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SUMMARY:Battery-Free\, Low-Cost Sensing with RFIDs - Ju Wang\, University 
 of Waterloo
DTSTART:20200618T140000Z
DTEND:20200618T150000Z
UID:TALK149551@talks.cam.ac.uk
CONTACT:Srinivasan Keshav
DESCRIPTION:Passive radio frequency identification (RFID) tags are ubiquit
 ous today due to their low cost (a few cents)\, relatively long communicat
 ion range (∼7-11 m)\, ease of deployment\, lack of battery\, and small f
 orm factor. Hence\, they are an attractive foundation for environmental se
 nsing. Although RFID-based sensors have been studied in the research liter
 ature and are also available commercially\, manufacturing them has been a 
 technically-challenging task that is typically undertaken only by experien
 ced researchers.\n \nIn this talk\, I will first show you how even hobbyis
 ts can transform commodity RFID tags into sensors by physically altering (
 ‘hacking’) them using COTS sensors\, a pair of scissors\, and clear ad
 hesive tape. Importantly\, this requires no change to commercial RFID read
 ers. Secondly\, I will present a new legacy-compatible tag reading protoco
 l called Differential Minimum Response Threshold (DMRT) that is robust to 
 the changes in an RF environment. Thirdly\, I will show you various RFID-b
 ased sensing applications using our approach\, e.g.\, light intensity sens
 ing\, temperature sensing\, soil moisture sensing\, finger input sensing\,
  etc.  Lastly\, I will discuss why many novel RFID-based sensing systems a
 re not widely used in practice\, and also present some insights into desig
 ning robust RFID systems that are suitable for use in the real world.\n \n
 Bio: Ju Wang is a senior researcher at Samsung AI Center\, Montreal\, sinc
 e 2020. Before joining Samsung\, he did two years postdoc at the Universit
 y of Waterloo\, working with Prof. Srinivasan Keshav and Prof. Omid Abari.
  He received his Ph.D. in Computer Science from Northwest University\, Chi
 na\, in 2017. His research interests are Wireless Communication Systems/Ne
 tworks\, Internet of Things (IoT)\, and Artificial Intelligence.\n 
LOCATION:https://meetingsemea10.webex.com/meet/sk818 
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