Personal profile

Research interests

Dr. Oluyomi Simpson has over 10 years of experience in initiating, conducting, contributing to, and leading high-quality research. His technical expertise spans algorithms, optimisation, and the hardware design and implementation of communication systems, including wireless communication, RF systems, and digital systems. His research activities are rooted in innovative, interdisciplinary applications, with a strong emphasis on developing novel approaches to engineering challenges. Specifically, his research interests span a range of topics in wireless communication and RF systems, including:

  • 6G Wireless Communication Systems
  • Near-field Wireless Communications and Sensing
  • 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.

Overview

Dr. Oluyomi Simpson received his PhD in Communications and Electronics Engineering from the University of Hertfordshire (UH), Hatfield, UK. His doctoral research focused on cognitive and cooperative wireless communications. Dr. Simpson is an Associate Professor of Communications Systems and Electronics and the Head of Electrical and Electronic Engineering, the academic lead of the Communications Lab, and a key researcher in the Wireless Communication and RF Systems Research Lab within the School of Physics, Engineering and Computer Science (SPECS) at UH. He has authored over 50 publications in peer-reviewed journals and conferences and has contributed to edited research books.

Dr. Simpson, a senior member of IEEE,  currently serves as an Associate Editor for IEEE Communications Letters. His editorial contributions include serving as a Topic Editor for Machine Learning in Communication Systems and Networks. He was also the Lead Guest Editor of the special issue Cognitive and AI-enabled Wireless and Mobile Communications, published in IET Communications, which highlights cutting-edge research at the intersection of artificial intelligence and wireless technologies. He is the editor and author of the scholarly book series Machine Learning in Communication Systems and Networks, which explores the integration of machine learning techniques into modern communication systems. Further demonstrating his engagement with forward-looking technologies, Dr. Simpson is currently editing a forthcoming special topic titled Energy Harvesting and Power Transfer for Communications and Networks. He is also the inventor of a patented technology titled RFID Tag for Sample Rack.

His research interests and technical expertise lie in wireless communication and RF systems, including 6G wireless communication systems, physical layer security, machine learning in communications, cognitive radio systems, cooperative and relay networks, RFID technologies and applications, and RF energy harvesting communications. Dr. Simpson’s research embraces an innovative, interdisciplinary focus. He has led, supervised, and contributed to projects that enable the effective adoption of wireless communication algorithms, RF techniques, and sensor fusion in telecommunications, electronics, instrumentation, and the manufacturing industry. His research has been funded by government and industry bodies including UKRI-Innovate UK, Research England, European Regional Development Fund (ERDF), Royal Society, and Niger Delta Development Commission (NDDC).

Teaching specialisms

Mobile Communication Systems

Satellite and Terrestrial Communication Systems

Telecommunication Systems

Electronic Communication System

Digital Design and Embedded Systems

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