Personal Details

Dr. Stephen G. Fashoto

Ph.D, MSc, BSc

Senior Lecturer - Department of Computer Science

Ph.D Soft Computing - University of Ilorin, Nigeria

Research Areas

1. Information Security
2. Artificial Intelligence
3. Innovative Technology
4. Data Mining

Courses taught

1. Computer Programming I
2. Computer Programming II
3. Introduction to Data Mining

Research Profile

1. Google Scholar: https://scholar.google.com/citations?user=3WrBt3cAAAAJ&hl=en

Publications

1. Fashoto SG & Sani S. (2021). Design and Implementation of MOLP Problems with Fuzzy Objective Functions Using Approximation and Equivalence Approach. IAENG International Journal of Computer Science, Vol. 48, issue 2
2. Israel Elujide, Fashoto SG, Bunmi Fashoto, Elliot Mbunge, Sakinat O Folorunso, Jeremiah O Olamijuwon (2021). Application of deep and machine learning techniques for multi-label classification performance on psychotic disorder diseases. Informatics in Medicine Unlocked, Vol. 23, 100545. Elsevier
3. Fashoto SG, Mbunge, E, Ogunleye GO & Van den Burg J. (2021). Implementation of machine learning for predicting maize crop yields using multiple linear regression and backward elimination. MALAYSIAN JOURNAL OF COMPUTING, Vol. 6, issue 1, pp. 679-697
4. Mbunge, E., Akinnuwesi, B., Fashoto, S. G, Metfula, A. & Mashwmama, P. (2020). A critical review of emerging technologies for tackling COVID‐19 pandemic. Human Behavior and Emerging Technologies. John Wiley & Sons, Inc.
5. Fashoto S.G, Akinnuwesi B.A, Mbunge E, & Metfula A.S. (2020). Financial Inclusion Dataset Classification in Eswatini using Support Vector Machine and Logistic Regression. International Journal of Business Information Systems, University of Massachusetts, North [Inderscience Publishers].
6. Mbunge, E., Fashoto, SG, & Bimha, H. (2020). Prediction of Box-office Success: A review of Trends and Machine Learning Computational models. International Journal of Business Intelligence and Data Mining. 10.1504/IJBIDM.2021.10032162 (Inderscience).
7. Folorunso, S., Fashoto, SG, Olaomi, J & Fashoto, OY (2020). A Multi-Label Learning Model for Psychotic Diseases in Nigeria. Informatics in Medicine Unlocked, Vol. 19, 100326, Elsevier
8. Akinnuwesi, BA., Adegbite, AB, Adelowo, F., Ima-Edomwonyi, U., Fashoto, SG, & Amumeji, OT (2020). Decision support system for diagnosing Rheumatic-Musculoskeletal Disease using fuzzy cognitive map technique. Informatics in Medicine Unlocked. Vol 18 pages 100279 Elsevier
9. Mashwama, P., Fashoto SG, Mbunge, E. & Gwebu, S. (2020). Development of a Mobile Inter-Vehicular Communication System Based on Gossip Algorithm. International Journal of Interactive Mobile Technologies. Vol. 14(11). pp. 4-21.
10. Mbunge, E., Fashoto, S.G. & Dlamini, S. (2019). Modelling a Gossip-Based Protocol for Enhanced Dynamic Routing. Asian Journal of Information Technology, Vol. 18(8), pp. 203-206
11. Fashoto, S. G., Akinnuwesi, B., Owolabi, O., & Adelekan, D. (2016). Decision Support Model for Supplier Selection in Healthcare Service Delivery Using Analytical Hierarchy Process and Artificial Neural Network. African Journal of Business Management, vol. 10(9), pp.209 - 232
12. Fashoto, S.G., Uzoka, FME & Okpokpo, G. (2016). Application of Analytical Hierarchy Process to Optimization of Healthcare financing. International Journal of Business Information System University of Massachusetts, North Dartmouth, MA 02747-2300, USA. [Inderscience Publishers]
13. Fashoto, SG, Adekoya, A, Owolabi, O., Ogunleye, GO, Saseyi, A & Tomori, RG.(2016). Development Of An Identity Management System For A Web Proxy Server In A Tertiary Institution Using Anonymity Technology. International Journal of Physical Sciences, Vol. 11(13), pp.157 – 167
14. Gayawan, E., Adarabioyo,M.I., Okewole, D.M., Fashoto, S.G. & Ukaegbu, J.C. (2016). Geographical variations in infant and child mortality in West Africa: a geo-additive discrete-time survival modelling. Journal of Population Sciences [Springer publishers], volume 75(3), Sapienza University of Rome, Italy.
15. Ameen A. O., Balogun A. O., Usman G. & Fashoto S. G.(2016). Heterogenous Ensemble Methods based on filter feature selection. Computing, Information Systems, Development Informatics & Allied Research Journal, Vol. 7(4), pp. 63 - 78
16. Ogunleye, GO, Fashoto, SG & Ojewunmi, TO (2016). An ANFIS-BASED Framework for Detecting DDOS Attack. Computing and Information Science Journal, Vol. 20 issue 2, pp. 1-14
17. Fashoto, S. G., Akinnuwesi, B., Owolabi, O., & Adelekan, D. (2016). Decision Support Model for Supplier Selection in Healthcare Service Delivery Using Analytical Hierarchy Process and Artificial Neural Network. African Journal of Business Management, vol. 10(9), pp.209 – 232
18. Ogunleye, GO, Fashoto, SG & Weje, E. (2016). A Fuzzy Logic Expert System for the Prediction of Breast Cancer. Computing and Information Science Journal, Vol. 20, No. 1, pg.. 10- 20.
19. Akinnuwesi, B.A., Uzoka, F.M.E. & Fashoto, S. G. (2016). Exploring Biometric Technology Adoption in a developing country context using modified UTAUT. International Journal of Business Information System, Volume 21(3) University of Massachusetts, North Dartmouth, MA 02747-2300, USA. [Inderscience Publishers].
20. Faith-Michael E. Uzoka, Boluwaji A. Akinnuwesi, Taiwo Amoo, Flora Aladi, Stephen Fashoto, Moses Olaniyan, Joseph Osuji (2016). A framework for Early Differential Diagnosis of Tropical Confusable Diseases using the Fuzzy Cognitive Map Engine. International Journal of Computer, Electrical, Automation, Control and information Engineering, Vol. 10(2), pg. 306 – 313

