Mrs. OLUBUNMI OMOTOLA FABOYA photograph
FUOYE Academic Staff Profile

Mrs. OLUBUNMI OMOTOLA FABOYA

Assistant Lecturer

Department of Computer Science, Faculty of Computing

Area of Specialization: DATA SCIENCE

Biography

I am a lecturer in the Faculty of Computing, with research interests in Data Science, Artificial Intelligence, and Machine Learning. Currently, undergoing PhD program at FUTA. I am actively involved in teaching and research.

Research Interests

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Professional Qualification

Bachelor of Science (B.Sc.), Computer Science Β· 2013

Ekiti State University, Ado-Ekiti, Nigeria

Master of Technology (M.Tech.), (Computer Science) Β· 2019

Federal University of Technology, Akure, Ondo State, Nigeria

Course Teaching

CSC 101 Β· 2025/2026

INTRODUCTION TO COMPUTING

CYB 203 Β· 2025/2026

CYBERCRIME, LAW AND COUNTERMEASURE

CSC 201 Β· 2025/2026

STRUCTURED PROGRAMMING (PYTHON)

CSC 315 Β· 2025/2026

SYSTEM PROGRAMMING WITH C

CSC 319 Β· 2025/2026

INTRODUCTION TO PRINCIPLE OF COMPUTER DESIGN

CSC 206 Β· 2025/2026

THEORY OF COMPUTATION

CSC 208 Β· 2025/2026

COMPUTER PROGRAMMING

CSC 318 Β· 2025/2026

BIOMETRICS

CSC 303 Β· 2024/2025

DATABASE MANAGEMENT SYSTEM

DTS 304 Β· 2025/2026

DATA MANAGEMENT 1

CSC 101 Β· 2025/2026

INTRODUCTION TO COMPUTING

Selected Publications

Evaluation of AI-powered chatbots and voice assistants in user experience: A Nigerian perspective. Nigerian

Authors: Adewoyin, O. , Adewoyin, T. D. , Faboya, O. , & Hassan, J. B.

Nigerian Journal of Engineering, Technology, Science and Environment, 2(3), 2493–4671 β€’ 2026

An improved facial emotion recognition accuracy with balanced data and ResNet18. Optimisation

Authors: Adewoyin, O. , Daramola, C. , Ayogu, B. A. , Afolalu, C. , Faboya, O. , & Odufuwa, T

Journal of Computing, Science & Technology, 4, 34–44. β€’ 2026

Performance Comparison of Feature Selection Techniques for Stroke Prediction Using Multilayer Perceptron

Authors: Olaiya Folorunsho, Ojo A. Fagbuagun, Ikani Ochidi, Olubunmi O. Faboya and Joshua B. Hassan

FUOYE Journal of Engineering and Technology, 10(1), (27-33) β€’ 2025

Development of an intelligent chat monitoring and suspicious activity detection system.

Authors: Mogaji, S. A., Odufuwa, T. T., Afolalu, C. A., Faboya, O. O., Ige, M. V., & Idowu, O. D

FUOYE Journal of Pure and Applied Sciences, 10(1), 212–224. β€’ 2025

Optimising malaria prediction from cell images using forward selection and support vector machine classifier.

Authors: Folorunsho, O., Faboya, O. O., Mogaji, S. A., Ochidi, I., & Willie, E. (2025).

Journal of Science and Logics in ICT Research, 13(1), 109–117. β€’ 2025

Recent Advances on Air Quality Monitoring and Modelling in Nigeria: Challenges and Future Prospects.

Authors: 1. Ajani, C.K., Faboya, O.L., Fomba, K.W., Faboya, O.O.

Fomba, K.W., Tchanche Fankam, B., Mellouki, A., Westervelt, D.M., Giordano, M.R. (eds) Advances in Air Quality Research in Africa. ICAQ-Africa 2022. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-53525-3_15 β€’ 2024

Prediction of Diabetes Risk Using Autoencoder and Shapley Additive Explanations (SHAP): A Deep Learning Approach.

Authors: Folorunsho, O. O., Amoo, O. O., Odufuwa, T., Faboya, O. O. (2024).

FUOYE Journal of Pure and Applied Sciences (FJPAS), 9(1), 1–12 β€’ 2024

Chemometric-enhanced geochemical characterisation of diamondoids in Niger Delta crude oils

Authors: Faboya, O.L., Liao, Z., Sonibare, O.O. Ajani C. K., Faboya O. O., Fomba K. W.

Chemometric-enhanced geochemical characterisation of diamondoids in Niger Delta crude oils. β€’ 2023

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