Dr Kayode Owa received his PhD in Artificial Intelligence, Machine Learning and Control Engineering from the University of Plymouth (2014), MSc in Computer Science from Obafemi Awolowo University (2008), and BSc in Computer Science and Engineering (1998). He is a Senior Lecturer in Computer Science at Nottingham Trent University, an IEEE Global AI Ethics Assessor, and a Fellow of the Higher Education Academy.
A Senior Lecturer in Computer Science, Dr Owa combines expertise in optimisation, model predictive control (MPC), and machine learning with data engineering and responsible AI governance. He has led research in dynamic pricing, real-time forecasting, carbon-intensity-aware control, and resilience for mission-critical infrastructure, and serves as a lead assessor on IEEE AI ethics risk audits across sectors.
At the heart of his work is AI-driven optimisation for secure, reliable systems. He develops methods that:
- Optimise grid-scale battery dispatch and dynamic pricing for equitable, low-carbon energy.
- Forecast, detect anomalies, and schedule resources in real time for critical operations.
- Embed fairness, transparency and adaptive trust in digital identity and access control using control-theoretic governance.
- Deploy lightweight, interpretable edge-AI via compressive sensing for secure infrastructure.
Dr Owa’s applied projects span energy, manufacturing, and digital identity (EU H2020, EPSRC, and industry collaborations). His goal is to enable trustworthy, standards-aligned AI that strengthens national infrastructure, advances Net Zero objectives, and delivers measurable, auditable outcomes.
