Curriculum Vitae Ryan Matthew Farrell Email: farrell@icsi.berkeley.edu Webpage: http://www.icsi.berkeley.edu/~farrell Phone: 650-380-1184 *Personal Information* Current Position Postdoctoral Fellow International Computer Science Institute (ICSI), University of California, Berkeley, CA Education University of Maryland - College Park, MD Ph.D. in Computer Science, May 2011, 3.8 GPA Advisor: Professor Larry S. Davis "Learning Visual Patterns: Imposing Order on Objects, Trajectories and Networks" M.S. in Computer Science, December 2006 Advisor: Professor Larry S. Davis University of California - Berkeley, CA B.S. in Electrical Engineering and Computer Science, August 2001 Employment 2010 (Summer) Postdoctoral Fellow (under Professor Trevor Darrell) International Computer Science Institute (UC Berkeley) 2006-2011 Graduate Research Assistant (under Professor Larry Davis) University of Maryland, College Park 2008-present Research Intern Summer/Part-time Video Research Group, Streamsage / Comcast 2006-2008 Research Intern/Temp on Call Summer/Part-time Johns Hopkins University Applied Physics Lab (APL) 2005 (Summer) Summer Intern Army Research Lab (ARL) 2004-2006 Graduate Teaching Assistant Dept. of Computer Science, University of Maryland, College Park 2001-2004 Software Engineer Raytheon Systems Company 2000 (Summer) Undergraduate Researcher University of California, Berkeley 95-97 (Summers) Software Engineer Silicon Graphics, Inc. (SGI) *Research and Scholarly Activities* Publications (Book Chapters) Evelyne Tzoukermann, Geetu Ambwani, Amit Bagga, Leslie Chipman, Tony Davis, Ryan Farrell, David Houghton, Oliver Jojic, Jan Neumann, Robert Rubino, Bageshree Shevade, and Hongzhong Zhou, "Semantic Multimedia Extraction using Audio and Video" in Multimedia Information Extraction, edited by Mark T. Maybury, Wiley, forthcoming. Publications (in refereed Journals, Conferences and Workshops) Ryan Farrell, Om Oza, Ning Zhang, Vlad Morariu, Trevor Darrell, Larry S. Davis. "Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance", International Conference on Computer Vision (ICCV), accepted (oral, only about 4% acceptance). Ryan Farrell, Roberto Garcia, Dennis Lucarelli, Andreas Terzis, I-Jeng Wang, Target Localization in Camera Wireless Networks", Pervasive and Mobile Computing, April 2009. Ryan Farrell and Larry S. Davis, Decentralized Discovery of Camera Network Topology", International Conference on Distributed Smart Cameras (ICDSC), September 2008. Dennis Lucarelli, Anshu Saksena, Ryan Farrell, I-Jeng Wang, Distributed Inference for Network Localization using Radio Interferometric Ranging", European Conference on Wireless Sensor Networks (EWSN), January-February 2008. Ani Kembhavi, Ryan Farrell, David Jacobs, Ramani Duraiswami, Larry S. Davis, Tracking Down Under: Following the Satin Bowerbird", Workshop on Applications of Computer Vision (WACV), January 2008. Ryan Farrell, Roberto Garcia, Dennis Lucarelli, Andreas Terzis, I-Jeng Wang, Localization in Multi-Modal Sensor Networks", International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), December 2007. Best Paper Award. Ryan Farrell, David Doermann, Larry S. Davis, \Learning Higher-order Transition Models in Medium-scale Camera Networks", ICCV Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras (OMNIVIS), October 2007. Scott R. Klemmer, Mark Newman, Ryan Farrell, Mark Bilezikjian, James Landay, The Designers' Outpost: A Tangible Interface for Collaborative Web Site Design", User Interface Software and Technology (UIST)), 2001. Publications (unrefereed) Ryan Farrell, \Ad-Hoc Sensor Localization in Active Camera Networks", Scholarly Paper submitted in fulfillment of M.S. requirements, December 2006. Awards Best Paper Award, International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2007. For paper: \Localization in Multi-Modal Sensor Networks," by Ryan Farrell, Roberto Garcia, Dennis Lucarelli, Andreas Terzis, I-Jeng Wang. *Teaching* Graduate Teaching Assistant Spring 2006 CMSC 132: Object Oriented Programming II (Java) Fall 2005 CMSC 426: Image Processing (Computer Vision) Fall 2005 CMSC 131H: Object Oriented Programming I (Java) Spring 2005 CMSC 131: Object Oriented Programming I (Java) Winter 2005 CMSC 298P: Object Oriented Programming I for C++ Programmers Fall 2004 CMSC 131: Object Oriented Programming I (Java) *Service* Professional Co-Chair, First Workshop on Fine-Grained Visual Categorization (FGVC), 2011. Website Co-chair, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, 2012. PC Member, International Conference on Computer Vision (ICCV), 2011. PC Member, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, 2011. PC Member, European Conference on Computer Vision (ECCV), 2010. Reviewer, International Journal of Computer Vision (IJCV), 2010. Campus (Department, College and University) Graduate Representative, Education Committee, Department of Computer Science, University of Maryland, College Park, 2009-2010, 2010-2011. Committee Chair, Campus Student Technology Fee Advisory Committee (CSTFAC), University of Maryland, 2009-2010 (Vice-Chair 2008-2009). Representative, Campus Student Technology Fee Advisory Committee (CSTFAC), College of Math and Physical Sciences, University of Maryland, 2008-2009, 2009-2010.