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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)

Arts Music Unit

The Arts Music Unit at the Sydney Conservatorium of Music provides study opportunities in music as part of an arts degree or a combined degree (such as arts/commerce, arts/law and a more...

Supervisor(s): Fairchild, Charles (Dr), Boyd, Anne (Professor), Wierzbicki, James (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)

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)