Muhammad Nawaz Khan

Papers

Total Citations

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About

Muhammad Nawaz Khan is a rising researcher at the intersection of autonomous systems and cybersecurity, with a primary focus on the vulnerabilities of LiDAR-based perception in self-driving vehicles. His most cited work, "LiDAR point cloud transmission: Adversarial perspectives of spoofing attacks in autonomous driving" (2025), has already garnered 2 citations, signaling early impact in a critical and rapidly evolving field. Khan’s major contribution lies in exposing how adversarial spoofing attacks can manipulate LiDAR point cloud data during transmission, threatening the reliability of autonomous driving systems. By framing these vulnerabilities from an adversarial perspective, he provides a foundational framework for developing more robust sensor fusion and security protocols. His research bridges the gap between physical-world sensing and cyber threats, offering practical insights for engineers and policymakers. Khan’s work is particularly notable for its timeliness, addressing emerging challenges as autonomous vehicles become more integrated into daily life. For students and researchers, his studies serve as a compelling entry point into the security of cyber-physical systems, highlighting the urgent need for resilient AI-driven transportation.