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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)

Analytical Modelling for Landslide’s Prediction

Accurate modelling of landslides allows the prediction of the movements of accelerating landmasses. A successful and early prediction provides populated areas a warning of large mas more...

Supervisor(s): Alonso-Marroquin, Fernando (Dr)

Agent-Based model of stock markets

It is a matter of fact that a majority of people are affected directly or indirectly by stock market activity. They are affected directly, by trading assets in stock markets, and in more...

Supervisor(s): Alonso-Marroquin, Fernando (Dr)

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)

Discrete Element Simulations of Human Crowds

In an increasingly populated world the importance of building architecture that is able to handle dense events is becoming increasingly significant. Crowd events cover a wide scope more...

Supervisor(s): Alonso-Marroquin, Fernando (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)