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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)

Remote monitoring solutions for beef cattle welfare and productivity

The focus of this PhD will be to develop and evaluate innovative methods to capture, analyse and optimise data derived from a range of technologies and sensors to optimise beef catt more...

Supervisor(s): Clark, Cameron Edward Fisher (Associate Professor), Garcia, Sergio (Yani) (Professor)

Advanced sensor and data analytics in pasture-based dairy systems

The focus of this PhD will be to develop and evaluate innovative methods to capture, analyse and optimise data derived from a range of technologies and sensors to optimise individua more...

Supervisor(s): Garcia, Sergio (Yani) (Professor), Clark, Cameron Edward Fisher (Associate Professor)

Disease Map - Big Data driven modelling and derivation of diseases and treatment response

BMIT excels at addressing bio-inspired and other real-world challenges with core computing and information technology research in image processing and informatics, computer vision, more...

Supervisor(s): Feng, David (Professor), Kim, Jinman (Associate Professor)

Machine learning in Multiscale Image-Omics

BMIT excels at addressing bio-inspired and other real-world challenges with core computing and information technology research in image processing and informatics, computer vision, more...

Supervisor(s): Feng, David (Professor), Kim, Jinman (Associate Professor)

Semantic-driven Multi-modal Biomedical Data Visualisation

BMIT excels at addressing bio-inspired and other real-world challenges with core computing and information technology research in image processing and informatics, computer vision, more...

Supervisor(s): Kim, Jinman (Associate Professor), Feng, David (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)

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)

Agent-based modelling, simulation and forecasting of epidemics

The research will involve theoretical work in information theory and network science, as well as computer agent-based simulations. It will aim to reveal fundamental theoretical conn more...

Supervisor(s): Prokopenko , Mikhail (Professor)