Skip to content
M

Moses Abuobelye Akeke

0009-0001-2506-9122

Publications (4)

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

Predictive Analytics for Early Detection of Youth Mental Health Risks in Underserved Schools

Christopher Ugbong Akeke, Tunbosun Oyewale Oladoyinbo, Moses Abuobelye Akeke, Asmau Abubakar Abdulmalik & Michael Bengie-Ungwubel Ala · International Neuropsychiatric Disease Journal · 2026

Adolescent mental health issues are increasing, with many students reporting sadness and anxiety. Schools can help identify early warning signs, but limited resources often delay timely support, especially in underserved areas. This study explored predictive analytics as a school...

Open access Research Article 10.9734/indj/2026/v23i3559

Adversarial Robustness of Machine Learning-based Fraud Detection Systems: An Empirical Evaluation of Attack Impact and Mitigation in Fintech Environments

Ololade Zainab Adesokan, Abiola Omolola Bamsa, Onyinye Obioha-Val, Cornelia Ifeoma Ejoh & Moses Abuobelye Akeke · Journal of Engineering Research and Reports · 2026

This study evaluated the adversarial robustness of machine learning-based fraud detection systems by comparing classifier vulnerability profiles and assessing adversarial training as a mitigation strategy. Using the IEEE-CIS Fraud Detection dataset, comprising 590,540 transaction...

Open access Research Article 10.9734/jerr/2026/v28i71957

Security Risks of Autonomous AI Agents with Unrestricted Communication and Publishing Capabilities

Oluwadayo Mafolasere Olaniyi, Suleiman S. Abba, Christopher Ugbong Akeke, Faith Hauwa Oluwapamilerin Kolo & Moses Abuobelye Akeke · Journal of Engineering Research and Reports · 2026

Autonomous AI agents powered by large language models increasingly operate with unrestricted communication and publishing capabilities, creating critical security vulnerabilities through memory poisoning attacks that corrupt long-term agent memory and propagate falsified outputs...

Open access Research Article 10.9734/jerr/2026/v28i51894