Meet our faculty & staff

Samuel Okegbile is currently an Assistant Professor in the School of Computing at UFV. Before joining UFV, he was a Post-Doctoral Fellow with the Network Intelligence and Innovation Laboratory, Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, where he is now co-supervising graduate students. His research interests are in pervasive and mobile computing, including various interesting topics in digital twin networks, the internet of things, data sharing, artificial intelligence, secure wireless communication networks, and blockchain. He has received several awards, including the Horizon Postdoctoral Scholarship, the SENTECH Scholarship, and the University of Pretoria Doctoral Scholarship. He served as the Publication Chair for the 2023 IEEE Biennial Symposium on Communications. He is also the Guest Editor of the special issue on “Digital Twin and IoT” for the Journal of Applied Sciences. He is a regular reviewer of IEEE journals and conferences.

PhD, Computer Engineering, University of Pretoria, 2021. I completed my PhD in the SENTECH Laboratory under the supervision of Professors Sunil Maharaj and Attahiru Alfa (of the University of Manitoba). The thesis is titled “Stochastic Geometry for Interference Characterization in Cognitive Radio Networks”.

MSc., Computer Science, Obafemi Awolowo University, Ile-Ife, 2016

Bachelor of Technology, Ladoke Akintola University of Technology, Ogbomoso, 2011.

Member, IEEE

My teaching philosophy is grounded in the students-as-partners framework, which is aimed at enriching the learning experience. I encourage students to take an active role in generating knowledge by incorporating concept-mapping techniques and methodologies. The strategies I use focus on providing practical, hands-on learning opportunities that promote critical thinking, problem-solving, and collaboration. Through an inclusive approach, I can identify the factors affecting varying levels of student participation and work toward fostering greater engagement, independent thinking, and effective learning for all. To encourage participation, I often utilize Socratic questioning. My teaching method cultivates a collaborative environment, fostering mentor-mentee relationships where students and I work together. This dynamic allows me to maintain high standards for my teaching by regularly reflecting on my methods based on student assessments and feedback.

Pervasive and Mobile Computing: Digital Twin networks, Human Digital Twin, Secure and Privacy-preserving Data Sharing, Applied Artificial Intelligence, Secure Wireless Communication Networks.

Books:

1. D. Okegbile, J. Cai, and C. Yi, Human Digital Twin: Exploring connectivity and security issues, Springer.

Journal:

