Projects per year
Personal profile
Overview
Dr Oluyomi Simpson received his PhD degree in communications and electronics engineering from the University of Hertfordshire (UH), Hatfield, UK. His PhD thesis is concerned with cognitive and cooperative wireless communications. He is currently a Principal Lecturer in communications and electronics engineering, academic lead of the communications lab and a key researcher in the wireless communication and RF systems research lab with the School of Physics, Engineering and Computer Science (SPECS) at UH. He has authored over 50 publications and currently serves as an Associate Editor for IEEE Communications Letters.
His research interests and technical expertise are in wireless communication and RF systems, including 5G/6G wireless communication systems, physical layer security, machine learning in communications, cognitive radio communication systems, cooperative and relay networks and communications, RFID technologies and applications and RF energy harvesting communications. Dr Simpson’s research embraces an innovative focus on inter-disciplinary applications. He has researched, supervised, and executed projects that enable efficient adoption of wireless communication algorithms, RF techniques and sensor fusion in telecommunication, electronic, instrumentation and manufacturing industry. His work has been published and presented in numerous journals and leading international conferences. His research has been funded by government agencies and industry such as ERDF, IUK and NDDC.
Teaching specialisms
Mobile Communication Systems
Satellite and Terrestrial Communication Systems
Telecommunication Systems
Research interests
The research activities of Oluyomi Simpson focuses on innovative inter-disciplinary applications and involves the development of novel approaches to engineering. Specifically, his research interests span a range of topics in wireless communication and RF systems, including:
- 5G/6G Wireless Communication Systems
- Cognitive radio communication systems
- Physical Layer Security
- Machine Learning in Communications
- Cooperative and relay networks and communications
- RFID technologies and applications
- RF Energy Harvesting Communication
Research Supervision
I am seeking self-motivated students interested in pursuing a Master's by Research (MRes) or Ph.D. in 6G-related topics at the Wireless and Mobile Communication Lab. Research areas include, but are not limited to:
- Near-field Wireless Communications and Sensing
- Simultaneously Transmitting and Reflecting Surfaces (STARS)
- Cognitive Spectrum Sharing and Optimization
- Next-Generation Multiple Access
Applicants should have a strong background in wireless communications, signal processing, mathematical optimization, or machine learning. If you are interested in joining my team, please email me your CV or contact me via LinkedIn.
I also welcome applications for postdoctoral positions or visiting student/scholar opportunities and am happy to support your proposal applications.
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Collaborations and top research areas from the last five years
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Assessing the impact of strain on temperature readings of a novel sensor developed by 3-Sci Ltd
King, S. (Researcher), Jombo, G. (PI), Simpson, O. (CoI), Duan, W. (CoI) & Bowles, A. (CoI)
3/02/25 → 31/07/25
Project: Research
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Advanced Telematics and RFID Systems for Asset Monitoring in Emergency Medical Services
Simpson, O. (PI) & Sun, Y. (CoI)
6/01/25 → 5/01/27
Project: Research
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Advanced Sensing and Optimisationfor Indoor Wireless Localisation
Simpson, O. (PI) & Awosemusi, K. (Researcher)
16/12/24 → 31/07/25
Project: Research
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KTP Kick Start – Ortus Telematics: RFID Asset Monitoring
Simpson, O. (PI)
27/07/23 → 31/12/23
Project: Research
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A Self-Correction Transformer Network for Traffic Flow Prediction under Dynamic Spatio-Temporal Distributions
Sun, J., Qiu, Z., Sun, Y. & Simpson, O., 7 Jul 2025, (E-pub ahead of print) In: IET Intelligent Transport Systems. 19, 1, 15 p., e70044.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Reconfigurable Intelligent Surfaces (RIS) and their Role in Next-Generation Wireless Networks: An Overview
Nwufo, C., Simpson, O. & Sun, Y., 1 Jun 2025, In: Transactions on Emerging Telecommunications Technologies. 36, 6, p. 1-31 31 p., 70164.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Downloads (Pure) -
Coaxial Cable Distributed Strain Sensing: Methods, Applications and Challenges
King, S., Jombo, G., Simpson, O., Duan, W. & Bowles, A., 22 Jan 2025, In: Sensors. 25, 3, p. 1-39 39 p., 650.Research output: Contribution to journal › Review article › peer-review
Open AccessFile24 Downloads (Pure) -
Drones Classification based on Millimeter Wave Radar Cross Section via Deep Learning
Wang, L., Meng, L., Simpson, O. & Cao, P., 28 Nov 2024, (E-pub ahead of print) 2024 IEEE 100th Vehicular Technology Conference, VTC 2024-Fall - Proceedings. Washington, DC, USA : Institute of Electrical and Electronics Engineers (IEEE), 4 p. (IEEE Vehicular Technology Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile14 Downloads (Pure) -
Opportunistic Interference Alignment in Cognitive Radio Networks with Space-Time Coding
Abdulkadir, Y., Simpson, O. & Sun, Y., 30 Oct 2024, In: Journal of Sensors and Actuator Networks. 13, 5, p. 1-24 24 p., 46.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)13 Downloads (Pure)