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Miscellaneous topics in Geophysical Fluid Dynamics

The project aims at improving modelling and understanding of global ocean processes that include currents, turbulence and mixing. more...

Supervisor(s): Chabchoub, Amin (Associate Professor)

Experimental studies on nonlinear wave hydrodynamics

The project aims at finding new characteristic propagation properties of uni-directional and directional nonlinear waves. more...

Supervisor(s): Chabchoub, Amin (Associate Professor)

Modelling of extreme ocean waves

The project aims at modelling and predicting of extreme waves in the ocean. more...

Supervisor(s): Chabchoub, Amin (Associate Professor)

Highly comparative time-series analysis

This research involves developing new methods for time-series analysis based on a new analytic framework for understanding structure in time series. more...

Supervisor(s): Fulcher, Ben (Dr)

Inferring the dimensionality of dynamical systems automatically using machine learning

This research will develop methods to infer the dimensionality of a dynamical system automatically, by adapting dimensionality reduction methods to high-dimensional time-series feat more...

Supervisor(s): Fulcher, Ben (Dr)

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)

Modular Character Sheaves on Lie Algebras

Developing a theory of character sheaves with modular coefficients on the Lie algebras of reductive groups. more...

Supervisor(s): Henderson, Anthony (Professor)

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)

A sensor driven approach to assessing health in honey bee colonies

This project aims to optimise honey bee colony health by developing low-cost sensor arrays. The supervisory team for this project also includes Dr Ash Rahman (Data61) and Dr Jo more...

Supervisor(s): Latty, Tanya (Dr)

New technologies for detecting, counting and identifying pollinators in the field

This project will leverage advances in image processing and machine learning to develop new techniques for high throughput sampling of pollinator populations in crops.  Th more...

Supervisor(s): Latty, Tanya (Dr)