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Video analytics (activity and video event recognition)

This research project aims to develop new intelligent video analytics systems for understanding videos. more...

Supervisor(s): Xu, Dong (Professor)

Cognitive Radio for for Green Internet of Things

The internet-of-things (IoT) is becoming an essential technology to support the revolution of various vertical sectors, such as agriculture, industry, energy, healthcare, and transp more...

Supervisor(s): Liang, Ying-Chang (Professor)

Backscatter Communications for Green Internet of Things

The internet-of-things (IoT) is becoming an essential technology to support the revolution of various vertical sectors, such as agriculture, industry, energy, healthcare, and transp more...

Supervisor(s): Liang, Ying-Chang (Professor)

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)

strategic power system operation and planning to secure energy sustainability

The HDR (higher degree research) student applicants should have background in one of the following areas: 1) power system optimisation and control; 2) electricity market modelling a more...

Supervisor(s): Qiu, Jeremy (Dr)

Medical Image Analysis with Machine Learning Techniques

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

Supervisor(s): Zhou, Luping (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)

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)

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)