Dr. Kayode Popoola's Profile Picture

Dr. Kayode Popoola

Lecturer in Embedded Systems

I am a highly motivated and experienced lecturer with a strong background in teaching and research, currently serving as a Lecturer in Embedded Systems in the Software Engineering team at the Dyson Institute of Engineering and Technology (DIET) since August 2024.

Prior to my current role at Dyson, I was a Lecturer in Computing & Digital Technologies at Global Banking School (GBS) from January 2023 to August 2024. My academic journey also includes significant experience as a Lecturer at Bayero University from January 2013 to December 2017, and as a Graduate Teaching Assistant (GTA) at the University of York from March 2018 to December 2021. In addition to my academic roles, I bring valuable non-academic expertise as a Design Analyst at Redcentric Plc. from May 2022 to January 2023, providing me with practical insights into real-world network deployments.

I obtained my Ph.D. in Electronic Engineering from the University of York in 2023. My doctoral thesis focused on Wireless Network Communication from High Altitude Platforms for Intelligent Transportation Systems (ITS). I also hold an M. Eng. in Electrical Engineering from Bayero University, Kano.

I am a Chartered IT Professional (CITP) with the British Computer Society (BCS), a Fellow of the Higher Education Academy (FHEA), and hold memberships with the Institution of Engineering and Technology (IET), Association for Computing Machinery (ACM), and the Institute of Analyst and Programmers (IAP).

My interest in the Dyson Institute stems from its unique, integrated approach to engineering education and practical application. The Institute's commitment to combining rigorous academic learning with hands-on, real-world project work deeply resonates with my own philosophy of fostering practical skills alongside theoretical knowledge. I am particularly drawn to the opportunity to contribute to a forward-thinking environment that nurtures innovation, problem-solving, and the development of highly capable engineers ready to tackle complex challenges.

Qualifications

  • PhD in Electronic Engineering
  • Master of Engineering (MEng) in Electrical & Electronic Engineering

Professional Affiliations

  • Senior Fellow of Higher Education Academy (SFHEA)
  • Chartered IT Professional (CITP)

Memberships

  • Fellow of the Higher Education Academy (UK)
  • Professional Member of the Institution of Engineering and Technology (IET)
  • Professional Member of the Institute of Electrical and Electronics Engineers (IEEE)

 

 

 

  • Advanced Programming
  • Machine Learning
  • Applied Machine Learning
  • Project Dissertation in Software Engineering

Research

My research expertise primarily lies at the intersection of wireless communication systems and machine learning, with a particular focus on optimising network performance, energy efficiency, and IoT network security in diverse environments. I have extensive experience in the modeling and simulation of wireless communication architectures, including high altitude platforms (HAPs), Internet of Things (IoT) deployments. I am deeply interested in developing resource-aware models for autonomous vehicles, leveraging advanced machine learning techniques, such as Deep Neural Networks (DNNs), for optimising communication protocols and enhancing service quality. My current research areas currently focus on advancements in 5G/6G wireless networks, particularly in areas related to intelligent resource management and robust security frameworks for connected devices.

Publications

  • K. Popoola, D. Grace, T. Clarke, M. Ahmed, and S. Nicholson, “Maximising Data Rate in HAP Assisted Cooperative Vehicular Networks with Optimised Relay Selection,” Telecommunication Systems, vol. 88, no. 3, p. 97, 2025.
  • O. Ahmed, D. Grace, and K. Popoola, “Towards a Resource-Aware K-Selection Model for Optimising V2X Communication in Autonomous Vehicles,” in Proc. VEHICULAR 2024: The Thirteenth International Conference on Advances in Vehicular Systems, Technologies and Applications, 2024.
  • K. Popoola, D. Grace, T. Clarke, and M. Ahmed, “Exploiting a high altitude platform (HAP) mmWave antenna array for rural vehicular communications: A coverage and capacity analysis,” SSRN 4356704, 2023.
  • Z. Gwoma, K. A. Popoola, S. Adamu, and M. Buhari, “A review of torque ripple minimisation strategies in switched reluctance machines,” International Journal of Science and Engineering Invention, vol. 10, no. 8, pp. 131–154, 2023.
  • K. Popoola, D. Grace, T. Clarke, and M. Ahmed, “An Iterative k-means++ and Ant Colony Clustering Scheme for Vehicular Networks,” in 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON), 2022, pp. 1–5.
  • L. A. Yusuf, K. Popoola, and H. Musa, “A review of energy consumption and minimisation strategies of machine tools in manufacturing process,” International Journal of Sustainable Engineering, vol. 14, no. 6, pp. 1826–1842, 2021.
  • K. Popoola, D. Grace, and T. Clarke, “Capacity and coverage analysis of high altitude platform (HAP) antenna arrays for rural vehicular broadband services,” in 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 2020, pp. 1–5.
  • K. Popoola, “Modelling and simulation of supercapacitor for energy storage applications,” ADBU Journal of Engineering Technology, vol. 7, 2018.
  • K. Popoola, “Reliability Assessment of 11kv Feeders - A Case Study,” in National Conference on Bridging the Gap Between Academia and Industry in Nigeria -- Refocusing the Engineering Discipline, Bayero University, Kano, Nigeria, 2014, pp. 303–323.