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Occupational challenges of cancer survivorship

We are exploring the experience of cancer survivorship for a variety of cancer groups, and how people manage any cognitive changes related to their cancer or its treatment, and how more...

Supervisor(s): Mackenzie, Lynette (Associate Professor)

Allied health practice in primary health settings

We have a grant looking at falls prevention in primary health amongst older people, but there are other opportunities to explore allied health practice in primary health settings, a more...

Supervisor(s): Mackenzie, Lynette (Associate Professor)

REBOUND EFFECTS AND ADDITIONALITY IN CARBON FOOTPRINTS OF GLOBAL TOURISM

This project will employ multi-region input-output analysis (Isard 1951; Leontief 1953) and a comprehensive global database (Lenzen et al. 2012; Lenzen et al. 2013; Lenzen et al. 20 more...

Supervisor(s): Lenzen, Manfred (Professor), Malik, Arunima (Dr)

Investigating the impact of pain after the first ankle on development of chronic ankle instability

This project consists of a series of longitudinal studies investigating the impact of pain on development of chronic ankle instability after an index (first) ankle sprain. more...

Supervisor(s): Pourkazemi, Fereshteh (Dr), Hiller, Claire (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)

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)

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)

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)

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)

Do hydrological models cope with complex Australian catchments?

Climate change and rapid land use change has forced a rethink on hydrological models. Non-stationarity (where trends in time-series are non-linear or non-uniform) is now the norm, a more...

Supervisor(s): Vervoort, Willem (Associate Professor), Bishop, Thomas (Associate Professor), Van Ogtrop, Floris (Dr)