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                2022年6月20日學修复術報告--Jie Xiong

                來源: hjc888黄金城 | 發表時間: 2022-06-18 | 瀏覽次數: 425

                報告題目Wireless Sensing in the Era of IoT: Theories, Applications and Platforms

                報告時間202262015:30-17:00

                人:Jie Xiong

                  點:計算機检讨學科樓327

                主辦單位:hjc888黄金城、軟件學院、網絡空間安全驭兽者學院

                 

                報告人簡介

                Jie Xiong is currently an Assistant Professor with the College of Information and Computer Sciences, University of Massachusetts Amherst. Jie Xiong received his Ph.D, M.S and B.Eng degrees from University College London, Duke University and Nanyang Technological University respectively. He was a recipient of Google European Doctoral Fellowship, British Computer Society Distinguished Dissertation Award Runner-Up, NSF Career Award and NIH R01 Award. His current research interests include wireless sensing, mobile health, smart IoT and cyber-physical systems. His work appeared at MobiCom, UbiComp, SenSys, CoNEXT, INFOCOM and NSDI. His work won MobiCom '21 Best Paper Award Runner-up, UbiComp '21 (IMWUT '20) Distinguished Paper Award, MobiCom 2020 Best Paper Honorable Mention, SenSys 2019 Best Paper Candidate, SenSys 2018 Best Poster and CoNEXT 2014 Best Paper Award.

                 

                報告內容

                Wireless technologies have achieved great success in data communication. In recent years, wireless signals are exploited for sensing, enabling exciting applications such as passive localization, contact-free gesture recognition, vital sign monitoring and even fine-grained material identification. Although promising progress has been achieved, the potential benefits of wireless sensing are still limited by several fundamental issues including unstable performance and small sensing range. In this talk, I introduce our recent research effort (i) on the theory side to model the process of wireless sensing to help people understand the underlying mechanisms behind the fundamental issues and propose novel solutions to address them, (ii) on the application side to enable promising new applications with wireless sensing and (iii) on the platform side to involve new sensing modalities into the ecosystem of wireless sensing.


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