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Visual Communication in Space and Time

Colour in nature is a central channel of communication, though its study has progressed without consideration of the inherent fluidity of information exchange.  This project se more...

Supervisor(s): White, Thomas (Dr)

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)

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)

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)

Playground standards and fall height: is there evidence of their impact on paediatric head injuries?

The objective of the Australian Standard (AS) for Playgrounds (AS4685) is to minimize the risk of injury to playground users. It provides requirements for siting, designing and deve more...

Supervisor(s): Sharwood, Lisa (Dr)

Empirical evidence of habits and patterns in public transport use

Demand for public transport systems is determined by high-level strategic decisions (home and work location choices), habits (preferred routes and modes) and real-time response more...

Supervisor(s): Moylan, Emily (Dr)

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)

Data-intensive solutions for medical technologies

This project aims at developing advanced solutions in software for processing medical data, addressing the issue of less or no labelled data. more...

Supervisor(s): Kavehei, Omid (Dr)

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)

Medical Image Analysis with Machine Learning Techniques

Develop artificial intelligence for computer-assisted diagnosis from medical scans. more...

Supervisor(s): Zhou, Luping (Dr)