Dr Mobayode Akinsolu

Job Role
Senior Lecturer in Electronic and Communication Engineering
C36b (Research Building)


Since 2019, Mobayode has held a full-time lectureship position at Wrexham Glyndŵr University, after being a sessional lecturer at the university at various times from 2017 to 2019. He received his MSc. (with Distinction) in Electrical and Electronic Engineering from the University of Bradford in 2014, after his undergraduate studies (apprenticeship/industrial training in power systems and electrical Machines, and baccalaureate in Electrical Engineering) and compulsory national service in Nigeria.

In 2016, he received a Ph.D. studentship in recognition of a joint project between Wrexham Glyndŵr University and the University of Birmingham. His PhD project focused on applying artificial intelligence techniques to expedite the design of electromagnetic devices. He completed his cotutelle Ph.D. (Thesis: Efficient Surrogate Model-Assisted Evolutionary Algorithm for Electromagnetic Design Automation with Applications) in 2019 from the collaboration between Wrexham Glyndŵr University and the University of Chester with a commendation for his publications (including a book chapter and over 20 papers) relating to the Ph.D. work.

Before his Ph.D. studentship award, he was fully engaged as a research fellow (industrial attaché) and a visiting researcher at the Centre for Satellite Technology Development, National Space Research and Development Agency, Nigeria, and the RFID Research Centre, African University of Science and Technology, Nigeria, respectively.

Mobayode is a Christian who relishes and participates in community events and festivals in Wrexham and its environs, as a member of Gateway Church. He loves travelling, reading, and listening to music. In his spare time, he engages in creative writing and moderately plays a few musical instruments (piano, acoustic guitar, and descant recorder).



  1. BEng. (Hons.) in Electrical Engineering.
  2. MSc (with Distinction) in Electrical and Electronic Engineering.
  3. PhD (with Commendation) in Applied Artificial Intelligence (Electromagnetic Design Automation).
  4. PG Certificate (with Distinction) in Learning and Teaching in Higher Education.

Membership of Professional Bodies and Professional Qualifications

  1. Fellow, Higher Education Academy (HEA).
  2. Senior Member, Institute of Electrical and Electronics Engineers (IEEE).
  3. Member, The Institution of Engineering and Technology (IET).
  4. Member, The Nigerian Society of Engineers (NSE).
  5. Registered Electrical Engineer, The Council for the Regulation of Engineering in Nigeria (COREN).
  6. Chartered Engineer (CEng) – Engineering Council




My current and prospective research interests include (but are not limited to):

  1. Antenna Design and Optimisation
  2. Applied Artificial Intelligence and Machine Learning
  3. Radio Frequency (RF) and Electromagnetic (EM) Design Automation
  4. Data Analytics and Mathematical Modelling
  5. Digital and Emerging Technologies



  1. Engineering Systems Modelling and Simulations (UG and PG)
  2. Instrumentation and Control (UG)
  3. Industry 4.0 (UG)
  4. Machine Learning (PG)
  5. UAS Sensor Technology (PG)


Selected Publications

Book Chapter

  1. M. O. Akinsolu, P. Excell and B. Liu, “Surrogate Model-assisted Global Optimization for Antenna Design,” in Surrogate Modeling for High-Frequency Design Recent Advances, A. Pietrenko-Dąbrowska, and S. Koziel, Eds., World Scientific, In-press, 2021.


  1. A. O. Sangodoyin, , M. O. Akinsolu et al., "Detection and Classification of DDoS Flooding Attacks on Software-Defined Networks: A Case Study for the Application of Machine Learning," in IEEE Access, vol. 9, pp. 122495-122508, 2021.
  2. B. Liu, M. O. Akinsolu et al., "An Efficient Method for Complex Antenna Design Based on a Self Adaptive Surrogate Model-Assisted Optimization Technique," in IEEE Transactions on Antennas and Propagation, vol. 69, no. 4, pp. 2302-2315, April 2021.
  3. M. O. Akinsolu, B. Liu et al., "Efficient Design Optimization of High-Performance MEMS Based on a Surrogate-Assisted Self-Adaptive Differential Evolution," in IEEE Access, vol. 8, pp. 80256-80268, 2020.
  4. M. O. Akinsolu, B. Liu et al., "A Parallel Surrogate Model Assisted Evolutionary Algorithm for Electromagnetic Design Optimization," in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, no. 2, pp. 93-105, April 2019.


  1. M. O. Akinsolu et al., "Design Considerations and Data Communication Architecture for National Animal Identification and Traceability System in Nigeria," 2021 IST-Africa Conference (IST-Africa), 2021, pp. 1-10.
  2. Liu, M. O. Akinsolu and Q. Zhang, "Hybrid Single and Multiobjective optimization for Engineering Design without Exact Specifications," 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1-7.
  3. M. O. Akinsolu et al., "Machine Learning-assisted Antenna Design optimization: A Review and the State-of-the-art," 2020 14th European Conference on Antennas and Propagation (EuCAP), 2020, pp. 1-5.

More publications at:

Google Scholar Page or GuildHE Research Repositories