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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)

Utility of Cerebrospinal fluid proteomics to define molecular mechanisms in brain disease of childhood.

Brain diseases of childhood are very common and result in significant disability, and cost to the nation. Common diseases include epilepsy, cerebral palsy, autism and mental health more...

Supervisor(s): Dale, Russell (Professor)

Resuscitation monitors for the neonatal intensive care uni (NICU)

Development (design and fabrication) of a portable and wireless lung function monitor for the resuscitation of neonates. The project will involve embedded electronics, Labview progr more...

Supervisor(s): McEwan, Alistair (Professor)

Traumatic spinal surgery procedures, timing and patient outcomes across NSW

A prospective observational study has recruited patients across NSW with acute traumatic spinal cord injury (TSCI) over 3 years. Patient data and follow up interviews have been augm more...

Supervisor(s): Sharwood, Lisa (Dr)

Playground standards and fall height: is there evidence of their impact on paediatric head injuries?

The objective of the Australian Standard (AS) for Playgrounds (AS4685) is to minimize the risk of injury to playground users. It provides requirements for siting, designing and deve more...

Supervisor(s): Sharwood, Lisa (Dr)

Understanding disease progression and comorbidities using multi-omics and clinical information

This research project aims at exploring clinical and multi-omics data to improve our present understanding of disease progression, transition and comorbidities. To achieve this aim, more...

Supervisor(s): Uddin, Shahadat (Dr)

Retaining Military Personal Model: Adequacy, Robustness and Simplicity

The project will focus on implementing Partial Least Squares Path Modelling techniques to determine the military turnover drivers and their contribution to turnover.  An econom more...

Supervisor(s): Jajo, Nethal (Dr), Peiris, Shelton (Associate Professor)

Predictive disease modelling using Big data analytics and Complex network methods

This research project aims to mine administrative claim dataset to develop predictive models for individual chronic disease as well as for the comorbidity of multiple chronic diseas more...

Supervisor(s): Uddin, Shahadat (Dr)

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)

Inverse Methods for Characterising Hydraulic Properties of Soils Under Unsaturated Conditions

New indirect methods for estimating material properties of partially saturated soils are developed based on infiltration tests and inversion of multi-phase hydro-mechanical equation more...

Supervisor(s): El-Zein, Abbas (Professor)