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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)

Do hydrological models cope with complex Australian catchments?

Climate change and rapid land use change has forced a rethink on hydrological models. Non-stationarity (where trends in time-series are non-linear or non-uniform) is now the norm, a more...

Supervisor(s): Vervoort, Willem (Associate Professor), Bishop, Thomas (Associate Professor), Van Ogtrop, Floris (Dr)

Time-series biomarkers of neurological disorders

This research will develop a new machine learning framework for finding and quantifying patterns of brain dynamics that distinguish patients with brain disorders from healthy contro 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)

Dynamic X-ray analysis of fibre reinforced concrete composites: from pouring to ultimate loads

The entire life cycle of a concrete member will be studied using dynamic X-ray tomography. This project will investigate the influence of mixing and pouring on the load carrying cap more...

Supervisor(s): Marks, Benjy (Dr), Dias-da-Costa, Daniel (Dr)

Computer vision techniques for forensic engineering and damage assessment in structures

This research will develop high-end technology based on computer vision for structural health monitoring and damage localisation in structures. more...

Supervisor(s): Dias-da-Costa, Daniel (Dr)

Computational modelling of fibre-reinforced concrete and other composites

The purpose of this research is to develop high-end computational tools for the design of fibre-reinforced concrete and other composites. more...

Supervisor(s): Dias-da-Costa, Daniel (Dr)

Development of constitutive models for self-healing cementitious and soil materials

This research will develop constitutive models to handle the mechanics of self-healing materials. more...

Supervisor(s): Dias-da-Costa, Daniel (Dr)