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. 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. 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. Multi-Vehicle Communication Learning to communicate between vehicles efficiently and robustly. Computational Sustainability Connecting Machine Learning with Global Sustainability challenges. Combustion Modelling Supervised learning of fast, compact models for calculations needed to simulate combustion. Related Pages: previously completed projects