1. D. Okegbile, J. Cai, J. Chen, and C. Yi, “A Reputation-enhanced Shard-based Byzantine Fault-tolerant Scheme for Secure Data Sharing in Zero Trust Human Digital Twin Systems”, IEEE Internet of Things Journal, Accepted, Feb. 2024. (Impact Factor: 10.6).
2. Zhang, C. Yi, S. D. Okegbile, and J. Cai, “Energy and Cost-Aware Offloading of Dependent Tasks with Edge-Cloud Collaboration for Human Digital Twin,” IEEE Internet of Things Journal, Accepted, May. 2024. (Impact Factor: 10.6).
3. Chen, C. Yi, S. D. Okegbile, J. Cai, and X. Shen, “Networking Technologies for Enabling Human Digital Twin in Personalized Healthcare Applications: A Comprehensive Survey,” IEEE Communications Surveys and Tutorials, Accepted, Aug. 2023. (Impact Factor: 35.6).
4. D. Okegbile, J. Cai, H. Zheng, J. Chen, and C. Yi, “Differentially Private Federated Multi-Task Learning Framework for Enhancing Human-to-Virtual Connectivity in Human Digital Twin,” IEEE Journal on Selected Areas in Communications, Accepted, Aug. 2023. (Impact Factor: 16.4).
5. D. Okegbile, J. Cai, and A. S. Alfa, “Practical Byzantine fault tolerance-enhanced blockchain-enabled data sharing system: Latency and age of data package analysis,” IEEE Transaction on Mobile Computing, Accepted, November 2022. (Impact Factor: 7.9).
6. D. Okegbile, J. Cai, and A. S. Alfa, “Performance analysis of blockchain-enabled data sharing scheme in cloud-edge computing-based IoT networks,” IEEE Internet of Things Journal, vol. 9, no. 21, pp. 21520 – 21536, Nov. 2022. (Impact Factor: 10.6).
7. D. Okegbile, J. Cai, C. Yi, and D. Niyato, “Human Digital Twin for Personalized Healthcare: Vision, Architecture and Future Directions,” IEEE Network, Accepted, May 2022. (Impact Factor: 9.3).
8. D. Okegbile, B. T. Maharaj, and A. S. Alfa, “A multi-class channel access scheme for cognitive edge computing-based internet of things networks,” IEEE Transactions on Vehicular Technology, vol. 71, no. 9, pp. 9912-9924, May 2022. (Impact Factor: 6.8).
9. D. Okegbile, B. T. Maharaj, and A. S. Alfa, “A multi-user tasks offloading scheme for integrated edge-fog-cloud computing environments,” IEEE Transactions on Vehicular Technology, vol. 71, no. 7, April 2022. (Impact Factor: 6.8).
10. O. Coli, S. Aina, S. D. Okegbile, A. R. Lawal, A. I. Oluwaranti, “Distributed Denial of Service Attacks Detection in Internet of Things using Deep Gaussian-Bernoulli Restricted Boltzmann Machine,” Modern Applied Science, vol. 16, no. 2, 2022.
11. D. Okegbile, B. T. Maharaj, and A. S. Alfa, “Interference characterization in underlay cognitive networks with intra-network and inter-network dependence,” IEEE Transactions on Mobile Computing, Vol. 20, no. 10, Oct. 2021, pp. 2977 - 2991. (Impact Factor: 7.9).
12. Okegbile, B. Maharaj, and A. Alfa, “Stochastic geometry approach towards interference management and control in cognitive radio network: A survey,” Computer Communications, vol. 166, Jan. 2021, pp. 174-195. (Impact Factor: 6).
13. Okegbile, and B. Maharaj, “Age of information and success probability analysis in hybrid spectrum access massive cognitive networks,” Applied Sciences, vol. 11, no. 4 Jan. 2021, pp. 1940. (Impact Factor: 2.7).
14. Okegbile, B. Maharaj, and A. Alfa, “Outage and throughput analysis of cognitive users in underlay cognitive radio networks with handover,” IEEE Access, 8, pp. 208045-208057, Nov. 2020. (Impact Factor: 3.9).
15. D. Okegbile, B. T. Maharaj, and A. S. Alfa, “Spatiotemporal Characterization of Users’ Experience in Massive Cognitive Radio Networks,” IEEE Access, vol. 8, pp. 57114-57125, Mar. 2020. (Impact Factor: 3.9).
16. D. Okegbile, and O. I. Ogunranti, “Users emulation attack management in massive internet of things enabled environment,” ICT Express, vol. 6, no. 4, Dec. 2020, pp. 353-356. (Impact Factor: 5.4).
17. Aina, K. V. Sholesi, A. R. Lawal, S. D. Okegbile, A. I. Oluwaranti, “Gesture recognition system for Nigerian tribal greeting postures,” Malaysian Journal of Computing, Accepted, Sep. 2020.
18. Aina, S. D. Okegbile, A. I. Oluwaranti, B. O. Okoro, and T. Obasanya, “Toward a More Robust Home Automated System: Introducing a Voice Activation Technique via Pubnub,” International Journal of Information Technology and Web Engineering, vol. 14, no. 3, pp. 78- 92, July 2019.
19. D. Okegbile, S. Aina, S. Akinmodun, A. I Oluwaranti, and A. R. Lawal, “A Multimodal Approach to Enhancing Automobile Security,” International Journal of Computer Vision and Image Processing, vol. 9, no. 2, pp.32-47, April 2019.
20. Aina, S. D. Okegbile, P. Makanju, and A. I. Oluwaranti, “An Architectural Framework for Facebook Messenger Chatbot Enabled Home Appliance Control System,” International Journal of Ambient Computing and Intelligence, vol. 10, no. 2, pp.18-33, Apr. 2019.
21. Okegbile, A. Oluwaranti, S. and Aina, “On Evaluating the Efficacy of Predictive Models for Cognitive Radio Spectrum Availability in Nigeria,” Wireless Engineering and Technology, 9, 49-65, July 2018.
22. D. Okegbile, S. Aina, and G. K. Ogunleye, “An Improved and Cost-Effective Radio Frequency based Object Detection System,” International Journal of Computer Applications, vol. 174, no. 5, pp. 33-39, 2017.
23. Lawal, S. Aina, S. Okegbile, S. Ayeni, D. Omole, and A. I. Oluwaranti, “Palm Vein Recognition System Based on Derived Pattern and Feature Vectors,” International Journal of Digital Literacy and Digital Competence, vol. 8, no. 2, pp. 56-72, Apr. 2017.
24. Okegbile, A. Oluwaranti, and A. Aderibigbe, “Web-Based Automatic Soil Chemical Contents Monitoring System,” International Journal of Advanced Pervasive and Ubiquitous Computing, vol. 8, no. 1, pp. 39-51, Jan. 2016.

