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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)

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)

Socio-Technical Futures Lab – Artificial Intelligence

Emerging technologies such as machine vision, AR/VR, AI and recommendation systems raise profound questions about the relationship between technology and society, and how these tech more...

Supervisor(s): Goggin, Gerard (Professor), Carter, Marcus (Dr)

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)

Socio-Technical Futures Lab – Augmented Reality and Virtual Reality: AR/VR

Emerging technologies such as machine vision, AR/VR, AI and recommendation systems raise profound questions about the relationship between technology and society, and how these tech more...

Supervisor(s): Goggin, Gerard (Professor), Carter, Marcus (Dr)

Computerised image analysis of musculoskeletal diagnostics and surgical planning

This research opportunity covers the projects for Diagnostic Imaging Theme of the ARC Centre for Innovative BioEngineering,  a multidisciplinary collaboration among researchers more...

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

Socio-Technical Futures Lab – Machine Vision

Emerging technologies such as machine vision, AR/VR, AI and recommendation systems raise profound questions about the relationship between technology and society, and how these tech more...

Supervisor(s): Goggin, Gerard (Professor), Carter, Marcus (Dr)

Geometric Networks in the Presence of Obstacles

This research project aims to discover properties of geometric networks in the presence of obstacles. These properties will be used to design improved geometric networks and facilit more...

Supervisor(s): vanRenssen, Andre (Dr)

Routing in Geometric Networks

This research project aims to compare a number of routing algorithms developed for geometric networks. Some of these algorithms come with theoretical guarantees, but we aim to see w more...

Supervisor(s): vanRenssen, Andre (Dr)

STUDIES OF VARIABLE OR CONSERVED SURFACE PROTEIN SITES OF NEISSERIA MENINGITIDIS AS EPITOPES FOR STRAIN-SPECIFIC VACCINES OR BROAD-STRAIN (UNIVERSAL) VACCINES

The gram-negative Neisseria Meningititis (NM) remains a significant microbial problem and particularly lethal for the very young. Serogroup B strains are particularly troublesome an more...

Supervisor(s): Lynch, Garry (Dr)