Profile of Francis S. Bakpo (Ph.D)

BAKPO, Francis Sunday is a Professor of Computer Science in the Faculty of Physical Sciences, University of Nigeria Nsukka. He holds a PhD degree in Computer Engineering from Enugu State University of Science and Technology (2008). He was Coordinator, Computer/Statistics (Sandwich) BSc. Programme (2000 to 2003), Coordinator, Computer and Basic Physical Sciences (2003 to 2007), Head of Department, Computer Science (2013/2014 to 2016/2017), Head of Department, Computer Science (2022/2023 to 2023/2024),
Chairman and member of various National University Commissions (NUC) Ad-hoc Accreditation Panels from 2014 till date, Director, Roar Nigeria Hub, UNN (2017 till date), Director, Computing Centre, UNN (September 2024 till date). Under my leadership, the Roar Nigeria Hub has successfully trained 31 Start-ups research outputs and produced 5 innovation Cohorts as well as received 8 accolades and awards of various amounts: $5,000, N2m, $5,000, $1,000, N2m and N5m, respectively. Professor F. S. Bakpo has published sixty five peer -reviewed journal articles, and conference proceeding papers in his research areas. He was appointed a full professor in 2010. He has taught full-time for 28 years. He has also successfully supervised thirty three (33) PhDs and more than 40 M.Sc candidates. He is currently supervising more than 15 PhDs. He has served as external adjudicator to 61 PhD and 63 MSc candidates from various Universities, local and international (India). He is dully registered professionally as member Nigeria Computer Society, MNCS, Computer professional of Nigeria, MCPN and member International Association of Engineers, MIAENG.
Research Interests:
Software Engineering, Artificial Intelligence, Cybersecurity and Petri nets theory/applications.

Selected Publications:
Ezea, I. L, Udanor, C. N., Agu, N. M. & Bakpo, F. S. (2024). A Conceptual Model for Undergraduate Suicide Risk Data Labeling. Journal, Advances in Mathematical & Computational Sciences. Vol. 12 No. 1, 2024 Series. www.isteams.net/mathematics-computationaljournal
Ezea, I. L., Eneh, A. H., Agu, N. M, & Bakpo, F. S. (2023). A Synchronised Mobile Responsive Application for Suicide Ideation Detection, Computing Information Systems, Development Informatics, and Allied Research Journal, Vol. 14, No. 3, September, 2023. https://www.isteams.net/cisdjournal
Ekle, F. A., Agu, M. N., Bakpo, F. S., Udanor, C. N, & Eneh, A. H. (2023) A Machine Learning Model and Application for Heart Disease Prediction using Prevalent Risk Factors in Nigeria, International Journal of Mathematical Analysis and Modelling, Volume 6, Issue 2, 2023, Pages 333-344.
F.A. Ekle, M. N. Agu, F.S. Bakpo, C. N. Udanor, & A.H. Eneh (2023). A machine learning model and application for heart disease prediction using prevalent risk factors in Nigeria. International Journal of Mathematical Analysis and Modelling Volume 6, Issue 2, October-November 2023, pages 333 – 344.
Ezea, I. L., Agu, M. N. & Bakpo, F. S. (2023). System Testing and Evaluation of Undergraduate Intelligent Applications for Suicide Ideation Detection, Proceedings of the 36th iSTEAMs Accra Bespoke Multidisciplinary Innovations Conference, P.309-330.University of Ghana, Accra, Ghana.
O. T. Ogar, F. S. Bakpo, Eneh, A.H. & Umoh Enoima Essien (2022). A Unified Framework for Summarisation of Nollywood Movie Sequences and Audio Sound Data, International Journal of Computer Applications, Volume 184, no 38, December, 2022.
Zayyanu Umar, Francis S. Bakpo, Collins N. Udanor & Musa, Ibrahim Kamba (2021). A Forensic Approach for Diverse Cloud Computing Systems. International Journal of Engineering Research & Technology (IJERT), Vol.10 (6), pp.1020-1028.
Ugwoke O. Paulinus, Bakpo S. Francis & Okoronkwo, C. Matthew (2021). A Framework for Monitoring Movements of Pandemic Disease PatientsBased on GPS Trajetory Datasets. Wireless Networks: 28(1), 1-28 (TR3.0) https://doi.org/10.1007/s11276-021-02819-4.
Bakpo, F. S. and Ukekwe, E. C. (2014). Design of a GSM Promotions Task Manager, British Journal of Science, vol. 11 (2), pp 32-43.
Bakpo, F. S. and Kabari, L.G. (2011). Diagnosing Skin Diseases: An Artificial Neural Network Approach. “In Kenji Suzuki, ed., Artificial Neural Networks: Methodological Advances and Biomedical Applications”, INTECH Open Access Publisher, Chapter 13, ISBN: 978-953-307-243-2, Available at: http://www.intechopen.com/articles/
Bakpo, F. S., Ezugwu, O. A. & Ukekwe, E. C. (2015). Programming Considerations for the Design of Token Ludo Game Using Petri Nets. International Journal of Telecommunications,vol. 31 (1), pp8-12 UK.
Ogbodo, I. A & Bakpo, F. S. (2020). Patient-Centric Cloud Based EHR System for Government Hospitalsin Developing Countries, IOSR Journal of Computer Engineering (IOSR-JCE), 22(4), pp.53-61.

Office: Room 420 Abuja Building
Department of Computer Science
University of Nigeria, Nsukka
Phone: +2348034401289
e-mails: francis.bakpo@unn.edu.ng; francisbakpo21@gmail.com
Linkedln: https://www.linkedln.com/in/francis-bakpo-47b690162 /
Google Scholar: https://scholar.google.com/citations?user=edGvvoEAAAAJ&hl=en