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Detecting Evolution of Learning Artefacts

When teams collaborate, there are certain generic artefacts (documents, figures, videos, code) that evolve over time. Can this evolution be captured and characterised? more...

Supervisor(s): Pardo, Abelardo (Dr)

Machine learning for visual recognition

This research project aims to develop new machine learning methods for various visual recognition tasks such as object/scene recognition, face and human gait recognition, activity r more...

Supervisor(s): Xu, Dong (Professor)

Biometrics (face recognition, human gait recognition or person re-identification)

This research project aims to develop new feature extraction and classification methods for face recognition, human gait recognition or person re-identification. more...

Supervisor(s): Xu, Dong (Professor)

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)

FPGA control of photonic systems

This project involves the design of novel control systems to improve the efficiency of photonic systems. more...

Supervisor(s): Leong, Philip (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)