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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)

Digital Agriculture and Irrigation data science

A research opportunity is available for an outstanding PhD scholar in the area of cotton research and development. Through the Cotton Research and Development Corporation, the more...

Supervisor(s): Roth, Guy (Associate Professor)

Harnessing the power of electronic medical records with data analytics in back pain

This program of research will evaluate the use of digital technology and data analytics to drive practice change and improve healthcare for back pain. more...

Supervisor(s): Machado, Gustavo (Dr), Maher, Chris (Professor)

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)

Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things

In this project, the channel code design problem for massive Internet of Things (IoT) is considered by taking into account the unique characteristic of massive IoT, i.e., short leng more...

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

Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design

Ultra-reliable and low latency communications is central to the development of next generation's mobile communications and many emerging mission critical applications. The project w more...

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

Real-time Low-power Neural Accelerator

This project aims at developing an Application-Specific Integrated Circuit (ASIC) for a low-power learning system processing real-time time-series data. more...

Supervisor(s): Kavehei, Omid (Dr)