LAUTECH
FUOYE Academic Staff Profile
Dr. Adebimpe Omolayo Esan
Reader / Associate Professor
Department of Computer Engineering, Faculty of Engineering
Area of Specialization: Computer Science and Engineering
Biography
Dr. Adebimpe Omolayo Esan is an Associate Professor of Computer Engineering at the Federal University Oye-Ekiti (FUOYE), Nigeria. She obtained her Bachelor of Technology (B.Tech.) in Computer Engineering in 2008, Master of Technology (M.Tech.) in 2014, and Doctor of Philosophy (Ph.D.) in Computer Engineering in 2021, all from the .
Her research focuses on cutting-edge areas of computing, including Artificial Intelligence (AI), Human–Computer Interaction (HCI), Machine Learning, Computer Vision, and Natural Language Processing (NLP). Her scholarly work is driven by the application of intelligent computing techniques to solve real-world problems and advance research in engineering and technology.
Dr. Esan has held several academic leadership and administrative positions at the . She served as Deputy Director of Entrepreneurship during the 2022/2023 academic session before being appointed Director of the Directorate of Educational Technology, Innovation and Entrepreneurship, a position she held during the 2023/2024 and 2024/2025 academic sessions. In recognition of her leadership and commitment to academic excellence, she was appointed Head of the Department of Systems Engineering for the 2025/2026 academic session. She currently serves as an academic staff member in the Department of Computer Engineering at FUOYE.
Throughout her career, Dr. Esan has demonstrated a strong commitment to teaching, research, innovation, entrepreneurship, and academic leadership. She has contributed significantly to the development of technology-driven education, entrepreneurship initiatives, and capacity-building programmes while mentoring students and young researchers. Her passion for interdisciplinary research and emerging technologies continues to inspire innovative solutions that address societal and industrial challenges.
Research Interests
Artificial intelligence, Machine Learning, Human Computer Interaction, Natural Language Processing
Qualifications
| Degree | Institution | Year |
|---|---|---|
| B.Tech | LAUTECH, Ogbomoso | 2008 |
| M.Tech | LAUTECH Ogbomoso | 2014 |
| PhD | LAUTECH Ogbomoso | 2021 |
Professional Qualification
LAUTECH
LAUTECH
Scholarship
Bill and Melida Gates Foundation
Higher Education Innovation (HEI) at Co-creation hub (Cchub), Abuja, Nigeria
International Center for Artificial Intelligence Research and Ethics
Innov8 Hub, Abuja, Nigeria
British council in collaboration with Cchub and De-Montfort University, Leicester,
Innov8 hub, Abuja
Membership of Professional Bodies
member
Paper Presentation - Local
1st international Conference / Exhibition of the Department of Mechatronics Engineering , University of Nigeria, Nsukka
3rd International Engineering Conference, 5th-7th Nov, 2024. Faculty of Engineering Lecture Theatre
1st International Engineering Conference, Theme: Engineering and Technology Approach for Sustainable National Development
7th international conference on mobile e-services, Adeleke University, Ede.
s of: 6th international conference on mobile e-services, LAUTECH, Ogbomoso,
proceedings of: 6th IEEE International Conference on Adaptive Science and Technology (ICAST), Covenant University, Otta.
Postgraduate Ph.D Supervision
Decision Support System for Flood Prediction using an Ensemble of Trees
Development of an Electronic Financial Fraud Detection System Using Graph Neural Network
Advanced Computational Intelligence for Prediction of Parkinson's and Alzheimer's Diseases: Integrating Metaheuristic Optimization and Explainable Artificial Intelligence
Postgraduate M.Sc Supervision
Development of a Long Short Term Memory-Based Model for Fake News and Cyberbully Detection
An Ensemble-based model for Lassa fever detection in Nigeria
Extreme Gradient Boosting Model for Malaria Incidence prediction in Nigeria
Customer Sentiment Analysis using Machine Learning Algorithms
Course Teaching
computer and Computing for Engineers
Computer Logic I
Computer Logic II
Digital Signal Processing
Digital Speech Processing
Numerical Analysis
Cyberpreneurship and Cyberlaw
Custom Fields
Head of Department, Systems Engineering
11th August 2025 to July 2026
Ag. Director, Educational Technology, Innovation and Entrepreneurship (DETIE)
August 2023 to July 2025.
Associate Editor, Fuoye Journal of Engineering and Technology (FUOYEJET)
October 2025 to date
Ag. Deputy Director, CEDISS
August 2022 to July 2023
Matron and Female Staff Adviser, Impact Leaders Club, FUOYE
March 2022 to date
Student Association (NACOMES) Adviser
March 2022 to date
Selected Publications
Enhancing Alzheimer’s Disease Prediction using Random Forest: A Novel Framework Combining Backward Feature Elimination and Ant Colony Optimization.
Authors: A. Soladoye, Nicholas Aderinto, A. Omodunbi, Adebimpe O. Esan and Ibrahim A. Adeyanju (2025).
Current Research in Translational Medicine • 2025
AI-driven diagnosis of Lassa fever: Evidence from Nigerian clinical records.
Authors: Adebimpe Esan, George Adejo, Nnamdi Okomba, Afeez A. Soladoye, Nicholas Aderinto and David B. Olawade
Computational Biology and Chemistry • 2025
Explainable AI for Parkinson’s disease prediction: A machine learning approach with interpretable models
Authors: Adebimpe O. Esan, David B. Olawade, Afeez A. Soladoye, Bolaji A. Omodunbi, Ibrahim A. Adeyanju and Nicholas Aderinto
Current Research in Translational Medicine, • 2025
Long-Short-Term Memory Model for Fake News Detection in Nigeria
Authors: Adebimpe Esan, Olayinka Abodunrin, Adedayo Sobowale, Ibrahim Adeyanju, Nnamdi Okomba, Bolaji Omodunbi, Tomilayo Adebiyi, Janet Jooda, Taofeek Abdul- Hameed and Opeyemi Asaolu
Ianna Journal of Interdisciplinary Studies • 2023
Development of a Recurrent Neural Network Model for English to Yorùbá Machine Translation
Authors: Adebimpe Esan, John Oladosu, Christopher Oyeleye, Ibrahim Adeyanju, Olatayo Olaniyan, Nnamdi Okomba, Bolaji Omodunbi, Opeyemi A (
International Journal of Advanced Computer Science and Applications (IJACSA) • 2020
Enhancing parkinsons disease prediction using meta-heuristic optimized machine learning models.
Authors: Afeez A. David B. Olawade, Adebimpe O. Esan Nicholas Aderinto, Bolaji A. Omodunbi Ibrahim A. Adeyanju and Stergios Boussios
Personalized medicine
