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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)

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)

Spatio-temporal geodata mining

Observations suggest that fundamental evolutionary cycles on Earth, including major sea-level fluctuations and pulses of deep Earth resource formation are linked to tectonic and dee more...

Supervisor(s): Muller, Dietmar (Professor), Chandra, Rohitash (Dr)

Dynamic Earth models, landscape dynamics, and basin evolution in the Phanerozoic

This project is designed to understand the interconnections between mantle dynamics, plate tectonics, paleogeography, basin evolution, and continental shelves. The project will inve more...

Supervisor(s): Muller, Dietmar (Professor), Salles, Tristan (Dr), Chandra, Rohitash (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)