Muhammad Faizan Khan

Papers

Total Citations

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About

Muhammad Faizan Khan is a researcher at the forefront of intelligent sensing and disaster response technologies. His work centers on the integration of edge computing, radar signal processing, and artificial intelligence to enhance situational awareness in critical environments. Khan’s most cited paper, “Towards Debris Information Analysis and Abstraction for Wi-Fi Radar Edge in Collapsed Structures” (2019, 5 citations), introduces a novel framework that leverages Wi-Fi radar and edge analytics to detect and abstract debris information in post-disaster scenarios. This contribution addresses a pressing gap in rescue operations, where traditional sensors and robotic tools often fail due to environmental constraints. By enabling real-time, on-site data processing, Khan’s approach improves the speed and accuracy of locating survivors in collapsed structures. His research has implications for emergency response, structural health monitoring, and smart infrastructure. Though early in his career, Khan’s work signals a promising trajectory in applying edge intelligence to life-saving technologies, earning recognition for its practical relevance and interdisciplinary scope.