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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Atlanta, GA | Posted: April 22, 2019
Jackie Nemeth
School of Electrical and Computer Engineering
404-894-2906
Summary Sentence:
ECE Ph.D. student Cheng Qi won the Best Paper Award at the IEEE International Conference on RFID 2019.
Full Summary:
ECE Ph.D. student Cheng Qi won the Best Paper Award at the IEEE International Conference on RFID 2019.
Cheng QiCheng Qi won the Best Paper Award at the IEEE International Conference on RFID 2019. Held from April 2-4 in Phoenix, Arizona, IEEE RFID 2019 is the world’s premier science and engineering conference for RF identification and related technologies.
Qi is a Ph.D. student in the Georgia Tech School of Electrical and Computer Engineering (ECE) where he is advised by ECE Professor Gregory D. Durgin. Qi received this award with his co-authors—Durgin and Francesco Amato, a 2017 Georgia Tech ECE Ph.D. alumnus who is now at the University of Rome and who was also advised by Durgin. Three of the last four Best Paper Awards at the IEEE RFID conference have been presented to researchers from Durgin’s research team, known as The Propagation Group.
Qi’s paper, entitled “Breaking the Range Limit of RFID Localization: Phase-based Positioning with Tunneling Tags," presented a radically new way to do ultra-precise localization of a low-powered RFID tag. By using a Georgia Tech innovation—a quantum tunneling RFID tag—and a new algorithm to adjust for radio multiparty, Qi demonstrated centimeter-scale position location of a tag at tens of meters of range. The technique can work at hundreds-of-meters range and through walls as well.
Cutline: Cheng Qi (2nd from left) is the recipient of the IEEE RFID 2019 Best Paper Award. His coauthor, Francesco Amato, is pictured to the right of Qi.
