Your Search Results

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)

Towards a social networks model for understanding teaching and learning in the CPC

In this project, we are interested in understanding the role of social networks (both formal and informal) in learning. Theories in social learning suggest that students learn more more...

Supervisor(s): Chung, Kenneth (Dr)

Computational prediction of treatment outcome by machine learning

In this project we will implement and develop novel machine learning techniques to predict a best treatment plan for a patient. more...

Supervisor(s): Khushi, Matloob (Dr)

Machine learning and optimisation for modelling coral reef evolution

Globally, coral reef systems are under threat from major changes in environmental parameters (e.g. sea level, sea surface temperature, pH and water quality). Forward Forward Stratig more...

Supervisor(s): Webster, Jody (Associate Professor), Chandra, Rohitash (Dr), Salles, Tristan (Dr)

Medical Image Analysis with Machine Learning Techniques

Develop artificial intelligence for computer-assisted diagnosis from medical scans. more...

Supervisor(s): Zhou, Luping (Dr)

Neuromorphic AI

This project involves complex systems modelling of neuromorphic atomic switch networks to emulate emergent brain-like features of adaptive, deep-learning for application to Artifici more...

Supervisor(s): Kuncic, Zdenka (Professor)

Computational characterisation of trans-regulatory cell systems

This project aims provide enabling computational and statistical methods for characterising trans-regulatory networks in cell systems. The goal is to discover regulatory networks th more...

Supervisor(s): Yang, Pengyi (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)

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)