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Development of novel hand-held devices based on Zigbee or WiFi signals to see through walls

In this project, we aim to develop a low cost X-ray vision wireless hand-held device. The developed hand-held device can be used to see through walls to track moving human bodies. T more...

Supervisor(s): Lin, Zihuai (Dr)

Machine Learning Algorithms to Detect Learning Tactics

Machine learning algorithms can be used to analyse the interactions occurring in learning environments to then adapt and personalise the experience to the learners. more...

Supervisor(s): Pardo, Abelardo (Dr)

Analysis of Behavioural Patterns after Data Visualization

Learners are given feedback about their interactions in a learning environment. What is the effect in their self-regulation? more...

Supervisor(s): Pardo, Abelardo (Dr)

Goal Setting Applications for Self-Regulation in a Learning Experience

Setting goals, monitoring progress and reflecting on the most efficient tools to achieve these goals are part of how a self-regulated learner behaves in a learning environment. Can more...

Supervisor(s): Pardo, Abelardo (Dr)

Automatic Grading for Team Summaries

Teams collaborate in environments mediated by technology. Can the artefacts produced by these teams be “ assessed” for quality? more...

Supervisor(s): Pardo, Abelardo (Dr)

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)

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)

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)

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)