Mohammed El Hanbaly

Khalifa University of Science and Technology

Papers

Total Citations

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About

Mohammed El Hanbaly is a rising researcher in the field of underwater robotics, with a focus on autonomous navigation, state estimation, and bio-inspired robotic systems. His work addresses the critical challenge of reliable positioning for Autonomous Underwater Vehicles (AUVs), where GPS signals are unavailable. In his highly cited 2024 paper, "Inverse Dynamics Modeling as a State Estimation Aid for Underwater Robots Navigation," he proposes a novel approach that leverages inverse dynamics to enhance navigation accuracy, reducing reliance on expensive sensors like Doppler velocity logs. This work has already garnered 6 citations, signaling its early impact on the field. El Hanbaly also contributed to the development of the HSURF multi-platform robotic system, demonstrating wireless teleoperation of artificial fish for complex path monitoring and inspection in a 2023 study. His research bridges theoretical modeling with practical applications in marine exploration and environmental monitoring. By combining inverse dynamics with bio-inspired design, El Hanbaly is helping to make underwater robots more autonomous, cost-effective, and capable of operating in challenging environments. His work is particularly relevant for students and researchers interested in state estimation, control systems, and the next generation of autonomous underwater vehicles.