Turki Bin Mohaya

King Fahd University of Petroleum and Minerals

Papers

Total Citations

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About

Dr. Turki Bin Mohaya is a researcher at the forefront of cybersecurity and teleoperation systems, with a focus on safeguarding remote-controlled technologies. His work centers on integrating deep learning into bilateral teleoperation systems (BTOS)—complex networks where a human operator controls a slave manipulator from a distance, with feedback transmitted in both directions. His most cited paper, "Deep Learning-based Attack Detector for Bilateral Teleoperation Systems" (2022), addresses critical vulnerabilities in these systems by proposing an intelligent detection mechanism against cyber threats. With 4 citations, this contribution underscores the growing importance of securing teleoperation in applications like surgery, manufacturing, and hazardous environment exploration. Dr. Bin Mohaya’s research bridges the gap between artificial intelligence and control systems, offering robust solutions to enhance safety and reliability. His work is particularly notable for its practical implications, as teleoperation becomes increasingly integral to modern automation. By advancing attack detection methods, he is helping to build trust in remote operations, making him a key voice in the evolving field of cyber-physical security.