Assist. Prof. Dr. Mehmet Karahan | Electronics Engineering | Research Excellence Award

Assist. Prof. Dr. Mehmet Karahan is a researcher and academic in electrical and electronics engineering whose work spans advanced control systems, unmanned aerial vehicles, robotics, artificial intelligence, machine learning, computer vision, and antenna design. His research focuses on nonlinear modeling, robust and adaptive control, UAV stability analysis, trajectory tracking, reinforcement learning-based control, microstrip antenna structures, intelligent sensing, and autonomous systems. He has authored numerous peer-reviewed journal articles indexed in SCI, E-SCI, Scopus, and other international databases, contributing original findings on quadrotor dynamics, backstepping and sliding-mode controllers, noise-resilient system modeling, optimized PID frameworks, and high-efficiency antenna designs. His conference contributions cover a wide spectrum of topics including UAV robotics, radar systems, intelligent image processing, magnetically suspended systems, inverted pendulum stabilization, and off-policy reinforcement learning for robotic platforms. Assist. Prof. Dr.Karahan is an active reviewer for many leading international journals and conferences and is affiliated with several professional societies, including IEEE organizations tied to robotics, aerospace systems, control engineering, and young professionals. In addition to his academic accomplishments, he has supervised graduate and undergraduate research in robotics, fault-tolerant systems, antenna design, and autonomous vehicles, supporting emerging researchers in experimental and theoretical aspects of engineering systems. His broader technical interests include embedded systems, optimization algorithms, signal processing, and interdisciplinary approaches that bridge robotics with intelligent automation. Beyond scholarly research, he also develops mobile games, reflecting a creative engagement with software development and user-focused digital design. Overall, his profile represents an integration of rigorous scientific research, engineering innovation, and active contribution to the global academic community.

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