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The following award-winning faculty will instruct 2008-2009 courses for the Professional Master's Program in Computer Science & Engineering. Tom Anderson and Ratul Mahajan ~ Network Systems
Professor Tom Anderson's research concerns the practical issues in constructing robust, secure, and efficient computer systems: networks, peer-to-peer systems, operating systems cluster-based distributed systems, software engineering, system security, network file systems, computer and network switch architecture, and educational software. He is an ACM Fellow, he is a recent winner of the ACM SIGOPS Mark Weiser award, and he has co-authored fifteen award papers. He received his bachelor's degree in Philosophy from Harvard and earned his PhD in Computer Science at the University of Washington in 1991. 
Ratul Mahajan is a Researcher at Microsoft Research. His research interests include all aspects of networked systems, especially their architecture and design. He has worked on reverse-engineering the Internet, designing incentive-compatible protocols, practical models for optimizing wireless networks, and vehicular networks. He is a winner of the SIGCOMM best paper award, the William R. Bennett Prize, and Microsoft Research Graduate Fellowship. He obtained his Ph.D. from the University of Washington (2005) and B.Tech. from Indian Institute of Technology, Delhi (1999). Richard Ladner ~ Accessibility
Richard Ladner, Boeing Professor in Computer Science and Engineering, graduated from St. Mary's College of California with a B.S. in 1965 and received a Ph.D. in mathematics from the University of California, Berkeley in 1971, at which time he joined the faculty of the University of Washington. In addition to his appointment in the Department of Computer Science and Engineering, he is an Adjunct Professor in the Department of Electrical Engineering and in the Department of Linguistics. After many years of research in theoretical computer science he has turned his attention to accessibility technology research, especially technology for deaf, deaf-blind, hard-of-hearing, and blind people. He continues to work in design and analysis of algorithms, cache performance of algorithms, network algorithms for media-on-demand, data compression algorithms. He has continuing interests in automata based computational complexity theory and distributed computing. For additional detail on Richard Ladner's background and research interests go here. Larry Ruzzo ~ Computational Biology
Professor Walter L. Ruzzo received a B.S. in Mathematics from the California Institute of Technology in 1968, his Ph.D. in Computer Science from the University of California at Berkeley in 1978, and has been with the University of Washington since 1977. His is involved with computational biology research as part of the CSE department's Computational Molecular Biology Group, and is part of the interdisciplinary graduate program in Computational Molecular Biology. For additional detail on Larry Ruzzo's background and research interests go here. Dan Grossman ~ Programming Languages
University of Washington Department of Computer Science & Engineering Assistant Professor Dan Grossman received his Ph.D. in Computer Science in 2003 from Cornell and his Bachelor's degree in 1997 from Rice. His research lies in the area of programming languages, with a particular focus on the use of type systems in the context of practical languages. He has spent summer internships at Bell Labs and Microsoft Research. For additional detail on Dan Grossman's background and research interests go here. Anna Karlin ~ Complexity Theory
Anna Karlin, Professor in the University of Washington Department of Computer Science & Engineering, received her Ph.D. from Stanford University in 1987. Before coming to the University of Washington, she spent 5 years as a researcher at Digital Equipment Corporation's Systems Research Center. Her research is primarily in theoretical computer science: the design and analysis of algorithms, particularly probabilistic and online algorithms. Recently, she has been working at the interface between theory and other areas, such as economics and game theory, data mining, operating systems, networks,and distributed systems. For additional detail on Anna Karlin's background and research interests go here. Oren Etzioni ~
Oren Etzioni received his bachelor's degree in Computer Science from Harvard University in June 1986 where he was the first Harvard student to "major" in Computer Science. Etzioni received his Ph.D. from Carnegie Mellon University in January 1991, and joined the University of Washington's faculty in February 1991, where he is now a Professor of Computer Science. Etzioni received a National Young Investigator Award in 1993, and was selected as a AAAI Fellow a decade later. In 2007, he received the Robert S. Engelmore Memorial Award. He is the founder and director of the University of Washington's Turing Center. Etzioni is the author of over 100 technical papers in a wide range of conferences including AAAI, ACL, CIDR, COLING, EMNLP, FOCS, HLT, ICML, IJCAI, ISWC, IUI, KDD, KR, SIGIR, and WWW. He is a founder of three companies and a Venture Partner at the Madrona Venture Group. His work has been featured in the New York Times, Wall Street Journal, NPR, SCIENCE, The Economist, TIME Magazine, Business Week, Newsweek, Discover Magazine, Forbes Magazine, Wired, NBC Nightly News, and even Pravda. His current research interests include: fundemental problems in the study of intelligence, Web search, Machine Reading, and Machine Learning. For additional detail on Oren Etzioni's background and research interests go here. Dan Suciu ~ Database Management Systems
Dan Suciu is an associate professor in Computer Science at the University of Washington. Professor Suciu received his Ph.D. from the University of Pennsylvania in 1995 , then was principal member of the technical staff at AT&T Labs until he joined the UW in 2000. Professor Suciu is conducting research in data management, with an emphasis on topics that arise from sharing data on the Internet, such as management of semistructured and heterogeneous data, data security, and managing imprecisions in data. He is a co-author of the book Data on the Web: from Relations to Semistructured Data and XML, holds six US patents, received the 2000 ACM SIGMOD Best Paper Award, is a recipient of the NSF Career Award and of an Alfred P. Sloan Fellowship. Professor Suciu conducted in the past three projects that lead to popular software tools in the public domain: XMill, XMLTK, and SilkRoute. For additional detail on Dan Suciu's background and research interests go here. Luis Ceze ~ Computer Architechture
Luis Ceze, Assistant Professor in computer science at the University of Washington, graduated in October 2007 from University of Illinois, Urbana-Champaign. His main research area is computer architecture. He also investigates programming models and compiler support for new architectures. His thesis work focused on designs to improve the programmability of parallel machines and reduce their hardware complexity. Two years of his graduate studies were supported by an IBM PhD Fellowship. For additional detail on Luis Ceze's background and research interests go here. Brian Curless ~ Current Trends in Computer Graphics
Associate Professor Brian Curless, joined the Computer Science and Engineering faculty at the University of Washington in January 1998. He earned his bachelor's degree in electrical engineering at the University of Texas at Austin. Though he was also pre-med as an undergrad, he decided to stick with his more mathematical leanings, and embarked on a brief career as an electrical engineer. After a year of designing and implementing parallel processor DSP algorithms and custom printed circuit boards at SRI International, he returned to grad school and earned his M.S. (1991) and Ph.D. (1997) degrees at Stanford. He did his thesis research on 3D range scanning, which opened the door for working on the Digital Michelangelo Project at Stanford. After laying some of the groundwork for this project in the latter half of 1997, he spent the winter of 1999 in Florence to scan some of the great sculptures of Michelangelo. Professor Curless's research interests span a number of areas in computer graphics and vision, including range scanning, surface shape and appearance reconstruction and modeling, image-based rendering, matting and compositing, human shape modeling, and physics-based modeling of object and character deformation. Professor Curless is also the faculty coordinator of the CSE Professional Master's Program and Chair of the PMP admission committee. For additional detail on Brian Curless' background and research interests go here. |
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Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 (206) 543-1695 voice, (206) 543-2969 FAX [comments to masters] |
