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Neuromorphic AI

This project involves complex systems modelling of neuromorphic atomic switch networks to emulate emergent brain-like features of adaptive, deep-learning for application to Artifici more...

Supervisor(s): Kuncic, Zdenka (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)

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)

Socio-Technical Futures Lab – Recommendation Systems and Data

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)

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)

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)

Spatio-temporal data mining for mineral exploration

Interested in AI and Geoscience? Come and work with our dynamic EarthByte team. A fully-funded PhD scholarship for Australian or New Zealand citizens or permanent residents is avail more...

Supervisor(s): Muller, Dietmar (Professor)

Opportunity to conduct research into a longitudinal database of the data gathered for selection and assessment in the Sydney Medical Program. Research advice in design, sampling and analysis. Quantitative statistical expertise

Secondary analysis of admissions and assessment data collected as part of the Sydney Medical Program. We have a longitudinal database for over 10 years of data for students and ano more...

Supervisor(s): O’Mara, Deborah (Associate Professor)

Beyond Deep Blue: A complex network approach to playing chess

If you play chess, you may have noticed that often we have to calculate the net pressure on certain pieces (i.e how many pieces are 'attacking' it and how many pieces are defending more...

Supervisor(s): Piraveenan, Mahendra (Dr)