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Writing Studies

The Writing Hub is the first of its kind in Australia. Modeled on writing centres in the United States and Europe, we engage with Classical and New Rhetoric as a way of developing w more...

Supervisor(s): Di Lauro, Frances (Dr), Katz, Louise (Dr), Miller, Benjamin (Dr), Dyson, Bronwen (Dr), Thomas, Susan (Associate Professor)

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)

Groundwater Protection with Geosynthetics Clay Liners: Behaviour under Unsaturated Conditions

Geosynthetic Clay Liners (GCLs) are engineered systems made of bentonite clay sandwiched between two geotextiles and used in conjunction with high-density polyethylene geomembranes more...

Supervisor(s): El-Zein, Abbas (Professor)

New self-assembled monolayers for surface modification of surfaces in electronic components

Investigation of the new families of self-assembled monolayers to be used with non-protic solvents. more...

Supervisor(s): Neto, Chiara (Professor)

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)