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Online digital mapping for better farm management

Digital agriculture draws decision to support on-farm management from a suite of soil and environmental data. Soil and many environmental data in Australia are currently available a more...

Supervisor(s): Minasny, Budiman (Professor)

Composition and Music Technology

The Composition and Music Technology Unit teaches all facets of musical composition, encouraging advanced students to specialise and create more ambitious work. Our students learn c more...

Supervisor(s): Hindson, Matthew (Professor), Boyd, Anne (Professor), Zavada, Ivan (Dr), Smetanin , Michael (Dr), Vine, Carl (Mr)

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)

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)

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)

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)

Non-orthogonal multiple access for massive Internet of Things

Non-orthogonal multiple access (NOMA) has been identified as a key technology in the fifth generation of mobile wireless standards to improve the network capacity. This project aims more...

Supervisor(s): Shirvanimoghaddam, Mahyar (Dr), Vucetic, Branka (Professor)

FPGA-based low latency machine learning

This project involves the design of novel low-latency trading systems by combining FPGA hardware and machine learning. more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)

Contemporary Art

Sydney College of the Arts is dedicated to providing established artists the opportunity to undertake advanced and original research. SCA offers two research degrees in contemporary more...

Supervisor(s): Rrap, Julie (Dr), Backen, Robyn (Ms), Bailey, Stuart (Dr), Beardmore, Rebecca (Ms), Doolan, Michael (Dr), Findeis, Karin (Dr), Gavan, Jane (Dr), Geczy, Adam (Dr), Guy, Jan (Ms), Haines, David (Mr), Hinterding, Joyce (Ms), Lavery, Andrew (Mr), Smith, Oliver (Mr), Broinowski, Anna (Dr), Kelly, Madeleine (Dr), Gawronski, Alex (Dr), Tonkin, John (Mr), Mestrom, Sanné (Dr), Popescu, Stefan (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)