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Data-intensive solutions for medical technologies

This project aims at developing advanced solutions in software for processing medical data, addressing the issue of less or no labelled data. more...

Supervisor(s): Kavehei, Omid (Dr)

Formation of road corrugation and ruts

The project aims at identifying the traffic conditions leading to the formation of road washboard and ruts. more...

Supervisor(s): Rognon, Pierre (Dr)

Real-time Low-power Neural Accelerator

This project aims at developing an Application-Specific Integrated Circuit (ASIC) for a low-power learning system processing real-time time-series data. more...

Supervisor(s): Kavehei, Omid (Dr)

Tree root anchoring: a biomimetic approach to foundation design

The project aims at finding new foundation designs inspired by tree roots. more...

Supervisor(s): Rognon, Pierre (Dr)

Advanced orchard mapping systems using robotics, sensing and perception

The aim of the project is to research and develop intelligent orchard mapping systems that provide timely, high resolution data to support farm management. more...

Supervisor(s): Underwood, James (Dr)

Computational Fluid Dynamics (CFD) modelling of gas-liquid two phase flow in bubble columns, photo-reactors and membrane bioreactors

The project aims to extend existing modelling techniques that have been applied to bubble column bioreactors used for fermentation processes to the study of photo-bioreactors used i more...

Supervisor(s): Fletcher, David (Professor), Kavanagh, John (Dr)

Low-power Intelligent Bio-Signal Processing

This project aims at developing a responsive implant that is making decisions based on smart bio-signal processing. more...

Supervisor(s): Kavehei, Omid (Dr)

strategic power system operation and planning to secure energy sustainability

The HDR (higher degree research) student applicants should have background in one of the following areas: 1) power system optimisation and control; 2) electricity market modelling a more...

Supervisor(s): Qiu, Jeremy (Dr)

Medical Image Analysis with Machine Learning Techniques

Develop artificial intelligence for computer-assisted diagnosis from medical scans. more...

Supervisor(s): Zhou, Luping (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)