Nigerian-Born Portsmouth Computer Scientist on Bias-Aware AI Cloud Research Gains Traction

Oluchi Chibuzor

Dr. Olumuyiwa Matthew, Senior Lecturer in Computer Science at the University of Portsmouth, is earning international recognition for research that turns cloud-era theory into deployable systems. Trained at the University of Wolverhampton, he created a structured decision framework—validated and implemented as an expert system—to guide organizations adopting multi-tenant databases.

He later expanded into ontology-driven knowledge discovery and fairness-aware explainable AI for high-stakes settings such as university admissions.

Matthew integrates these ideas with industry through a 30-month Knowledge Transfer Partnership funded by Innovate UK, delivering an AI platform that improved MRO spare-parts management at Entec International.

A Fellow of the Higher Education Academy (2018), he has reviewed for leading conferences and journals, chaired AI sessions, led the MSc Information Systems program, and supervised multiple PhD projects to completion.

On responsible, bias-aware AI, Matthew is blunt: “Debates frame it as innovation versus control—that’s a false choice. The job is disciplined engineering: define risks, measure them, and build data pipelines, governance, and audits that constrain harm while preserving benefits.”

He adds that production credibility—not pilots—should be the bar: “If admissions AI can’t meet latency, security, fairness metrics, and user-experience constraints, it doesn’t belong in production.”

From multi-tenant database adoption to trustworthy AI, Matthew’s work shows a consistent pattern—original methods, independently validated, engineered for scale—shaping how universities and industry convert emerging technology into reliable, accountable capability.