Application Domains and Active Projects

Driver Behaviour Learning (DBL)

This is a collaborative project with industry partner Magna International to collect real world data about human driving behaviour in order to enable training of accurate predictive models of human driving for modern ADAS.

Digital Chemistry

Studying how to automate material synthesis and discovery by training a Deep Reinforcement Learning system to plan and carry out chemical synthesis experiments to gather data and find efficient pathways to making new or known materials.

Medical Imaging

Use of Machine Learning for challenges in medical imaging.

Sustainable Forest Management

All research related to assessment, modelling, prediction and planning for the sustainable management of forest ecosystems and resources.

Forest Wildfire Management

Wildfire management is the study of managing, predicting, and mitigating risk of forest wildfires.

Computational Sustainability

Connecting Machine Learning with Global Sustainability challenges.

Multi-Vehicle Communication

Learning to communicate between vehicles efficiently and robustly.

Combustion Modelling

Supervised learning of fast, compact models for calculations needed to simulate combustion.