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Emergence of universal coding in evolutionary dynamics

The research will involve theoretical work in information theory as well as computer simulations. It will investigate complex systems approaches to one of the most fundamental probl more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Microscopic Origin of Ferromagnetism in Diluted Magnetic Semiconductors

This project aims to understand the microscopic origin of ferromagnetism in Diluted Magnetic Semiconductors, and to direct the fabrication of high quality Diluted Magnetic Semicondu more...

Supervisor(s): Zheng, Rongkun (Associate Professor)

Graphene: a journey of appreciation and exploration via computational simulations

This project aims to study several graphene-based nanostructures including nanoribbon, nanodots and nanoantidots and their optical, electrical and magnetic properties by first princ more...

Supervisor(s): Zheng, Rongkun (Associate Professor)

Implant electrode optimisation and neurolinguistics

The benefit provided by additional electrodes in medical implants is currently unknown. A typical cochlear implant only contains 12-22 electrodes to stimulate about 30,000 more...

Supervisor(s): McEwan, Alistair (Professor)

Subdivided electrodes to improve defibrillators and physiological measurements

Current defibrillators and physiological monitors (EEG, ECG etc) are limited by variations in contact impedance. This makes measurements difficult during movement of the subjec more...

Supervisor(s): McEwan, Alistair (Professor)

Electrical impedance modelling for implants

Neuromodulation implant stimulation and control is currently limited by the impedance of the surrounding tissue. The aim is to develop a 3D FEM computer model and an agar gel based more...

Supervisor(s): McEwan, Alistair (Professor)

Magnetic resonance electrical impedance tomography

MREIT is a new medical imaging method that allows the electrical conductivity of tissue to be directly measured in the MR scanner. It has high potential for implant design, monitors more...

Supervisor(s): McEwan, Alistair (Professor)

Computational intelligence, novelty generation and undecidability

The research will involve theoretical work in computational intelligence as well as computer simulations with cellular automata and other dynamical systems. It will aim to answer fu more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Leadership to Enable Entrepreneurship Inside Large, Bureaucratic Organizations

The research team is interested in expressions of interest in participants keen to engage in a work program inside some of the country's most complex private and public sector organ more...

Supervisor(s): Knight , Eric (Professor)

FPGA-based low latency machine learning

This project involves the design of novel low-latency trading systems by combining FPGA hardware and machine learning. more...

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