Yash Dhawan

Thapar Institute of Engineering & Technology, IFTM University

Papers

Total Citations

H-Index

About

Yash Dhawan’s research lies at the intersection of intelligent transportation systems and human-robot interaction, with a focus on making autonomous technologies safer and more accessible. In his highly cited work “CLEAR: An Efficient Traffic Sign Recognition Technique for Cyber-Physical Transportation Systems,” Dhawan addresses a critical challenge for self-driving vehicles: accurately interpreting traffic signs in real time. This contribution is foundational for building trust in autonomous systems, as reliable sign recognition is essential for safe navigation in mixed-traffic environments. His second major work, “Gesture Controlled Robot,” demonstrates a commitment to inclusive technology, developing a wireless, gesture-based control system that empowers physically challenged individuals to operate robots intuitively. By using a simple accelerometer to translate hand movements into commands, Dhawan’s design reduces barriers to assistive robotics. With both papers garnering 2 citations each, his work is gaining traction among researchers exploring cyber-physical systems and human-centered automation. Dhawan’s dual focus on technical efficiency and social impact positions him as a thoughtful contributor to the future of autonomous and assistive technologies.