Associate Professor - Computer Science
Prof Boluwaji A. Akinnuwesi
Email: bakinnuwesi@uniswa.sz
Telephone: ----
Office: By Old Pension Fund Offices
Personal Details
Prof Boluwaji A. Akinnuwesi
Ph.D. Computer Science, MSc, BSc (Hons)
Associate Professor - Computer Science
Ph.D Computer Science - Nigeria
Research Areas
- Software Engineering
- Soft Computing
- Health Informatics
- Database Systems
- Medical Informatics
- Machine Learning
- System Analysis and Design
Biography
Professor Boluwaji Ade Akinnuwesi is an Associate Professor in Department of Computer Science, University of Eswatini. He obtained his degrees (B.Sc., M.Sc. and Ph.D) in Computer Science. He focuses on Software Engineering and its Applications and thus applies software development methodologies to model and solve real life problems. He has developed a number of software frameworks for solving some life problems and examples are: LASU eHelpDesk software and LASU ePERS software for auto-generation of CVs and APER form for academic staff. His core area of application is medical informatics. He applies soft computing and machine learning techniques in developing medical diagnostic system that could enhance accurate diagnosis of tropical diseases with overlapping symptoms. While in Lagos State University (LASU), Nigeria as an Associate Professor, he successfully supervised 11 Masters and 2 Doctoral theses. In addition, he has served in various academic management and administrative capacities such as Acting Head of Department, LASU; Director of Computer Centre, Bells University of Technology, Nigeria; Member of University Senate, Department/Faculty Board of Studies and several committees in the University. He has served in the capacity of external examiner to some Universities and Colleges of Education. He also carry out review activities for a number of journals and conferences. He has published a number of papers in journals and conference proceedings in his area of research. He is a full member of the following professional bodies: Computer Professional Registration Council of Nigeria, Nigeria Computer Society and Association of Computing Machinery. He was a research scholar in Southern University, Louisiana, USA.
Research Profile
- Google Scholar: https://scholar.google.com/citations?user=_gZ6sR0AAAAJ&hl=en
- Researchgate: https://www.researchgate.net/profile/Boluwaji_Akinnuwesi2/research
- Scopus: https://www.scopus.com/authid/detail.uri?authorId=39860962400
Recent Published Journal Articles
- Akinnuwesi, B.A., Odumabo, A. and Aribisala, B.S., 2020. Knowledge Grid: An Intelligent System for Collaboration and Knowledge Management in Nigerian Universities. Data Science Journal, 19(1).
- Akinnuwesi, B.A., Adegbite, B.A., Adelowo, F., Ima-Edomwonyi, U., Fashoto, G. and Amumeji, O.T., 2020. Decision support system for diagnosing Rheumatic-Musculoskeletal Disease using fuzzy cognitive map technique. Informatics in Medicine Unlocked, 18, p.100279.
- Uzoka, F.M.E. and Akinnuwesi, B.A., 2019. Development and Evaluation of an AHP Model for Software Systems Selection. Multiple Criteria Decision Making, 14, pp.108-127.
- Boluwaji A. Akinnuwesi , Gboyega D. AdenaikeA, Systematic Review of Soft Computing Techniques for Software Testing
,International Journal of Computer Science & Management Studies 40 (1), 7 - 17
- Enikuomehin, O.A., Akinnuwesi, B.A., Rahman, M.A., Akerele, O.C., Raji-Lawal, H.Y. and Sobola, S.O., Information System based Pharmacovigliance for the Management of Malaria: Advances in the Nigeria Context.
- Akinnuwesi, B.A., Enikuomehin, O.A., Rahman, M.A., Shanu, R.O., Akerele, O.C. and Raji-Lawal, H.Y., Diagnosing Meningitis: A Comparative Study of Conventional Clinical and Computational Diagnostic Methods.
- Uzoka, F.M.E., Akinnuwesi, B.A., Amoo, T., Aladi, F., Fashoto, S., Olaniyan, M. and Osuji, J., 2016. A Framework for Early Differential Diagnosis of Tropical Confusable Diseases Using the Fuzzy Cognitive Map Engine. World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 10(2), pp.346-353.
- Uzoka, F.M.E., Akinnuwesi, B.A., Oluwole, N., Adekoya, A.F. and Egbekunle, O.Y., 2016. Identifying factors for evaluating software project proposals. International Journal of Quality Engineering and Technology, 6(1-2), pp.93-114.
- Akinnuwesi, B.A., Uzoka, F.M.E., Okwundu, O.S. and Fashoto, G., 2016. Exploring biometric technology adoption in a developing country context using the modified UTAUT. International Journal of Business Information Systems, 23(4), pp.482-521.
- Akinnuwesi, B.A., Enikuomehin, O.A., Uzoka, F.M.E., Onwudike, O.C., Osamiluyi, A. and Aribisala, B.S., 2014. Electronic helpdesk support system in tertiary institutions in developing countries. International Journal of Computer and Information Technology, 3(6), pp.1-12.
- Akinnuwesi, B.A., Uzoka, F.M.E. and Osamiluyi, A.O., 2013. Neuro-fuzzy expert system for evaluating the performance of distributed software system architecture. Expert systems with applications, 40(9), pp.3313-3327.
- Akinnuwesi, B.A., Uzoka, F.M.E. and Obasa, A.P., 2013. Enhancing automated teller machine with multi-lingual and multi-denominational software functionalities. International Journal of Electronic Finance, 7(2), pp.97-114.
- Akinnuwesi, B.A., Olabiyisi, S.O., Uzoka, F.M.E. and Omidiora, E.O., 2013. Case Simulation of User-Centric Performance Evaluation Model for Distributed Software System Architecture. International Journal, 3(1).
Conference papers
- Akinnuwesi, B.A., Fashoto, S.G., Metfula, A.S. and Akinnuwesi, A.N., 2020, April. Experimental Application of Machine Learning on Financial Inclusion Data for Governance in Eswatini. In Conference on e-Business, e-Services and e-Society (pp. 414-425). Springer, Cham.
- Uzoka, F.M.E., Akinnuwesi, B.A., Amoo, T., Debele, F., Fashoto, G. and Nwafor-Okoli, C., 2018, May. An Expert system for malaria diagnosis using the fuzzy cognitive map engine. In 2018 IST-Africa Week Conference (IST-Africa) (pp. 1-13). IEEE.
- Arekete, S., Ifinedo, P. and Akinnuwesi, B.A., 2014, October. Antecedent factors to end-users' symbolic acceptance of enterprise systems: An analysis in Nigerian organizations. In 2014 IEEE 6th International Conference on Adaptive Science & Technology (ICAST) (pp. 1-8). IEEE.
- Ifinedo, P. and Akinnuwesi, B.A., 2014, October. Employees' non-malicious, counterproductive computer security behaviors (CCSB) in Nigeria and Canada: an empirical and comparative analysis. In 2014 IEEE 6th International Conference on Adaptive Science & Technology (ICAST) (pp. 1-7). IEEE.
- Akinnuwesi, B.A., Uzoka, F.M., Olabiyisi, S.O., Omidiora, E.O. and Fiddi, P., 2013. An Empirical Analysis of EndāUser Participation in Software Development Projects in a Developing Country Context. The Electronic Journal of Information Systems in Developing Countries, 58(1), pp.1-25.