Evan Welbourne
Ph.D. Candidate
Computer Science & Engineering
University of Washington

Paul G. Allen Center, Room 490
Seattle, WA 98195-2350
firstname -at- cs.washington.edu

Evan Welbourne
   I’m a graduate student in Computer Science & Engineering at the University of Washington. My primary research interests are at the intersection of sensor systems, data management and HCI. Specifically, I design tools and data management infrastructure to support users in understanding and interacting with context-aware computing systems. My research is also strongly oriented toward user studies with web-based, mobile and sensor research platforms. A side interest has been in techniques for privacy protection in context-aware applications.

   I have a B.Sc. in Computer Science and Mathematics from the University of Toronto. and an M.S. in Computer Science & Engineering from the University of Washington. I’ve worked for both Intel Research and Microsoft Research and I’m currently the lead graduate student on the RFID Ecosystem project. I’m advised by Prof. Magdalena Balazinska and Prof. Gaetano Borriello.
News & Recent Work
UW CSE Winter '10: I'm graduating this year and currently on the job market!
Please see my application materials: Research Statement, CV
Also: An Executive Summary in 30, 60 and 100 words
RFID Event Verification Interface Autumn '09: I'm working on a web-based tool that allows end-users to understand and verify the behavior of complex RFID events. This tool could be used to reduce software tuning and deployment costs in emerging real-time location systems for domains like hospitals. Update: Our Pervasive 2010 paper on this work has been accepted!
ABA 7/09: I was recently a panelist speaking on RFID and privacy at the mid-year meeting of the American Bar Association's Committee on Technology in the Practice and Workplace.
MobiSys 2009 6/09: MobiSys 2009 in Krakow, Poland! I presented our paper "Longitudinal Study of a Building Scale RFID Ecosystem." This work summarizes and analyzes measurements from a long term study in the RFID Ecosystem.