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About

Salman Yussof is a robotics and cybersecurity researcher whose work spans autonomous systems, human-robot interaction, and secure smart environments. His most influential paper, "Algorithm for Robot Writing Using Character Segmentation" (2005, 18 citations), introduced a flexible algorithm enabling robots to perform the complex task of handwriting—a significant step toward making robots more human-like in dexterity and precision. In humanitarian robotics, Yussof contributed to "The Development of an Autonomous Personal Mobile Robot System for Land Mines Detection on Uneven Terrain" (2014, 6 citations), addressing the critical need for safer, automated mine clearance in over 68 affected countries. More recently, he has advanced cybersecurity in next-generation networks with "Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks" (2023, 8 citations), integrating blockchain for robust authentication. His work "Using Drones and Robots for Social Distancing: Literature Review, Challenges and Issues" (2024, 4 citations) reflects timely applications of robotics in public health. Yussof’s research demonstrates a commitment to solving real-world problems—from landmine detection to secure smart homes—bridging mechanical engineering, AI, and network security.