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About

Narinder Verma is an emerging researcher specializing in the intersection of cybersecurity, robotics, and machine learning, with a particular focus on securing robotic cyber-physical systems (CPS). His work addresses one of the most pressing challenges in modern automation: as robotic systems become increasingly interconnected across critical sectors such as healthcare, transportation, and manufacturing, they simultaneously become more susceptible to sophisticated cyber threats. Verma's most influential contribution, a 2025 systematic review on the cybersecurity of robotic systems, has already garnered 7 citations, making it a notable reference in this rapidly evolving field. Complementing this, his machine learning-based cybersecurity framework for robotic systems and his comprehensive review of ML-driven security approaches for robotic CPS demonstrate a consistent effort to bridge theoretical analysis with practical, deployable solutions. By cataloguing vulnerabilities, trends, threats, and attack vectors while proposing structured defensive frameworks, Verma is helping to build the foundational literature that future engineers and security professionals will rely upon. Though early in his research career, his focused and prolific output signals a researcher poised to make meaningful, lasting contributions to the security of autonomous systems.