Muhammad Toaha Raza Khan

Papers

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About

Muhammad Toaha Raza Khan is a leading researcher in autonomous systems, specializing in unmanned aerial vehicle (UAV) path planning, control, and the application of reinforcement and deep learning algorithms. His work addresses critical challenges in enabling UAVs to operate autonomously in complex environments, from security surveillance and military operations to commercial package delivery. Khan’s most-cited paper, “Aspects of unmanned aerial vehicles path planning: Overview and applications” (2021, 60 citations), provides a comprehensive survey that has become a foundational reference for researchers seeking to understand the state of the art in UAV navigation. He further advanced the field with “Evaluation of Reinforcement and Deep Learning Algorithms in Controlling Unmanned Aerial Vehicles” (2021, 17 citations), where he systematically assessed how modern AI techniques can enhance quadrotor autonomy for both civilian and military applications. By bridging the gap between theoretical algorithms and practical UAV control, Khan’s contributions are shaping the next generation of intelligent, self-piloting drones. His work is essential reading for students and engineers aiming to push the boundaries of autonomous flight.