Mark Crowley | projects

Also see broader areas of research based on Research Topics and Domains

CSA - Multi-modal Sensor Processing for Forest Modelling

Using multi-modal remote sensing data (LiDAR, drones, satellite, etc.) to build generative models of forests.

Forest Wildfire Management

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

Antibody Discovery

Using Data Science, AI, and ML to improve search for promising antibody drugs

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.

Computational Sustainability

Connecting Machine Learning with Global Sustainability challenges.

Medical Imaging

Use of Machine Learning for challenges in medical imaging.

Multi-Vehicle Communication

Learning to communicate between vehicles efficiently and robustly.

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.