Conference:

1. Yekanlou, J. Cai, and S. D. Okegbile, “Maximizing Efficiency: Relocation and Deduplication for Result Caching in Edge Computing Networks,” IEEE VTC Conference, Washington, October 2024, pp. 1 – 6.
2. Salarbashishahri, S. D. Okegbile, and J. Cai, “A Shapley value-enhance evaluation technique for effective aggregation in Federated Learning,” in IEEE Future Networks World Forum, Montreal, Oct. 2022, pp. 1—6.
3. Arian Fotouhi, S. D. Okegbile, and J. Cai, “Trust-enhanced blockchain-enabled framework for secure and privacy-preserving data sharing systems,” in IEEE Future Networks World Forum, Montreal, Oct. 2022, pp. 1—6.
4. D. Okegbile, and J. Cai, “Edge-assisted human-to-virtual twin connectivity scheme for human digital twin frameworks,” in IEEE VTC Conference, Helsinki, Jun. 2022, pp. 1 – 6.
5. Okegbile, B. Maharaj, and A. Alfa, “Malicious users control and management in cognitive radio networks with priority queues,” in IEEE VTC Conference, British Columbia, Oct. 2020, pp. 1 – 6.
6. Okegbile, B. Maharaj, and A. Alfa, “Relaying techniques-based outage analysis for mobile users in cognitive radio networks,” in IEEE VTC Conference, Antwerp, May 2020, pp. 1 – 5.
7. Oluwaranti, and S. Okegbile, “Two-state Markov chain based predictive model for cognitive Radio spectrum availability: A conceptual approach,” in IEEE Future Technologies Conference, San Francisco, Dec. 2016, pp. 179-186.
8. Aina, A. R. Lawal, S. D. Okegbile, D. O. Asamu, A. I. Oluwaranti, “Development of an ethic classification model based on traditional attires,” Proceedings of AICTTRA, 2021.
9. P. Gambo, S. D. Okegbile, R. N. Ikono, P. O. Achimugu, and D. E. Oduronbi, “Requirements and Design Specification for a Portable Learning System: Development Perspective,” in Proceedings of the OAU Faculty of Technology Conference, Ile-Ife, 2017.
10. I.P. Gambo, S. D. Okegbile, M. O. Ajala, R. N. Ikono, and C. Agbonkhese, “Cloud Adaptability Issues: A Case with the Nigeria Computing System,” in Proceedings of the OAU Faculty of Technology Conference, Ile-Ife, 2017