Books (Peer Reviewed)

1. Fashoto, SG. (2016). A Hybrid Approach to Fraud Detection in Health Insurance Based on Improved K-means Clustering and Multilayer Perceptron. Lambert Academic Publishing (LAP) Germany. ISBN 978-3-659-88122-0

Selected Conference Proceedings (Peer Reviewed)

1. Akinnuwesi B.A., Fashoto S.G., Metfula A.S. & Akinnuwesi A.N. (2020) Experimental Application of Machine Learning on Financial Inclusion Data for Governance in Eswatini. In: Hattingh M., Matthee M., Smuts H., Pappas I., Dwivedi Y., Mäntymäki M. (eds) Responsible Design, Implementation and Use of Information and Communication Technology. I3E 2020. Lecture Notes in Computer Science, vol 12067. Springer, Cham
2. Uzoka, FME, AKINNUWESI, BA, AMOO, T., DEBELE, F., Fashoto,SG., NWAFOR-OKOLI, C. (2018, May). An expert system for malaria diagnosis using the Fuzzy Cognitive Map Engine (Best Paper Award) IEEE-IST Africa, Botswana, 2018 Conference Proceedings Paul Cunningham and Miriam Cunningham (Eds) IIMC International Information Management Corporation, page 1 -13, May, 2018 ISBN: 978-1-905824-59-5 www.IST-Africa.org/Conference2018
3. Mbunge, E., Fashoto, S.G. & Metfula, A.S.( 2019, March). Adoption of free and open source software in teaching and learning of STEM subjects in high schools using R-programming in the Kingdom of Eswatini. Pan African Conference for Science and Computing in University of Swaziland, Swaziland.