Neal Patwari

Papers

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About

Neal Patwari is a leading researcher in wireless systems, sensor networks, and signal processing, with a particular focus on radio-frequency (RF) sensing and device-free localization. His major contributions include pioneering work in using RF tomography to track people and objects without requiring them to carry any electronic device, fundamentally advancing the field of through-wall and indoor human sensing. Patwari has also made significant strides in secure communications, developing methods to exploit physical-layer properties of wireless channels for authentication and key generation. His research on collision prediction using ultra-wideband (UWB) range measurements, as demonstrated in his 2020 works, addresses critical safety challenges in autonomous multi-agent systems by enabling mobile agents to anticipate and avoid collisions through pairwise ranging. With over 10,000 citations to his work, Patwari’s impact is substantial, and he has been recognized with multiple best paper awards, including the 2017 IEEE Signal Processing Society Best Paper Award. His innovative approaches continue to shape how wireless signals are used for sensing, security, and autonomous coordination.