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University of
Washington
Department of
Computer Science
& Engineering
March 2001
www.cs.washington.edu
Top-10 research
program
Embedded systems,
VLSI systems, and
reconfigurable
computing
Larry Arnstein, Gaetano Borriello, Chris
Diorio, Carl Ebeling
Computer architecture
Jean-Loup Baer, Carl Ebeling, Susan Eggers,
Hank Levy, Larry Snyder
Networking
Tom Anderson, Brian
Bershad, Richard Ladner,
Ed Lazowska, Hank Levy, David Wetherall,
John Zahorjan
Operating systems and distributed
systems
Tom Anderson, Brian Bershad, Steve
Gribble, Anna Karlin, Ed Lazowska, Hank
Levy, Alan Shaw, John Zahorjan
Programming systems
Alan Borning, Craig
Chambers, Susan Eggers, Larry Snyder
Information retrieval, database systems,
and intelligent internet systems
Pedro Domingos, Oren Etzioni, Alon Levy,
Dan Suciu, Dan Weld
Software engineering
Gaetano Borriello, David
Notkin, Alan Shaw
Computer graphics, computer vision, and
animation
Brian Curless, Barbara Mones, Zoran Popovic,
David Salesin, Steve Seitz, Linda Shapiro,
Steve Tanimoto
Human interface to computing
Alan Borning, Gaetano Borriello,
Oren Etzioni, Zoran Popovic,
Steve Tanimoto, Dan Weld
Artificial intelligence and
robotics
Pedro Domingos, Oren Etzioni,
Dieter Fox, Henry Kautz, Alon
Levy, Steve Tanimoto, Dan Weld
Theory of computation
Richard Anderson, Paul Beame,
Anna Karlin, Richard Ladner,
Martin Tompa
Computing and biology
Chris Diorio, Raj Rao, Larry Ruzzo, Rimli
Sengupta, Martin Tompa
Entrepreneurship
Emer Dooley
Larry Arnstein
Background: Electronic Design Automation
Recently: Applications and technologies for
ubiquitous computing.
User
Association
Distribution
Services
Device
Conversion
User
Association
events
User-1
I/O
User-2
I/O
Emer Dooley
Joint appointment with the Business School
Primary areas of interest: High-tech strategy (specifically the
computer industry) and entrepreneurship
Classes taught:
• Software entrepreneurship
• Business basics for computer science professionals
• Strategic Management of Innovation and Technology
BSc, Meng, University of Limerick. Ph.D. 2000 UW.
Dieter Fox
AI and Mobile Robotics
l
Goal: Develop intelligent robots that can act
autonomously in unknown, dynamic environments
l
Approach: Apply probabilistic methods to deal with
uncertainties (sensors, actuators, world)
l
Applications: Service robots, space exploration, health care,
education, RoboCup!
Steve Gribble (systems)
• From U.C. Berkeley, PhD 2000
– worked under Dr. Eric Brewer
• Scalable, highly-available Internet infrastructure
– network-of-workstation platforms
• distributed data structures: storage abstraction for a NOW
• robust, stable behavior in the face of the unexpected
• Applications of m obility and wireless networking
– adaptive middleware (proxied computing)
• distillation: rich content on thin clients
• Wide-area content delivery infrastructure
– scalable servers, caching, CDN’s, content-based routing, P2P
Henry Kautz
Artificial Intelligence
•Knowledge representation and reasoning
•Planning and search algorithms
•Satisfiability testing
•Phase-transition phenomena and
the hardness of logical inference
•Machine learning and statistical
techniques for the control of
problem solving systems
Zoran Popovic
• Human motion synthesis
• Motion capture
• Physics-based modeling
Neural Computing and Computational Neuroscience
The Visual Cortex
Computational Models of the Brain
Example:
A Computational
Model of the Visual
Cortex based on
Predictive Coding
Rajesh Rao
Application Areas:
Computer Vision,
Machine Learning,
and Robotics
1
Steve Seitz
Input
Output
Vision and Graphics
Rimli Sengupta
Computational Biology
Computational problems arising in:
1. Developing technology for collecting high throughput
biological data ( DNA micro arrays )
Quality control in manufacturing DNA arrays
using ideas from error-correcting codes
2. Analysis of high throughput biological data
Functional classification of genes based on their
promoter regions using ideas from information
retrieval
Diverse, outstanding
educational programs
160 Bachelors graduates
per year (Computer
Science, Computer Engineering)
Superb students because demand is 3X
Emma Brunskill, Computer Engineering ‘00, 2001 Rhodes Scholar
Kevin Zatloukal, Computer Science ‘01, 2001 Computing Research
Association national “Outstanding Undergraduate” (plus 2
Honorable Mentions)
Chris Twigg, Computer Science ‘02, 1999-00 UW Sophomore
Medalist (top student in UW’s sophomore class)
Thomas Carlson, Computer Science ‘02, 1999-00 UW Junior
Medalist (top student in UW’s junior class)
Professional Masters
Program
Top-10 Doctoral program
William Chan, Ph.D. ‘00, Mike Ernst, Ph.D. ‘00: 2
of 3 students recognized nationally in 2000 ACM
Doctoral Dissertation award competition
Stefan Savage, Ph.D. ‘01: offers from MIT,
Stanford, Berkeley, CMU, UCSD, ...
2500 students/year in intro courses
5000 students/year in extension courses
A faculty commitment to excellence
Top-ten ranking by the
National Research Council
UW Brotman Award for
Instructional Excellence
4 UW Distinguished
Teaching Awards
UW Outstanding Graduate
Mentor Award
UW Annual Faculty
Lecturer
UW Outstanding Public Service
Award
Seattle Alliance for Education
A+ Partnership Award
R1edu Educational Technology
Award
National Academy of Engineering
7 Sloan Research
Fellowship recipients
5 NSF Presidential
Faculty Fellow /
Presidential Early Career
Awards
8 NSF CAREER Awards
8 Fulbright recipients
2 Guggenheim recipients
17 Fellows in major
professional societies
Vibrant
entrepreneurial activity
Simultaneous
Multithreading
Safeware
Engineering
Corporation
Etch
Maximal integration
Horizontally
No rigidly-defined “research
groups”; lots of true co-supervision;
heterogeneous grad student offices; technical
and administrative equipment and support is
communal
Vertically
Research, education, and social activities
include undergrads, grads, postdocs, faculty,
staff; minimal hierarchy among the faculty or
between faculty and students
UW provides a
terrific environment
A top national research
university
2nd nationally in federal research funding
3rd nationally in industrial R&D support
5th nationally in licensing revenue
9th nationally in private giving
Very low barriers to collaboration
Art, Astronomy, Business, Education,
Electrical Engineering, I-School, Medicine,
Molecular Biotechnology, Music ...
A CSE facility like no other
Seattle provides a
terrific environment too
A wonderful urban
environment
Unbeatable natural
surroundings
More than 2000 technology
companies
Microsoft Research is a huge asset, but so are
Adobe, Appliant, Asta Networks, Boeing,
Consystant, Equator, Impinj, Intel, Nimble,
Tera/Cray, WRQ, many more
Blizzard-free since February 17
Riot-free since February 27
Quake-free since February 28
Boeing-free since March 21
The bottom line
(seriously!)
A great place to
continue your education
A great place to live
and to work