Research
Projects
5 projects — 1 active · 1 upcoming · 3 completed.
Current EYESPEAK — Mental Fatigue Detection in Team Sports
Developing an interpretable, low-burden machine-learning approach to estimate mental fatigue and its effect on decision quality in team field sports, using non-intrusive signals captured during routine training.
Upcoming AI-Enabled Patient Engagement Tools for Early Health Risk Management
A proposed feasibility study on accessible, AI-enabled digital tools that help people engage earlier with their health — co-designed with communities and healthcare stakeholders, in partnership with Sun Life.
Completed Accurate Battery State-of-Charge Estimation with Lightweight Machine Learning
Designing and validating lightweight machine-learning models that estimate battery State-of-Charge (SoC) in real time for low-power electronic devices operating under varying temperature and load conditions.
Completed Battery State-of-Charge Data Collection & Characterisation
A controlled experimental programme to characterise battery behaviour across chemistries, temperatures and load profiles — producing an open dataset for State-of-Charge estimation research in wireless sensor networks.
Completed Adaptive Clear Channel Assessment (A-CCA) — Energy-Efficient MAC for WSNs
A Media Access Control (MAC) layer technique for IEEE 802.15.4 wireless sensor networks that adapts clear-channel assessment to cut idle listening and false wake-ups — lowering power consumption and extending node lifetime.