Dr. BOLAJI ABIGAIL OMODUNBI

Reader / Associate Professor | Head of Department

Faculty of Computer and Information Engineering · Department of Information and Communication Engineering

Specialization Artificial Intelligence and Intelligent Computing Systems.

Office: Department of Information and Communication Engineering, Faculty of Computer and Information Engineering, Federal University Oye Ekiti

Phone: 08033836990

Email: bolaji.omodunbi@fuoye.edu.ng

Biography

Dr. Bolaji Abigail Omodunbi is an accomplished academic, researcher, and registered Computer Engineer with extensive experience in teaching, research, academic administration, and professional practice. She currently serves as the Head of the Department of Information and Communication Engineering at the Federal University Oye-Ekiti (FUOYE), Nigeria.
She holds a Ph.D. in Computer Engineering from Ladoke Akintola University of Technology, Ogbomoso; an M.Sc. in Communication Engineering from the University of Birmingham, United Kingdom; and a B.Tech. in Computer Engineering. She is a COREN-registered engineer and holds professional certifications including Cisco Certified Network Professional (CCNP) and Cisco Certified Network Associate (CCNA).
Her research interests span artificial intelligence, machine learning, deep learning, cybersecurity, wireless sensor networks, computer networks, Internet of Things, intelligent systems, and digital health technologies. She has authored and co-authored numerous scholarly publications in reputable national and international journals, including Scopus-indexed outlets, with research applications in healthcare, security, intelligent surveillance, assistive technologies, communication systems, and energy optimization.
Dr. Omodunbi has supervised and co-supervised several Master’s and doctoral research projects across diverse areas of computer and communication engineering. Her commitment to teaching, research, and innovation earned her the Vice-Chancellor’s Award for Best Innovative Lecturer in the Faculty of Engineering at Federal University Oye-Ekiti in 2023.
Beyond teaching and research, she has held several academic and administrative responsibilities, including examination coordination, postgraduate supervision, journal editorial leadership, curriculum development, and external examination. She currently serves as an External Examiner to Covenant University.
Dr. Omodunbi is passionate about advancing engineering education, promoting innovative research, mentoring emerging scholars, and applying artificial intelligence and emerging technologies to address societal and developmental challenges in Nigeria and beyond.

Research Interests

Computer Networks, Cybersecurity, Machine Learning, Deep Learning, Internet of Things (IoT), and Wireless Communication Systems.

Qualifications

• PhD., Ladoke Akintola University of Technology, Ogbomoso (2020)
• MSc., University of Birmingham, United Kingdom (2010)
• B.Tech, Ladoke Akintola University of Technology, Ogbomoso (2007)

Selected Publications

1. Comparative analysis of machine learning models for coronary artery disease prediction with optimized feature selection
   Authors: 2. D.B Olawade, A.A Soladoye, B.A. Omodunbi, N Aderinto(2025)
   International Journal of Cardiology (2025)
2. Stacked Ensemble Learning for Classification of Parkinson’s Disease Using Telemonitoring Vocal Features
   Authors: 1. B.A. Omodunbi, D.B Olawade, O.F Awe, A.A Soladoye
   in Diagnostics (2025)

Professional Qualification

• • COREN Registered Engineer (R37248) - COREN (2017)
• • Member, Nigeria Society of Nigeria (NSE) - Nigeria Society of Engineers (2015)

Awards

• • Vice Chancellor Award of Best Innovative Lecturer in Faculty of Engineering 2023 - Federal University Oye- Ekiti, Ekiti State Nigeria. (2023)

Grants

• Tetfund grant: i. Development of Stacked Ensemble Learning Model for Prediction of Parkinson’s Disease - TETFUND (2024) - Amount: NAIRA 3,999,000.00

Membership of Professional Bodies

• Council for Regulations of Engineering in Nigeria (COREN) - Registered member (2017)
• Nigeria Society of Engineers - Member (2015)

Paper Presentation - Local

• “Prediction of oral cancer Using Deep Transfer Learning” - Presented at 2nd international Conference on sustainable development goals. Landmark University, Omu-Aran. Nigeria (2024)
• Prediction of Stroke using Stacked Gated Recurrent Unit (Gru). - Presented at the 10th international conference on Mobile E-Services and Digital Engineering 10th -12th October at LAUTECH, Nigeria (2023)
• Smart Engineering for A Smart Nigeria: How Intelligent Systems are Redefining every branch of Engineering Profession - A Public Lecture Delivered at the 3rd Edition of the Biennial Founding Fathers’ Day/Public Lecture & Induction of Corporate Members Organized by the Nigerian Society of Engineers (NSE), Osogbo Branch (2026)

