Biography: Dr. Mobayode O. Akinsolu is currently a Reader in Applied Artificial Intelligence and Electronic Engineering at Wrexham University, U.K. He also serves as a Visiting Scholar at Lead City University, Nigeria, and as an External Examiner at the Regional Maritime University, Ghana. His previous roles include serving as a Principal Investigator for a Data Study Group at The Alan Turing Institute, U.K., and holding research appointments at the Centre for Satellite Technology Development, National Space Research and Development Agency, Nigeria, and the RFID Research Centre (formerly hosted at the African University of Science and Technology), Nigeria. His research interests span antennas, applied artificial intelligence, machine-learning-assisted, simulation-driven optimisation, engineering management, and wireless communications. He is a Chartered Engineer, a Fellow of Advance HE, a Senior Member of IEEE, a Member of the IET, and a registered Electrical Engineer with COREN.

Title of Talk: Applied Machine Learning in Wireless Communications: From Intelligent Links to Automated Antenna Design

Synopsis of Talk: Machine learning (ML) has become a practical enabler for advanced wireless communication systems, supporting intelligent link adaptation, network optimisation, and accelerated radio frequency hardware design. This keynote examines the application of supervised, unsupervised, and reinforcement learning methods to real world wireless communication problems, including channel prediction, resource allocation, and interference management. The talk then connects these concepts to automated antenna design, demonstrating how ML assisted optimisation reduces the computational burden of full wave electromagnetic simulations and expedites high performance antenna synthesis.

Biography: TBA

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