Ezekiel Oluwagbemileke Ilori

Leveraging Blockchain, Artificial Intelligence, and Data Analytics for Sustainable and Transparent Resource Management

Ezekiel Oluwagbemileke Ilori, Emmanuel Chiagozie Ahaiwe, Onyia Ejike Michael, Chioma Charity Ezeonu, Fatimah Abduljelil, Confidence Adimchi Chinonyerem & Obanor Rukayat Adebisi · Asian Journal of Advanced Research and Reports · 2025

The rising complexity in current resource management projects has generated demand for transparent, efficient, and sustainable operational systems. Current research work focuses on identifying the importance of Blockchain, Artificial Intelligence, and Data Analytics in improving...

Open access Research Article 10.9734/ajarr/2025/v19i121224

Ai-Driven Data Governance for Transparent and Fair Student Loan Allocation in Public Institutions

Abayomi Ibrahim Adeaga, Ezekiel Oluwagbemileke Ilori, Olusegun Nicholas Somide, Badmus Monsuru Owolabi, Vida Adeti, Olamiji Onafowokan & Confidence Adimchi Chinonyerem · Asian Journal of Advanced Research and Reports · 2026

Student lending in public institutions is a fundamental issue that has continued to pose a challenge to the policy frameworks of developing countries in general and Nigeria in particular. This is in relation to the matter of transparency, equity, and integrity. Currently, the new...

Open access Research Article 10.9734/ajarr/2026/v20i21283

Evaluating How Explainable Ai-Driven Financial and Clinical Risk Models Improve Global Maternal, Neonatal and Mental Health Outcomes in Resource-limited Settings

Abayomi Ibrahim Adeaga, Felix Denkyi, Ugwumadu-Ihechi Jovita, Blessing Chinedu Ndubuisi, Ezekiel Oluwagbemileke Ilori, Adegoke Adebayo David, Fatimah Abduljelil, Badmus Monsuru Owolabi, Godwin Pascal Madukwe & Confidence Adimchi, Chinonyerem · Asian Journal of Advanced Research and Reports · 2026

Outcomes associated with maternal, neonatal, and perinatal mental health issues have, unfortunately, remained unacceptably low in resource-limited countries, partly because of inefficient risk factor frameworks and a lack of trust in the use of artificial intelligence-based decis...

Open access Research Article 10.9734/ajarr/2026/v20i21280

AI-driven Green Logistics: Optimizing Last-mile Delivery Networks with Electric Vehicles for Carbon Neutrality in U.S. Metropolitan Areas

Aderibigbe Michael Oluwaseyi, Monnu Paul Oluwadamilare, Paschal Alumona, Somto Benjamin Anieto, Ezekiel Oluwagbemileke Ilori, Emmanuel Chiagozie Ahaiwe, Mboe Fabiola Lizzy, Chioma Charity Ezeonu & Confidence Adimchi Chinonyerem · Asian Journal of Advanced Research and Reports · 2025

The last-mile delivery process has continued to be the costliest, time-consuming, and environmentally challenging part of logistics systems, and this challenge has been further amplified in the context of quickly increasing large cities worldwide. The conventional logistics deliv...

Open access Research Article 10.9734/ajarr/2025/v19i121227