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Modelling the mechanisms of brain stimulation

Brain-stimulation techniques that modulate brain activity in a targeted way are growing in their clinical relevance, for example, with transcranial magnetic stimulation (TMS) being more...

Supervisor(s): Fulcher, Ben (Dr)

Real-time Low-power Neural Accelerator

This project aims at developing an Application-Specific Integrated Circuit (ASIC) for a low-power learning system processing real-time time-series data. more...

Supervisor(s): Kavehei, Omid (Dr)

Moderator Assistant and Cybermate: Engineering systems to support mental health

Helping participants of online communities thrive, support their pro-social behaviours and duty-of-care are challenging tasks. This is particularly difficult in the online peer supp more...

Supervisor(s): Calvo, Rafael A. (Associate Professor)

The power of perovskites

Metal halide perovskites have attracted global research attention in the last decade. While their application for solar is promising being the fastest advancing PV technology with m more...

Supervisor(s): Ho-Baillie, Anita (Professor)

The Perceptual Expertise of Skilled Game Players: What can they see that I can’t

With the ability to store millions of records of decisions people have made and the context in which they were made, we are left the interesting problem that we still do not know wh more...

Supervisor(s): Harre, Michael (Dr)

Modelling the catastrophe of a crash in the financial markets

Crashes in the financial markets have a staggering impact on the social and economic health of a country but we still have very little understanding of their causes and how they spr more...

Supervisor(s): Harre, Michael (Dr)

Teaching dumb agents to play smart games in economics

Economic game theory is one of the most powerful but  surprisingly simple tools we have to understand many of the key aspects of social interactions. This has included the evol more...

Supervisor(s): Harre, Michael (Dr)

Bayesian deep learning for incomplete information

This project will feature a synergy of deep learning, modular and multi-task learning with Bayesian methods to address the problem of decision making given incomplete information. more...

Supervisor(s): Cripps, Sally (Professor), Chandra, Rohitash (Dr)

Low-power Intelligent Bio-Signal Processing

This project aims at developing a responsive implant that is making decisions based on smart bio-signal processing. more...

Supervisor(s): Kavehei, Omid (Dr)

Data-intensive solutions for medical technologies

This project aims at developing advanced solutions in software for processing medical data, addressing the issue of less or no labelled data. more...

Supervisor(s): Kavehei, Omid (Dr)