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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)

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 (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)

Semantic-driven Multi-modal Biomedical Data Visualisation

BMIT excels at addressing bio-inspired and other real-world challenges with core computing and information technology research in image processing and informatics, computer vision, more...

Supervisor(s): Kim, Jinman (Associate Professor), Feng, David (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)

Contemporary Art

Sydney College of the Arts is dedicated to providing established artists the opportunity to undertake advanced and original research. SCA offers two research degrees in contemporary more...

Supervisor(s): Rrap, Julie (Dr), Backen, Robyn (Ms), Bailey, Stuart (Dr), Beardmore, Rebecca (Ms), Doolan, Michael (Dr), Findeis, Karin (Dr), Gavan, Jane (Dr), Geczy, Adam (Dr), Guy, Jan (Ms), Haines, David (Mr), Hinterding, Joyce (Ms), Lavery, Andrew (Mr), Smith, Oliver (Mr), Broinowski, Anna (Dr), Kelly, Madeleine (Dr), Gawronski, Alex (Dr), Tonkin, John (Mr), Mestrom, Sanné (Dr), Popescu, Stefan (Dr)