Human Visual Search as a Deep Reinforcement Learning Solution to a POMDP

The project objective is to design computational models to aid in gaze-based eye tracking technology as a pointing modality.

Optimising flow within mobility systems with Artificial Intelligence

The objective of the project is to transition complex traffic management from static systems into dynamic, optimised systems that cities manage in real-time across many types of mobility.

Touchscreen Typing As Optimal Supervisory Control

This project presents a computational model of how people type on touch-screen keyboards. We explaore the role of visual attention being shared between the keyboard and the text area.