Research projects in Information Technology

Digital health (DH) technologies promise significant improvements in healthcare delivery, but their successful implementation requires rigorous evaluation to ensure they meet clinical and operational needs.

There is a key opportunity for specialist work in an emergent intersection area which we can call Value-Based Digital Health (VBDH).

To expand further, VBDH is a discipline area that sits at the intersection of DH, HTA and IS and is focused on defining, delivering and measuring value in all parts of the lifecycle of DH products. (Prof C Bain, 2024)

In order to achieve ubiquitous success in AI for Pathology around the world (in particular in histopathology), a number of key technical issues and challenges need to be addressed. These - and potential remedial approaches - will be explored in this research program and they include (as examples): 

Understanding protein structures is fundamental in food science, but traditional 2D representations often fail to convey their complex 3D shapes and interactions. This project aims to develop VR/AR applications that allow users to explore protein structures interactively and immersively, enhancing comprehension of protein function, behavior, and their roles in food systems.

Exciting opportunities to work on a new Discovery Project: Enhancing learner feedback literacy using AI-powered feedback analytics!

Project description:

This scholarship opportunity is open to domestic applicants who identify as Aboriginal or Torres Strait Islander.

Our industry partners are developing software for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and developing drug and vaccine treatments.

Modern AI techniques can provide powerful models for classifying and understanding protein structures, but expert supervision is required in the development, training and deployment of these models into automation scenarios.

We seek to explore opportunities and challenges for the use of Extended Reality (XR) technologies (including augmented and virtual reality, as well as mixed-reality interaction techniques) to support surgeons, operating room technicians, and other professionals in and around operating room activities. Particular areas that may be explored are:

Mobile and continuous health monitoring has seen major advancements in recent years. The capabilities of current mobile phones and their built-in sensors have inspired many mobile sensing applications for monitoring individuals' health, activities and social behaviour. Yet, there is a lack of common and standard guidelines in developing mobile sensing apps (from both software development and UI perspectives) and their evaluation. 

Current federated learning architectures in mobile healthcare are limited to a centralised model without considering the full continuum of mobile-edge-cloud. Additionally, to support different data privacy needs of patients as well as the limitations of mobile environments, there is a need for considering a multi-level federated learning architecture for the mobile-edge-cloud continuum.