
TITLE (PROF/DR/): DR.
NAME: OLUMIDE AKINTUNDE ALAMU
POSITION: LECTURER I SPECIALISATION: COMMUNICATIONS
EDUCATION/TRAINING (Begin with Bachelor’s degree or other initial professional education, such as nursing, include postdoctoral training and residency training if applicable. Add/delete rows as necessary.)
INSTITUTION AND LOCATION | DEGREE (if applicable)
| Completion Date MM/YYYY
| FIELD OF STUDY
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Ladoke Akintola University of Technology, Ogbomoso, Nigeria
| B.Tech. | 11/2009 | Electronic and Electrical Engineering. |
University of Lagos- Akoka, Lagos Nigeria | M.Sc. | 04/2016 | Electrical and Electronics Engineering
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Tshwane University of Technology, South Africa. | D.Eng. | 02/2024 | Electrical Engineering |
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Personal Statement
I am an electrical engineer with a passion for innovative research in the field of wireless communication networks. My research focuses on the design and modelling of energy-efficient wireless communication systems. Specifically, I am investigating how the energy carried by radio frequency (RF) signals in cellular network transmitters can be harnessed and optimised to wirelessly charge mobile devices within the network. Currently, I am proposing the integration of machine learning algorithms to develop intelligent mobile devices capable of adapting to the energy harvesting arrival rate from intermittent energy sources and the variations introduced by fading communication channels. My main goal is to contribute to the development of sustainable and eco-friendly communication systems.
Positions, Scientific Appointments, and Honours
- Journal Reviewer (Springer – Wireless Personal Communication Networks)
Selected Most Recent Publications /Contributions to Knowledge
- Alamu, O., Olwal, T.O. and Migabo, M.E. (2025), “Analysis of STBC-aided energy harvesting cooperative NOMA for Internet of Things”, World Journal of Engineering, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/WJE-12-2024-0719
- Alamu, O., Olwal, T. O., & Migabo, E. M. (2025). Machine Learning Applications in Energy Harvesting Internet of Things Networks: A Review. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3525263
- Alamu, O., Olwal, T. O., & Djouani, K. (2025). Sum-rate maximization for a distributed space-time block code-aided cooperative NOMA with energy harvesting. Wireless Networks, 31(1), 281-298. https://doi.org/10.1007/s11276-024-03757-7
- Alamu, O., Olwal, T. O., & Djouani, K. (2024). Cooperative visible light communications: An overview and outlook. Optical Switching and Networking, 100772. https://doi.org/10.1016/j.osn.2024.100772
- Alamu, O., Olwal, T. O., & Djouani, K. (2023). Achievable rate optimization for space–time block code-aided cooperative NOMA with energy harvesting. Elsevier, Engineering Science and Technology, an International Journal, 40, 101365. https://doi.org/10.1016/j.jestch.2023.101365
Collaborators/ Networks (International inclusive)
- Thomas Otieno Olwal, Tshwane University of Technology, South Africa
- Karim Djouani, Paris-East Créteil University, France
- Emmanuel Migabo, Tshwane University of Technology, South Africa