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Hybrid plasmonic waveguide for integrated photonic signal

The growing demand for faster communications technologies and the inherent limitations of electronic integrated circuits stimulated the research of nanophotonic components. Furtherm more...

Supervisor(s): Palomba, Stefano (Associate Professor)

Adaptation to variable climate and mitigation of greenhouse emissions in the beef industry

The Livestock in Future Landscapes Program seeks to understand how livestock interact with the environment and how these interactions determine the efficiency of production (growth, more...

Supervisor(s): Gonzalez, Luciano (Associate 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)

Pathways to therapies in blinding genetic retinal eye diseases

In this project, novel disease genes and variants are identified that cause blinding retinal eye diseases. Cellular, gene editing, proteomic and animal model approaches are taken to more...

Supervisor(s): Jamieson, Robyn (Associate 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)

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)