Paper Presentation - International

• Online Nigerian Languages Word-level Character Recognition Using Deep Transfer Learning - In 32nd International Conference on Case-Based Reasoning (ICCBR 2024), Mexico (2024)

Postgraduate Ph.D Supervision

• Titilayo Mary Sayikanmi - Development of an Electronic Financial Fraud Detection system Using Graph Neural Network (2026)
• Ojewande Adekunle Oyewumi - Development of a Hybrid Algorithm for Energy Optimization in Wireless Sensor Networksfor Surveillance system. (2025)
• Ayobami Olusesi - Development of an hybrid Algorithm for Energy Optimization in Wireless Sensor Networks for Surveillance Systems (2023)

Postgraduate M.Sc Supervision

• Aliu Olaniyi Habib - Prevention of Road accident using deep Learning Techniques for detection of Driver’s Drowsiness (2024)
• Babatunde Adewumi Surajudeen - Performance sensitivity of correlation-based feature selection on intelligent algorithms for hydrocarbon reservoir characterization (2023)
• Awe Florence Omosighor - Stacked Ensemble Learning for the Prediction of Parkinson's Disease (2025)
• Omowon Adedayo - Deep Learning-Based Forecasting Of Daily Energy Consumption In Smart Apartments Using Lstm Models (2025)
• Hammed Olasunkanmi Ayomide - Development of an Ensemble Model for Email Filtering and Classification (2025)
• Daniel Omowole Babayemi - A Deep Transfer Learning Approach For Bi-Modal Authentication Using Bi-Instance Matching (2025)

Undergraduate Project Supervision

• AREMU NEW-ANOITING ADETOLA - DEVELOPMENT OF AN INTELLIGENT RIPE CROP AND PEST DETECTION SYSTEM USING YOLO MODEL (2025)
• AHMED UTHMAN OPEOLUWA - ARTIFICIAL INTELLIGENT BASED TRAFFIC MANAGEMENT SYSTEM USING COMPUTER VISION (2025)
• AKIN-ADEMOLA ADEBIMPE DEBORAH - ENERGY-EFFICIENT LIGHT MANAGEMENT SYSTEM (2025)
• Emiola Omotolani Blessing - Development of an Android-based Online Verification System with Fingerprint and Liveness Detection (2024)
• Adeyo Silas Olorunfemi - An Intelligent Video Surveillance System using Gesture Recognition System with the “You Only Look Once” (YOLO) Algorithm (2024)
• Oyegoke Mubarak Adebayo - Design And Implementation of a Secured Voting System using Deep Learning And Facial Recognition (Using FUOYE Voting System as a Case Study) (2024)
• Odeyemi Praise Boluwatife - The Development of an Android based Sign Language Translator using Convolutional Neural Network( CNN) (2024)
• Ayoola Joshua Itunoluwa - The Development of an Android based Sign Language Translator using Convolutional Neural Network( CNN) (2024)
• Ojelabi Oluwapelumi Matthew - Development of a Cervical Cancer Prediction System using a Graph Neural Network (2024)
• Shittu Segun and Ogundeji Oluwafemi - Multilingual Accent Variation model Using Gated Recurrent Units (GRUs) (2023)
• Folarin Eniola Adetomiwa and Adedapo Adebola Dorcas - Tweet Classification using radial basis function network (2023)
• Dada Olalekan and Folorunsho Abiodun Razak - Performance evaluation of selected Machine Learning algorithms for conformity detection with a company’s standard product arrangement (2023)
• Olatunji Olayide Nelson and Aremu Victor David - Development of an AI-based mobile app for evaluation and monitoring of distributors conformity with a company’s standard product arrangement (2023)

Course Teaching

• CPE101 - Computers and Computing for Engineers (2023/2024)
• CPE211 - Computers and Computing for Engineers (2025/2026)
• CPE313 - Discrete Structures (2025/2026)
• CPE312 - Measurement and Instrumentation (2024/2025)
• CPE316 - Communication Principle (2025/2026)
• CPE501 - Maintainability and reliability (2025/2026)
• CPE504 - Cryptography (2025/2026)
• ENG211 - Soft Computing (2025/2026)

Professional Skill

Custom Fields

Service: Managing Editor (FUOYE Journal of Engineering and Technology): Description: Coordinate all reviewing process from submission to publication

Photo Gallery / Picture Evidence