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Drawing Algorithms for Almost Planar Graphs

The project aims to develop graph drawing algorithms under a number of constraints related to planarity. more...

Supervisor(s): Hong, Seok-Hee (Professor)

Semi-parametric estimation of Autoregressive Conditional Duration (ACD) models

Method of Maximum Likelihood (ML) is used to estimate ACD model parameters. Estimating Function (EF) is a popular semi-parametric approach in time series modelling. This project dev more...

Supervisor(s): Peiris, Shelton (Associate Professor)

Algorithms for Drawing Non-Planar Graphs in Three Dimensions

The project aims to design and implement new graph drawing algorithms for non-planar graphs in three dimensions, under a number of new design constraints. more...

Supervisor(s): Hong, Seok-Hee (Professor)

Medical diagnostics for neonates in the developing world

There is an urgent clinical need to develop diagnostic devices to assess the health of newborns. For example the World Health Organisation estimates that malnutrition contributes to more...

Supervisor(s): McEwan, Alistair (Professor), Jin, Craig (Associate Professor), Leong, Philip (Professor)

Electrical Impedance Tomography for stroke, biophysical monitoring and medical device design

This project will involve simulation and test of an impedance spectroscopy device using electrical impedance models and saline based phantoms for its applicability in monitoring str more...

Supervisor(s): McEwan, Alistair (Professor), Jin, Craig (Associate Professor), Leong, Philip (Professor)

Impedance tomography for cardiac imaging: high speed tomography

This project will involve the development of a high speed 3D Electrical Impedance Tomography device for chest imaging to determine pulmonary and cardiac function. more...

Supervisor(s): McEwan, Alistair (Professor), Jin, Craig (Associate Professor), Leong, Philip (Professor)

Computational investigation of high affinity ligand binding to proteins

Design of high-affinity ligands for protein targets using docking, molecular dynamics simulations and quantitative structure-activity relations. more...

Supervisor(s): Kuyucak, Serdar (Associate Professor)

Sound practice: Supporting sustainable careers in orchestral musicians through Occupational Health and Safety initiatives

Sound practice project. more...

Supervisor(s): Ackermann, Bronwen (Dr)

A Musicians’ health curriculum initiative. Developing a health module for use within the tertiary music sector

The education initiative project aims to minimise injury risk and enhance the physical aspects of performance. more...

Supervisor(s): Ackermann, Bronwen (Dr)

Magnetic resonance micro-imaging of human and animal tissue.

Use of magnetic resonance microimaging of human and animal tissue to study disease processes. more...

Supervisor(s): Bourne, Roger (Dr)