IBRAHIM EKE

Ibrahim Eke serves as an Associate Professor in the Department of Electrical and Electronic Engineering within the Faculty of Engineering and Natural Sciences. His academic work centers on advancing power system stability and optimization through innovative computational methods, with primary affiliations spanning electrical engineering research and education.

Professor Eke's research spans critical areas of electrical power engineering including economic load dispatch, load frequency control, voltage stability, and renewable energy integration. He specializes in developing heuristic optimization algorithms such as Electric Fish Optimization, Chaotic Particle Swarm, and Vortex Search to solve complex power system problems involving time delays, multi-area networks, and renewable integration challenges. His methodology consistently bridges theoretical algorithm development with practical power grid applications.

Analysis of his 15 most recent publications (2020-2024) reveals three dominant research trajectories: (1) Mitigation of communication time delays in load frequency control using fractional-order PID controllers and neural networks, (2) Development of hybrid optimization techniques (Taguchi-Vortex, Chaotic PSO) for combined heat-power economic dispatch, and (3) Integration of electric vehicles and energy storage systems into frequency regulation frameworks. His work demonstrates increasing focus on renewable-heavy grid stability amid evolving power system architectures.