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Radio Frequency Identification Technologies: A Workshop Summary
of the neighbor and neighborhood in postwar American suburbs, including the growing impacts of pervasive computing on everyday life.
CHRIS DIORIO is an associate professor of computer science and engineering at the University of Washington and is a cofounder of Impinj, Inc., Seattle, Washington. Dr. Diorio is the co-chair of the EPCglobal Hardware Action Group and has worked actively in the development of RFID standards. He has received several awards, including the University of Washington Distinguished Teaching Award in 2001, an ONR Young Investigator Award in 2001, an Alfred P. Sloan Foundation Research Fellowship in 2000, a Presidential Early Career Award in Science and Engineering (PECASE) in 1999, a Packard Foundation Fellowship in 1998, and the Electron Devices Society’s Paul Rappaport Award in 1996. He has worked as a senior staff engineer at TRW, Inc., as a senior staff scientist at American Systems Corp., and as a technical consultant at The Analytic Sciences Corp. He received his B.A. in physics from Occidental College in 1983 and his M.S. and Ph.D. in electrical engineering from California Institute of Technology (Caltech) in 1984 and 1997, respectively.
BILL SCHILIT is co-director of Intel Corporation’s Intel Research Seattle and is part of a small team chartered with defining and driving Intel’s ubiquitous computing agenda. Dr. Schilit’s research focuses on ubiquitous and proactive computing applications, with an emphasis on context-aware computing. His research is positioned at the intersection of networking and human-computer interaction. Prior to joining Intel, he managed the Personal and Mobile Computing Group at FX Palo Alto Laboratory, a Fuji Xerox company. Dr. Schilit also worked at AT&T Bell Laboratories and Xerox Palo Alto Research Center (PARC). At PARC, he championed the notion of location-aware computing, coined the term “context-aware computing,” and helped invent, design, and build the software and applications for the PARCTAB. He is associate editor-in-Chief of IEEE Computer, an area editor of IEEE Wireless Communications, and a member of the IEEE Computer Society and the Association for Computing Machinery.
STEVEN SHAFER is a senior researcher at Microsoft Corporation, working in the area of ubiquitous computing. He received his B.A. from the University of Florida in 1976 and his Ph.D. from Carnegie Mellon University (CMU) in 1983. He was then a faculty member at Carnegie Mellon until 1995. Dr. Shafer founded the Calibrated Imaging Laboratory, working on the modeling of color, highlights, texture, and lens and camera optics. He also worked on robot driving in the CMU Navigation Laboratory robot truck project. Dr. Shafer was a founder and later chair of the robotics doctoral program at Carnegie Mellon, and he helped establish the Human-Computer Interaction Institute. Dr. Shafer joined Microsoft in 1995, where he started the EasyLiving project to develop an architecture for building intelligent environments. His current work is in location awareness and radio frequency identification (RFID). He is past chair of the IEEE Pattern Analysis and Machine Intelligence Technical Committee, the primary scientific organization for computer vision, and an associate editor for the IEEE Pervasive Computing magazine, and he serves on the program committees of numerous recent conferences in pervasive and ubiquitous computing. Dr. Shafer is one of the Microsoft representatives at EPCglobal, an international RFID standards organization.
PAUL ZIPKIN is the T. Austin Finch, Sr., Professor at the Fuqua School of Business, Duke University. He received his Ph.D. from Yale University in 1977. His teaching, research, and consulting focus on how supply chains work and on how to make them work better, as well as on their strategic roles in the success or failure of companies in the global marketplace. Within this broad theme, Dr. Zipkin’s work is concerned with issues of inventory management in supplier-customer relations; the impact of new production and communications technologies on supply-chain performance; coping with product variety at both the operational and strategic levels; and