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High strain rate behaviour of engineering materials

This study is a part of ongoing research to develop lightweight materials that can sustain severe loading conditions. The Split Hopkinson Pressure Bar (SHPB) method will be used for more...

Supervisor(s): Mohotti, Damith (Dr)

Traffic Programming - Algorithms for Cooperative Behaviour among Unconnected AVs

Current AV algorithms aim to safely manoeuvre a vehicle through traffic without involving humans. These algorithms do not consider implications on the efficiency of traffic as a who more...

Supervisor(s): Levinson, David (Professor)

Evaluation of possible head Injuries in construction and sport fields

This research is geared towards studying the behaviour of a human head during the event of an impact in sport or construction fields. Experimental and numerical studies will be carr more...

Supervisor(s): Mohotti, Damith (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)

Investigating factors affecting the impact of interventions to improve referral of colorectal cancer patients with a high likelihood risk of Lynch Syndrome

Lynch syndrome (LS) is an inherited cancer syndrome which significantly increases a carrier's lifetime risk of several cancers, most notably colorectal cancer (CRC).  Recent Au more...

Supervisor(s): Taylor, Natalie (Associate Professor)

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)

New technologies for detecting, counting and identifying pollinators in the field

This project will leverage advances in image processing and machine learning to develop new techniques for high throughput sampling of pollinator populations in crops.  Th more...

Supervisor(s): Latty, Tanya (Dr)

Turbulent transport of algae in stably stratified rivers: a computational fluid dynamics study

In stably stratified shear flows, turbulent mixing is suppressed by the background stratification. In rivers, these conditions allow buoyant cyanobacteria to float to the surface an more...

Supervisor(s): Williamson, Nicholas (Dr), Armfield, Steven (Professor)

Turbulent mixing in stably stratified flow: a laboratory and field based study

In stably stratified shear flows, turbulent mixing is suppressed by the background stratification. This project will examine this dynamic using laboratory experiments and field meas more...

Supervisor(s): Williamson, Nicholas (Dr), Armfield, Steven (Professor)