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X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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TZID:Asia/Hong_Kong
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DTSTART:20240101T000000
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DTSTART;TZID=Asia/Hong_Kong:20251105T140000
DTEND;TZID=Asia/Hong_Kong:20251105T150000
DTSTAMP:20260510T132850
CREATED:20251030T075345Z
LAST-MODIFIED:20251031T044737Z
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SUMMARY:Seminar on Seeing Beyond Vision: RF-Based Perception for Robust and Intelligent Sensing
DESCRIPTION:Abstract\nPerception and understanding of the physical world are fundamental to a wide range of applications\, from autonomous systems to smart healthcare and human-computer interaction. However\, traditional vision-based sensing (e.g.\, cameras and LiDAR) struggles in adverse weather conditions and occlusions. In this talk\, I will discuss how radio frequency (RF) signals provide a powerful alternative by penetrating visual barriers while maintaining high-resolution imaging capabilities. I will present our latest research on RF-based perception systems\, including high-resolution 3D RF imaging and RF-based SLAM for large-scale mapping. Our work leverages advanced signal processing and machine learning to bridge the gap between RF perception and optical sensing. I will conclude with a discussion on the future of RF-based sensing in autonomous vehicles\, smart healthcare\, and cyber-physical systems. \nSpeaker\nProf. Mingmin ZHAO\nAssistant Professor\,\nDepartment of Computer and Information Science\,\nUniversity of Pennsylvania \nSpeaker’s Biography\nMingmin ZHAO is an Assistant Professor in the Department of Computer and Information Science at the University of Pennsylvania\, where he leads the Wireless\, Acoustic\, Vision & Electronics for Sensing (WAVES) Lab. His research focuses on novel sensing modalities that leverage radio frequency (RF) signals\, AI\, and machine learning to enable robust perception in challenging environments. He is a recipient of the ACM SIGMOBILE Doctoral Dissertation Award Runner-up\, the ACM SIGMOBILE Research Highlights\, the CACM Research Highlights\, the Baidu Fellowship\, and the Yunfan Award for Rising Stars in AI. His research on contactless health monitoring has been adopted by the industry and deployed in major hospitals and patients’ homes across the United States. He received his Ph.D. from the Electrical Engineering and Computer Science Department at MIT in 2021\, and his B.S. in Computer Science from Peking University in 2015. \nOrganiser\nProf. Edith C. H. NGAI\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong
URL:https://ece.hku.hk/events/20251105-1/
LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong
CATEGORIES:Highlights,Seminar
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