Application Domains and Active Projects

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.

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.

Forest Wildfire Management

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

Medical Imaging

Use of Machine Learning for challenges in medical imaging.

Combustion Modelling

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

Computational Sustainability

Connecting Machine Learning with Global Sustainability challenges.

Multi-Vehicle Communication

Learning to communicate between vehicles efficiently and robustly.