Research events
Research events
Our world-class researchers operate at the very forefront of technological innovation and development. But don’t just take our word for it. Come to one of our seminars and witness for yourself the insights and developments from our teams.
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Computing with Quantum Processors
Computing has become an integral part of nearly all social and economic aspects, underpinning every facet of life such as...
Trajectory Imputation and Generation using Simple Probabilistic Language Models
Trajectory data collected by GPS has found many critical applications. Unfortunately, most trajectory datasets have missing data due to technical...
From Earth to Space: Enabling an Intelligent, Connected World with AI-Driven Cyber-Physical Systems
The convergence of artificial intelligence, pervasive sensing, and distributed computing is transforming cyber-physical systems across terrestrial and space domains. This...
Sensing Bodies to Support Care: Affective Computing for Health and Wellbeing
Affective computing and body-sensing technologies are opening new possibilities to enhance wellbeing and transform healthcare. By analysing and modelling human...
Client Simulation and Topic Exploration: Lessons learned from Developing Conversational Counselling Agents
Conversational counsellor agents have become essential tools for addressing the rising demand for scalable and accessible mental health support. In...
New Generation Narrative Techniques in Education: Gen-AI-powered Digital Data Storytelling
Digital data storytelling is a very recent concept that has yet to be explored and requires further study in the...
Pillars of Value in Digital Health
Join us for an engaging online seminar exploring Pillars of Value within Digital Health to address the question:"How can we...
The Imperative for Open Science with Professor Martin Hellman
In 1945, the United States tested the first atomic bomb. Just four years later, the Soviet Union detonated its own.For...
Securing IoT-enabled Critical Infrastructure
The speaker will present an overview of our joint CSCRC research project with Cisco on securing critical infrastructure that adopts...
AI as a tool to accelerate protein discovery and protein design
The Department of Data Science and AI welcomes Dr Gavin Knott from the Monash Biomedicine Discovery Institute to present on...
Computers and elections - reflections on not trusting distrust
This talk will survey election verification efforts with a focus on Australia. She will describe the options for using statistical...
Remote Sensing and Geospatial Technologies for Sustainable Development
Geospatial technologies use many types of sensor data integrated with location for achieving sustainable development goals. These tools are fast...
Cryptography Meets Game Theory: A Match For Fair Exchange
Fair exchange is one of the most fundamental human-to-human activities in a society. In a simple case, we have two...
Scalable and Secure Management of Edge-Cloud IoT Microservices
This seminar focuses on architecting, prototyping, and deploying distributed software systems for efficient and secure management of microservices within multi-domain...
Speculative Execution and Cache Attacks
Speculative execution is a strategy to improve CPUs' performance by executing instructions prior to knowing whether those instructions will need...
The Long Trajectory to Trajectory Privacy
Our movements disclose a wealth of sensitive information about us - from our secret habits to religious and political opinions....
Secret-shared Shuffle with Malicious Security
A secret-shared shuffle (SSS) protocol permutes a secret-shared vector using a random secret permutation. Chase et al.(Asiacrypt'20) recently proposed a...
Attacking Reinforcement Learning Agents via Data Poisoning and How to Defend
Bandit algorithms and Reinforcement Learning models have been widely used in many successful applications in the recent years. However, it...
Local intrinsic dimensionality and its applications for anomaly detection and self supervised learning
In this seminar, we will review a measure known as Local Intrinsic Dimensionality (LID), which can be used for characterizing...
CCA-1 Secure Updatable Encryption with Adaptive Security
Regularly changing encryption keys is widely recognized as an effective approach to mitigate the risk of key compromise, especially when...
Security Through Transparency - An Old Idea Recently Resurrected
Most systems today achieve security in two ways. The first is to prevent bad things from happening, e.g. blockchain systems...
zkMatrix: Batched Short Proof for Committed Matrix Multiplication
Matrix multiplication is a common operation in applications like machine learning and data analytics. To demonstrate the correctness of such...
User-centered Privacy Enhancement in AI Systems Driven by Policy and Regulatory Principles
Privacy is an essential aspect in Responsible AI, and many regional regulations (e.g., EU GDPR) have been launched to address...
The Design of El Capitan, the NNSA Exascale System
Livermore Computing (LC), Lawrence Livermore National Laboratory's (LLNL's) supercomputing center, and HPE are deploying the first US exascale system focused...
Efficient Distributed Machine Learning: Joint Algorithm and System Approach
Distributed machine learning is gaining popularity due to its advantages in flexibility, scalability, and privacy. However, it inevitably causes large...
SHARE 2023 - Sharing about Healthcare Artificial intelligence REgionally
Join us at the inaugural workshop ‘SHARE 2023 - Sharing about Healthcare Artificial intelligence REgionally’ – a transnational exploration into...
Data Confidentiality Beyond Differential Privacy
Machine learning on personal and sensitive data raises privacy concerns and creates potential for inadvertent information leakage (e.g., extraction of...
Encrypted Search
The area of Encrypted Search focuses on the design, analysis and implementation of cryptographic protocols that allow users to query...
Designing for Inclusivity
Do you value diversity, equity, and inclusion in your institution? If so, are the products that you are creating equitable...
Getting to the ‘heart’ of it with digital health
In the rapidly-evolving landscape of cardiovascular healthcare, digital health tools have shaped our approach to diagnosis, treatment and management. Delving...
An Introduction to the Persona Concept and Its Application in Practice
A persona is a description of a fictitious individual that encapsulates relevant traits of potential users of some proposed software...
