours project, Master’s by Research, or Final Year Project.
Additional details This Winter Scholarship project designs lightweight multi-sensor fusion models for edge devices. The student will work with Monash and QCRI researchers to develop efficient fusion strategies and deploy robust real-time perception models on embedded systems.
Applications Applications closed on Friday, 15 May 2026.

Multiple time-point Radiology Report Generation
Code	Start date	Value	Contact
3902	29 June 2026 (negotiable)	$1920 ($480 x 4 weeks)	Prof. Jianfei Cai Email: jianfei.cai@monash.edu Research profile: Prof. Jianfei Cai
Prerequisites Must have experience with deep-learning based radiology report generation (RRG). Have done project on visual grounding of RRG on single Chest X-Ray (CXR) images. This research will explore methods to visually ground RRG across multiple timepoints.
Additional details Only shortlisted students will be contacted and interviewed.
Applications Applications closed on Friday, 15 May 2026.

Deep Learning Based Floorplan Understanding
Code	Start date	Value	Contact
3903	29 June 2026 (negotiable)	$1920 ($480 x 4 weeks)	Prof. Jianfei Cai Email: jianfei.cai@monash.edu More information about project #3903
Prerequisites Must have experience on deep-learning based floor plan understanding. The project aims to apply Segment Anything Model (SAM) to help with floor plan understanding.
Additional details Only shortlisted applicants will be contacted and interviewed.
Applications Applications closed on Friday, 15 May 2026.