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Finalists Unveiled for Sixth Annual RFID Journal Awards
The winners will be revealed next month at RFID Journal LIVE! 2012, for Best Implementation, Most Innovative Use, Best Use to Enhance a Product or Service, Best in Show, Special Achievement and the Green Award, as well as a new award for Best RFID Thesis.
Special Achievement awards are given to individuals who have contributed to the advancement of the RFID industry. This year's finalists are:
• Bill Hardgrave, the dean of Auburn University's College of Business, and the founder of the University of Arkansas' RFID Research Center, for his pioneering research on the real-world impact that RFID can have on retailing
• Larry Arnstein, Impinj's VP of business development, Ken Traub, a consultant for GS1 US, and Gena Morgan, GS1 US' program manager, for their work on the GS1 Tag Application, Identification and Serialization (TAIS) subcommittee, which was tasked with creating serialization standards that would control the behavior of all stakeholders in order to eliminate the risk posed by the mere possibility of the creation of duplicate serial numbers (see Chipmakers Seek Industry-wide Serialization Schema)
• Ian Robertson, EPCglobal's former industry development director, and the author of Improving Supply Chains Using RFID & Standards, for his work to increase the understanding of RFID's business benefits and the visibility it creates
This year, RFID Journal introduced a new award for the Best RFID Thesis, recognizing students performing outstanding work in the academic field (see RFID Journal Issues Call for Awards Submissions, Introduces 'Best RFID Thesis'). The finalists for 2012 are:
• Farhan Manzoor, of the National University of Ireland's University College Cork, for his thesis, "Do You Have Green Lights to Go?"
• Cecilia Occhiuzzi, of the University of Roma Tor Vergata, for her thesis, "Wearable and Implantable RFID Technology for Pervasive Healthcare: Human Identification and Sensing"
• Qudoos Yousuf, of Leeds Metropolitan University (now known as Leeds Beckett University), for his thesis, "RFID Tag Location and Tag Anti-Collision Using Spread Spectrum Technique"
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