Muhammad Bakr Abdelghany
University of Sannio, Khalifa University of Science and Technology
Papers
2
Total Citations
30
H-Index
2
About
Muhammad Bakr Abdelghany is an emerging leader in autonomous aerial robotics, specializing in the control and optimization of unmanned aerial vehicle (UAV) systems. His research focuses on developing advanced, computationally efficient control strategies for quadrotors and drones, particularly through heuristic optimization and fractional-order control. In his highly cited 2022 work, "Benchmarking Tracking Autopilots for Quadrotor Aerial Robotic System Using Heuristic Nonlinear Controllers" (19 citations), Abdelghany systematically compared global control performance of navigation and hold autopilots, demonstrating how heuristic algorithms can effectively tune controller gains for highly nonlinear systems. His 2024 paper, "Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems" (11 citations), addresses the critical challenge of balancing control precision with operational constraints, advancing PID-based strategies for real-world drone deliveries. By bridging theoretical control design with practical implementation, Abdelghany’s work directly impacts the efficiency and reliability of autonomous flight, making him a notable contributor to the field of aerial robotics. His research is particularly valuable for students and engineers seeking computationally tractable solutions for complex UAV control problems.
Research Focus
Key Achievements
Top Papers
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- 2