Yousif Ahmed Al-Wajih

King Fahd University of Petroleum and Minerals

Papers

Total Citations

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About

Yousif Ahmed Al-Wajih is a researcher at the forefront of cybersecurity and control systems, with a focus on safeguarding bilateral teleoperation systems (BTOS)—remote-controlled plants where a human operator, master manipulator, and slave manipulator interact bidirectionally over communication networks. His major contribution lies in developing a deep learning-based attack detector specifically designed for BTOS, addressing critical vulnerabilities in these interconnected systems. This work, published in 2022 and garnering 4 citations, pioneers the integration of artificial intelligence to detect malicious intrusions that could compromise remote operations, such as in medical robotics or hazardous environment control. By leveraging deep learning, Al-Wajih enhances the resilience of teleoperation networks against cyber threats, a growing concern as automation expands. His research bridges the gap between control theory and cybersecurity, offering practical solutions for real-world applications. While still early in his career, his targeted approach to securing bilateral teleoperation systems marks him as an emerging authority in cyber-physical systems, with potential to influence safer, more robust remote operation technologies across industries.