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Design of Network Coding Schemes for Next Generation of Wireless Cellular Systems

With explosive growth of wireless networks and the Internet, network resource utilization becomes one of thecritical design issues. Network coding has emerged as a promising tool fo more...

Supervisor(s): Lin, Zihuai (Dr), Vucetic, Branka (Professor)

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)

Magnetic resonance electrical impedance tomography

MREIT is a new medical imaging method that allows the electrical conductivity of tissue to be directly measured in the MR scanner. It has high potential for implant design, monitors more...

Supervisor(s): McEwan, Alistair (Professor)

Development of wireless motion sensors for use in complex movements

This project aims to develop the technology used in current wireless inertial measurement units (IMU’s) for use in complex movements where the size of current units may impede more...

Supervisor(s): Fong Yan, Alycia (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)

Determining Value and Impact of the CPC through stakeholder analysis

The Charles Perkin Centre (CPC) officially launched in 2014 is the central hub and flagship of Sydney University to provide collaboration for interdisciplinary research amongst var more...

Supervisor(s): Chung, Kenneth (Dr)

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)

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)