TETUND
FUOYE Academic Staff Profile
Dr. Olaiya Folorunsho
Reader / Associate Professor
Department of Computer Science, Faculty of Computing
Area of Specialization: Artificial Intelligence, Explainable Artificial Intelligence (XAI), and Data Analytics
Biography
Dr. Olaiya Folorunsho is a Reader in the Department of Computer Science and the Head of the Department of Computer Science, Faculty of Computing, Federal University Oye-Ekiti (FUOYE), Nigeria. He holds a Ph.D. in Computer Science and is an accomplished academic, researcher, and administrator with extensive experience in teaching, research, postgraduate supervision, and academic leadership.
His research interests include Artificial Intelligence, Explainable Artificial Intelligence (XAI), Machine Learning, Deep Learning, Data Science, Computer Vision, Health Informatics, Data Mining, Intelligent Decision Support Systems, and Explainable Computing. His research focuses on developing innovative, interpretable, and data-driven computational models for solving complex real-world problems in healthcare, education, cybersecurity, and social media analytics.
Dr. Folorunsho previously served as a Postdoctoral Research Fellow at the Unit for Data Science and Computing, North-West University, South Africa, where he collaborated with multidisciplinary research teams on cutting-edge research in data science and artificial intelligence. He has published extensively in reputable national and international journals and conference proceedings and has supervised numerous undergraduate and postgraduate research projects.
In recognition of his research excellence and scholarly contributions, Dr. Folorunsho has been a recipient of the Tertiary Education Trust Fund (TETFund) Institution-Based Research (IBR) Grant and the TETFund Conference Attendance Intervention, which have supported his research and participation in international scientific conferences. He actively engages in multidisciplinary and collaborative research, grant development, journal peer review, and academic mentoring.
As an academic leader, Dr. Folorunsho has contributed significantly to curriculum development, quality assurance, departmental administration, and the advancement of Computer Science education. He remains committed to fostering innovation, impactful research, and international collaboration that address contemporary societal challenges through emerging computing technologies.
Research Interests
Explainable Artificial Intelligence (XAI), Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Computer Vision, Health Informatics, Predictive Modelling, and Intelligent Decision Support Systems.
Awards
TETUND
North-West University
Southern Africa Telecommunication Networks and Applications Conference (SATNAC)
Grants
TETFund
Scholarship
TETFUND
Prizes
Southern Africa Telecommunication Networks and Applications Conference (SATNAC)
Membership of Professional Bodies
Full Member
Full Member
Full Member
Full Member
Paper Presentation - Local
Presented at The Nigeria Computer Society (NCS). Communications and e-Systems for Economic Stability. Held at The Event Place, Muritala Mohammed Way, Federal Low-Cost Bypass, Bauchi, Bauchi State, Nigeria
Paper Presentation - International
The Southern Africa Mathematical Sciences Association (SAMSA) Conference. Titled: Mathematics and Statistics for the Modern World of Data Science. Hosted by University of Pretoria, Pretoria, South Africa, held at the beautiful Future Africa campus at Hillcrest (Pretoria) campus of the University of Pretoria, South Africa
Presented at 3rd Postdoctoral Research Conference of Africa. Conference Theme: Postdocs as Drivers of knowledge and Innovation in Africa: Confronting Global Challenges Together. Held at Biomedical Research Institute (BMRI), Tygerberg Campus, University of Stellenbosch, Cape Town, South Africa
Presented at The Southern Africa Telecommunication Networks and Application Conference (SATNAC). Conference Theme: The Future of Cloud and its Impact on Industries and Total Human Experience. Held at Fancourt, George, Western Cape, South Africa
Postgraduate Ph.D Supervision
Developing an Explainable Machine Learning Framework for Scalable Predictive Mapping of Malaria in Pregnancy
A Data- Driven Framework for Evaluating the Adoption of Electronic Commerce in North Central Nigeria.
Speaker-Independent Speech Emotion Recognition Using Stacked Ensemble Model
Development of an Email Phishing Attack Detection System Using Multistage Ensemble Learning Techniques
Postgraduate M.Sc Supervision
Brain Stroke Prediction Using Ensemble Machine Techniques
Predicting Consumer Behaviour Using Ensemble Deep Learning Techniques
Cross Data Benchmarking of Pre-training CNN Models for malaria Detection in Microscopic Blood Smear Images
A Comparative Performance of Deep Learning Algorithms in Melanoma Detection Using Dermatoscopic Images
Comparative Analysis of Feature Selection Methods for the Prediction of Diabetic Retinopathy
Detection of Diabetic Retinopathy Using an Ensemble Deep Learning Techniques with Explainable Artificial Intelligence
Performance Analysis of Autoencoder and Singular Value Decomposition Techniques on Content-Based and Collaborative Filtering Recommender Systems
Semantic Segmentation Selected Chest Diseases Modified U-Net Architecture with Channel Attention
Classification of Pneumonia from Chest Radiographs Using Ensemble Machine Learning Approach
