Adeyemi Adebukunola Ishekwene

Artificial Intelligence-Driven Asset Management for Cyber-resilient and High-Performance Transportation Infrastructure: A Critical Narrative Review

Adeyemi Adebukunola Ishekwene, Odunayo Sekinat Sobowale, Moses Abuobelye Akeke, Akinde Michael Ogunmolu & Busola Motunrayo Olawale · Journal of Engineering Research and Reports · 2026

Transportation agencies are being asked to sustain ageing road, bridge and rail networks under tightening budgets, rising traffic loads and a changing climate, and artificial intelligence is increasingly presented as the mechanism through which asset management will become predic...

Open access Research Article 10.9734/jerr/2026/v28i81992

Secure Artificial Intelligence for Asset Performance in Critical Infrastructure: A Critical Narrative Review of Safety, Operational Excellence and Continuous Quality Improvement

Adeyemi Adebukunola Ishekwene, Christopher Ugbong Akeke, Akinde Michael Ogunmolu, Busola Motunrayo Olawale & Cornelia Ifeoma Ejoh · Journal of Engineering Research and Reports · 2026

Critical infrastructure operators increasingly deploy artificial intelligence (AI) to detect degradation, predict failures, optimise maintenance, identify cyber anomalies and support operational decisions. These capabilities create a plausible route to higher availability, reliab...

Open access Research Article 10.9734/jerr/2026/v28i81986

An Intelligent Enterprise Asset Management Framework for Railway Maintenance Prioritization: A Machine-learning Proof of Concept Using Benchmark Analogue Data

Adeyemi Adebukunola Ishekwene · Journal of Engineering Research and Reports · 2026

Railway networks remain capital-intensive and safety-critical, yet maintenance still relies heavily on reactive and calendar-driven regimes that underexploit the condition data modern systems generate. Published machine-learning applications remain fragmented across asset classes...

Open access Research Article 10.9734/jerr/2026/v28i81979