Senior Lecturer at Walter Sisulu University, South Africa
Dr. Olukayode A. Oki is a prominent figure in the field of computer science, specializing in cognitive radio networks, wireless communications, and cybersecurity. With a robust academic career, he currently serves as a Senior Lecturer in the Information Technology Department at Walter Sisulu University, South Africa. Dr. Oki is renowned for his contributions to both teaching and research, focusing on innovative approaches to spectrum decision-making and the application of machine learning in cybersecurity. His dedication to fostering academic excellence and mentorship is evident in his involvement in guiding numerous undergraduate and postgraduate students through their research projects.
Profile
ORCID
Education
Dr. Oki’s educational background is distinguished by three significant academic achievements. He completed his Ph.D. in Computer Science at the University of Zululand, South Africa, in 2019. His doctoral research focused on “Spectrum Decision Making in Distributed Cognitive Radio Networks using an Optimal Foraging Approach,” highlighting his expertise in cognitive radio technology. Prior to this, he obtained his M.Sc. in Computer Science from the same institution in 2014, where he evaluated the impact of quality of service mechanisms in power-constrained wireless mesh networks. His academic journey began with a B.Tech (Hons.) in Computer Science and Engineering from Ladoke Akintola University of Technology, Nigeria, in 2007, where he explored data mining in educational databases.
Experience
Dr. Oki has garnered extensive teaching experience over the years. Since January 2023, he has held the position of Senior Lecturer at Walter Sisulu University, following his tenure as a Lecturer in the same department from March 2020 to December 2022. His teaching philosophy emphasizes practical learning, team collaboration, and a learner-centered approach, aiming for a 70% pass rate among his students. Dr. Oki has developed and delivered a range of courses at both undergraduate and postgraduate levels, including Application Development Technology, Python Programming for Data Science, and Wireless Ad Hoc Networks. He has also contributed significantly to curriculum development, course design for new programs, and the creation of teaching materials.
Additionally, Dr. Oki has a notable research background, having supervised several Master’s and Honours candidates and having published collaboratively with students. His experience includes examining dissertations for multiple universities, which demonstrates his engagement with the academic community.
Research Interests
Dr. Oki’s research interests span a variety of critical areas within computer science. His primary focus lies in cognitive radio networks, where he investigates optimal spectrum decision-making strategies. He is also interested in wireless mesh networks and their quality of service mechanisms. In recent years, Dr. Oki has delved into cybersecurity, particularly the application of machine learning to enhance data security and develop intelligent systems for fraud detection. His active participation in research projects has led him to mentor both Master’s and PhD candidates, fostering a new generation of researchers in the field.
Awards
Dr. Oki has received several prestigious awards in recognition of his research contributions and academic excellence. He has been honored as a South Africa National Research Foundation (NRF) Rated Researcher for the period 2022-2027, which highlights his significant contributions to the field. In addition, he received the Vice Chancellor’s Distinguished Research Award in 2022 and was recognized as a Highly Productive Emerging Researcher by Walter Sisulu University in the same year. His affiliation with the London Journal Press as an Honorary Rosalind Member further underscores his impact on academic publishing and research.
Publications
Dr. Oki has an extensive list of publications, showcasing his commitment to advancing knowledge in computer science. His work includes contributions to books, refereed journals, and conference proceedings, with a focus on topics such as machine learning, cognitive radio technology, and education in technology. Some notable publications include:
Oki, O. A., Uleanya, C., & Mbanga, S. (2023). “Echoing the effect of information and communications technology on rural education development.” Technology Audit and Production Reserves, 1(2), 6–14. Link
Rawat, R., Oki, O.A., Sankaran, K.S., Florez, H., & Ajagbe, S. (2023). “Techniques for predicting dark web events focused on the delivery of illicit products and ordered crime.” International Journal of Electrical and Computer Engineering (IJECE), 13(5), 5354-5365. Link
Nigar, N., Shahzad, M. K., Islam, S., Oki, O., & Lukose, J. (2023). “Multi-Objective Dynamic Software Project Scheduling: A Novel Approach.” IEEE Access, 11, 39792-39806. Link
Rawat, R., Oki, O.A., Chakrawarti, R., Adekunle, T., Lukose, J., & Ajagbe, S. (2023). “Autonomous Artificial Intelligence Systems for Fraud Detection and Forensics in Dark Web Environments.” Informatica, 47, 51–62. Link
Ajiboye, O. K., Ofosu, E. A., Gyamfi, S., & Oki, O. (2023). “Hybrid Renewable Energy System Optimization via Slime Mould Algorithm.” International Journal of Engineering Trends and Technology, 71(6), 83-95. Link
Lukose, J., Mwansa, G., Ngandu, R., & Oki, O. (2023). “Investigating the Impact of Social Media Usage on the Mental Health of Young Adults in Buffalo City, South Africa.” International Journal of Social Science Research and Review, 6(6), 303-314. Link
Nigar, N., Shahzad, M. K., Islam, S., Oki, O., & Lukose, J. “A Novel Multi-Objective Evolutionary Algorithm to Address Turnover in the Software Project Scheduling Problem.” IEEE Access, 11, 89742-89756, 2023.
Nigar, N., Faisal, H. M., Shahzad, M. K., Islam, S., & Oki, O. (2022). “An Offline Image Auditing System for Legacy Meter Reading Systems in Developing Countries: A Machine Learning Approach.” Journal of Electrical and Computer Engineering, 2022, Article ID 4543530. Link
Oki, O.A., Ajagbe, S.A., Mahanjana, A., & Afolabi, O.S. (2022). “Investigating the adoption of Smart Healthcare Monitoring System in the Rural Area.” PONTE International Scientific Researches Journal, 78(9). Link
Oki, O.A., & Lawrence, M.O. (2022). “The cost-effectiveness of fibre optic technology deployment in rural areas: a case study of Mdantsane.” Journal on Innovation and Sustainability RISUS, 13(2), 111-123. Link
Nigar, N., & Oki, O.A. (2022). “Software Project Scheduling: A Systematic Literature Review.” COJ Robotics and Artificial Intelligence, 2(3).
Oki, O.A., Olwal, T.O., & Adigun, M.O. (2021). “Performance Analysis of FISSER Model in Rural-Urban Cognitive Radio Networks.” Journal of Physics: Conference Series, 1995, 012013. Link
Conclusion
Olukayode A. Oki is a highly qualified and deserving candidate for the Best Researcher Award. His academic achievements, numerous awards, and significant contributions to research in Computer Science, especially in wireless networks, AI, and cognitive radio, highlight his excellence. Enhancing industry collaboration, interdisciplinary research, and international visibility could further solidify his standing as a global leader in his field.