Research themes
Trustworthy AI, cyber security, digital health, rehabilitation technologies and intelligent infrastructure — connected through real-world translation.
My scholarly activity is interdisciplinary and practice-oriented, spanning artificial intelligence, cyber security and trustworthy digital systems, digital health and rehabilitation technologies, control and automation, and intelligent infrastructure. I aim to ensure that research and external engagement inform teaching, curriculum design and real-world translation — with responsible AI, interoperability and human oversight grounded in deployable systems.
Machine learning, explainable AI, predictive analytics and intelligent decision-support systems designed for real-world validation and responsible deployment.
Cryptographic engineering, secure communications, secure system design and trustworthy computing — alongside security-relevant machine learning, privacy-aware design and cyber considerations for healthcare and cloud environments.
Clinically informed platforms for rehabilitation monitoring, technology integration, referral intelligence and health AI — with emphasis on interoperability, human oversight and translational impact.
AI-enabled optimisation, analytics and coordination for energy and infrastructure contexts, building on control, distributed systems and data-driven modelling.
Longer-standing strengths in optimisation, intelligent control and applied systems research continue to underpin the themes above.
Model predictive control, metaheuristics, and hybrid methods for nonlinear, constrained, and multi-objective systems — robotics, scheduling, and resource allocation under uncertainty.
Deep learning for forecasting and anomaly detection; language-model approaches for structured triage and decision support, with emphasis on validation and governance.
Microgrids and renewable integration; optimisation of energy prices and tariffs; smart energy modelling linking simulation, control, and learning.
Security-relevant ML, ethical AI assessment as a global IEEE ethics assessor (IEEE Global AI Ethics Assessor programme), and governance-aware design for high-stakes environments.