The AI-based Discrete Optimisation research group is working on both targeted and generic solving techniques to address complex discrete optimisation problems, with the view to making optimisation technologies more widely accessible, across a range of applications. In particular, our team is focused on research that helps users (a) model and solve these problems more easily, (b) interrogate the system regarding the provided solution, and (c) interactively re-optimise based on additional user information. In this way, it has a ‘human-in-the-loop’ approach to Discrete Optimisation that makes our team quite unique.
Machine learning is the science behind big data, data mining, data science, and artificial intelligence. It enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. Over the last 10 years Machine Learning has grown to become a fundamental technology driving innovations: Self-driving cars, Siri the iPhone personal assistant, Netflix movie recommendations, cancer diagnosis, discovery of physics’ laws, and scientific progress. Our team covers Association discovery, Bayesian methods, causal models, classification, deep learning, forecasting, images, natural language analytics, online learning and learning from non-stationary distributions, semi-supervised models, spatio-temporal, text and time series analytics.
We are experimenting with research, design and implementation techniques in our Clayton campus to bring a new level of intelligence and decision making capability to service occupants in buildings. This ‘living laboratory’ approach enables our team to collect available data and user feedback to enhance facilities and security management, and to create comfortable spaces for students and staff while drastically reducing energy consumption.
Our energy visualisation and immersive analysis research groups are interested in helping people to understand complex, interlinked data through visualisation. Our work to date has focused on the problem of finding high-quality layout for network diagrams and human interaction with technologies. Our group has been working with large interactive surfaces and augmented and virtual reality – to help people perform data analysis.
Monash research in cybersecurity, cryptocurrency and blockchain has been supported by the Australian Research Council (ARC), Data 61 and industry partners. Our mission is to develop solutions to the security, privacy, reliability, trust, and performance issues of different system environments. Our cybersecurity lab at Monash University has strong collaboration between academics, industries and governments, both locally and internationally.
Our key areas of research include cryptography, blockchain, cryptocurrency technology, big data security, privacy enhanced technology, trusted computing, IoT security, biometric security, and network security.
Our research expertise spans areas including radio-frequency identification (RFID), smart antennas for mobile and satellite communications, electromagnetic bandgap structure assisted radio frequency (RF) devices, and various forms of antennas. Our capability extends into processing data obtained from sensor networks to visualise and interact with energy networks and applications.
The transport sector makes up close to a third of our energy consumption. The uncertainty in future oil production and the long term need to transition away from carbon-emitting fuel sources has suggested that an alternative source to fuel our transport needs is imminent.Monash has one of the largest and broadest capabilities in transport infrastructure research in the world. Our leading capabilities are railway engineering and public transport. We also have leading expertise in intelligent transport systems, traffic systems, road safety, industrial design in vehicles, transport modelling, light-weight metals for automotive and aerospace applications, logistics and supply chains, and aerodynamic testing of vehicles in our wind tunnel.
Globally, close to 3 billion people are without access to clean cooking facilities and close to 1 billion without electricity. The issue affects Indigenous communities in Australia and communities in emerging economies around the world. Our energy access group is working to accelerate the uptake of sustainable energy access through international interdisciplinary research partnerships between researchers and private, public, and not-for-profit organisations. Our capabilities include governance, energy technologies, optimised grids, visualisation of energy systems, participatory methods of engagement, and market systems for energy access.