Recent Advance of Two-Sample Testing and Its Application in AI Security
Two-sample tests ask, "given samples from each, are these two populations the same?" For instance, one might wish to know...
Vizard: A Metadata-hiding Data Analytic System with End-to-End Policy Controls
Owner-centric control is a widely adopted method for easing owners' concerns over data abuses and motivating them to share their...
Equity by name and nature – and the role of digital health
Limited access to digital health technology for marginalised individuals and communities is an ongoing challenge in healthcare and research progress.To...
Better Identifying and Addressing Diverse Issues in mHealth and Emerging Apps
Since the COVID-19 outbreak, the number of people using mobile apps in general and mHealth apps, in particular, has skyrocketed....
Unlocking the mysteries of the brain with digital health
Thanks to advances in digital health technologies, neuroscience is making groundbreaking discoveries in our understanding of the brain – from...
Emerging Software Engineering Techniques for Stemming Software Accessibility Issues
The ability to use software with ease is important for everyone, especially for approximately 15% of the world population with...
Deans Seminar - Software for Fast Storage Hardware
Storage technologies have entered the market that are vastly superior to conventional storage devices, requiring acomplete rethinking of the software...
A Cryptographer's View of the US Stock Market
This talk will describe upcoming work to provide foundational definitions for information leakage in stock trading data, inspired by existing...
Digital twins – twice the value?
Digital twins are virtual replicas of patients, devices, or healthcare systems. Enabling tailored treatment, healthcare providers can assess patients without...
Building Fair Natural Language Processing Technologies
Automatic models of human language often exhibit unfairness, typically through capturing or even amplifying problematic biases in the training corpora....
Achieving Physical-Layer Security in Programmable Wireless Networks
The broadcasting nature of wireless networks makes exposure to eavesdroppers a realistic threat. Physical Layer Security (PLS) has been widely...
Human Biometrics Between Reality and Fantasy
Biometric recognition is a rapidly evolving field that uses physical and behavioral characteristics to accurately identify individuals. Some common biological...
Understanding understanding. Why we can't rely on LLMs for safe AI
Recently released chatbots such as ChatGPT have shown remarkable achievements, resulting in their rapid application in numerous fields. However, there...
Optimising EMRs: Challenges and opportunities in achieving maximum impact
Electrical Medical Records (EMR) can be powerful tools for improving patient care and efficiency in healthcare. But how do we...
Model-Driven Engineering of Assistive Systems
Assistive systems need information about human activities as well as the context of a person to provide meaningful support to...
CSI 2.0: Tech-driven forensic medicine
Imagine conducting an autopsy without touching a body. Or identifying someone’s location through the minerals in their hair. Welcome to...
Using Agent in Digital Twins to Model mis/dis/mal-information
Digital twins are increasingly used by businesses to model business processes. In networked industries, the digital twin model can be...
Unclonable Polymers and Their Cryptographic Applications
We propose a mechanism for generating and manipulating protein polymers to obtain a new type of consumable storage that exhibits...
‘Virtually there in virtual care’
In a perfect world, what would virtual care look like? Are we reaching for the stars - or is it...
Cryptography in Blockchains and Their Applications
Conceptualized 12 years ago as a core component of Bitcoin, blockchain has gained a vast amount of interest. Informally speaking,...
Universal Barriers: What Are They and How Might They Relate to Digital Security
Accessible and inclusive digital security is an emergent area of security technology and service design. In the UK there is...
CryptOpt: Verified Compilation with Random Program Search for Cryptographic Primitives
Most software domains rely on compilers to translate high-level code to multiple different machine languages, with performance not too much...
The evolution of Ouroboros: A proof-of-stake implementation of Nakamoto’s vision
The release and wide adoption of Bitcoin has demonstrated how Byzantine consensus can be performed on a global scale. However,...
Dean's Seminar Series: Practical Reliability Analysis of GPGPUs in the Wild: from Systems to Applications
Speaker: Professor Evgenia SmirniAbstractGeneral Purpose Graphics Processing Units (GPGPUs) have rapidly evolved to enable energy-efficient data-parallel computing for a broad...
What do Resilient Computing and Digital Health have in common?: Dr Paulo Esteves-Verissimo [Dean's Seminar Series]
Speaker: Dr Paulo Esteves-Veríssimo, University of Luxembourg, SnT, CritiXAbstractComputing and communications infrastructures have become commodities that transact huge quantities of...
Green Data Mining: Professor Katharina Morik [Dean's Seminar Series]
Speaker: Professor Dr Katharina Morik, TU Dortmund University, Faculty for Computer Science, Artificial IntelligenceAbstractIn September 2015, the general assembly of...
Dr. Michel Valstar: Facial Expression Recognition in the Age of Deep Learning
Speaker: Dr. Michel ValstarAbstractBehaviomedics is the application of automatic analysis and synthesis of affective and social signals to aid objective...
Dean's Seminar Series: Professor Tina Eliassi-Rad
In his 1997 Machine Learning textbook, American computer scientist Tom Mitchell defined the well-posed learning problem as follows:A computer program...
Dean's Seminar Series: Professor Padhraic Smyth
Deep learning techniques have received widespread attention in recent years for their impressive performance across a range of prediction problems...
Dean's Seminar Series: Professor Ron Kaplan
We all want to receive fast and accurate search results, however, sometimes the search results fail to match the information...
Dean's Seminar Series: Improving Software Development Productivity Minute-by-Minute
Everyone seems to want more software developed and produced faster. Yet simply ramping up the number of individuals able to...