2014 Rising Stars in EECS

An Academic Career Workshop for Women


Prof. Eric BrewerProf. Eric Brewer

Eric Brewer received his M.S. and Ph.D. in EECS from MIT, and a B.S. in EECS from UC Berkeley. He was named a "Global Leader for Tomorrow" by the World Economic Forum, by the Industry Standard as the "most influential person on the architecture of the Internet" by InfoWorld as one of their top ten innovators, by Technology Review as one of the top 100 most influential people for the 21st century (the "TR100"), and by Forbes as one of their 12 "e-mavericks", for which he appeared on the cover. Dr. Brewer focuses on all aspects of Internet-based systems; including technology, strategy, and government. As a researcher, he has led projects on scalable servers, search engines, network infrastructure, sensor networks, and security. His current focus is on (high) technology for developing regions, with projects in Cambodia, India, Ghana, Mexico, Sri Lanka and Bangladesh (so far), and including communications, health, education, and e-government.

In 1996, he co-founded Inktomi Corporation with a Berkeley grad student based on their research prototype, and helped lead it onto the Nasdaq 100 before it was bought by Yahoo! in March 2003. In 2000, he founded the Federal Search Foundation, a 501-3(c) organization focused on improving consumer access to government information. Working with President Clinton, Dr. Brewer helped to create FirstGov.gov, the official portal of the Federal government, which launched in September 2000. Effective July 1, 2014, Professor Brewer is 50%-time with the University and also serving as a leader at Google.

Tamara BroderickTamara Broderick

Tamara Broderick is a Ph.D. candidate in Statistics at the University of California, Berkeley and will start as an assistant professor in EECS at MIT in January 2015. She received an AB in Mathematics from Princeton University (2007), a Master of Advanced Study for completion of Part III of the Mathematical Tripos from the University of Cambridge (2008), an MPhil by research in Physics from the University of Cambridge (2009), and an MS in Computer Science from the University of California, Berkeley (2011). Her recent research has focused on developing and analyzing models for scalable, unsupervised machine learning using Bayesian nonparametrics. She has been awarded the Evelyn Fix Memorial Medal and Citation (for the PhD student on the Berkeley campus showing the greatest promise in statistical research), the Berkeley Fellowship, an NSF Graduate Research Fellowship, a Marshall Scholarship, and the Phi Beta Kappa Prize (for the graduating Princeton senior with the highest academic average). She was a Rising Stars participant in 2013.

Deborah CrawfordDeborah Crawford

Deborah Crawford is Director of the International Computer Science Institute (ICSI), an independent non-profit research organization affiliated with the University of California Berkeley.   Crawford joined ICSI in 2014, after serving as Senior Vice Provost for Research at Drexel University for 4 years.   From 1993 to 2010, she worked at the National Science Foundation in executive and program management positions in the Directorates for Computer and Information Science and Engineering, Education and Human Resources, and Engineering, and in the Office of the Director. Crawford also served as NSF’s liaison to the National Science and Technology Council, the Office of Science and Technology Policy, the Defense Advanced Research Projects Agency, and the National Institutes of Health.  She was recognized by the President of the United States for her contributions to science and science policy, receiving a Presidential Rank Award in 2006 and in 2010.  Prior to joining NSF, Crawford’s research focused on high speed optical and optoelectronic systems in work done at the Jet Propulsion Laboratory, the University of California Santa Barbara, and AT&T Bell Laboratories. A native of Glasgow, Scotland, Crawford earned her Ph.D. in Information Systems Engineering from the University of Bradford, and her B.Sc. (Hons) in Electronic and Electrical Engineering from the University of Glasgow

Dr. Bill DallyDr. Bill Dally

Bill Dally is chief scientist at NVIDIA and senior vice president of NVIDIA Research, the company’s world-class research organization, which is chartered with developing the strategic technologies that will help drive the company’s future growth and success. Dally first joined NVIDIA in 2009 after spending 12 years at Stanford University, where he was chairman of the computer science department and the Willard R. and Inez Kerr Bell Professor of Engineering. Dally and his Stanford team developed the system architecture, network architecture, signaling, routing and synchronization technology that is found in most large parallel computers today.

He was previously at the Massachusetts Institute of Technology from 1986 to 1997, where he and his team built the J-Machine and M-Machine, experimental parallel computer systems that pioneered the separation of mechanism from programming models and demonstrated very low overhead synchronization and communication mechanisms. From 1983 to 1986, he was at the California Institute of Technology (Caltech), where he designed the MOSSIM Simulation Engine and the Torus Routing chip, which pioneered wormhole routing and virtual-channel flow control. He is a cofounder of Velio Communications and Stream Processors. He is a member of the National Academy of Engineering, a Fellow of the American Academy of Arts & Sciences, a Fellow of the IEEE and the ACM. He received the 2010 Eckert-Mauchly Award, considered the highest prize in computer architecture, as well as the 2004 IEEE Computer Society Seymour Cray Computer Engineering Award and the 2000 ACM Maurice Wilkes Award. He has published more than 200 papers, holds more than 75 issued patents and is the author of two textbooks, “Digital Systems Engineering” and “Principles and Practices of Interconnection Networks.”

Dally received a bachelor’s degree in electrical engineering from Virginia Tech, a master’s degree in electrical engineering from Stanford University and a PhD in computer science from Caltech.

William FreemanWilliam Freeman

William T. Freeman is Professor and Associate Department Head of the Electrical Engineering and Computer Science at MIT, joining the faculty in 2001. His current research interests include motion re-rendering, computational photography, and learning for vision. He received outstanding paper awards at computer vision or machine learning conferences in 1997, 2006, 2009 and 2012, and a "test of time" award in 2013 for a 1995 paper. Previous research topics include steerable filters and pyramids, the generic viewpoint assumption, color constancy, bilinear models for separating style and content, and belief propagation in networks with loops. He holds 30 patents.

He is active in the program or organizing committees of computer vision, graphics, and machine learning conferences and was program co-chair for ICCV 2005 and CVPR 2013.

Tara Javidi

Tara Javidi

Tara Javidi studied electrical engineering at Sharif University of Technology, Tehran, Iran from 1992 to 1996. She received her MS degrees in electrical engineering (systems) and in applied mathematics (stochastics) from the University of Michigan, Ann Arbor, in 1998 and 1999, respectively. She received a Ph.D. in electrical engineering and computer science from the University of Michigan, Ann Arbor, in 2002. From 2002 to 2004, she was an assistant professor at the Electrical Engineering Department, University of Washington, Seattle. In 2005, she joined University of California, San Diego, where she is currently an associate professor of electrical and computer engineering. During 2013-2014, she was a visiting faculty at Stanford University where she spent her sabbatical.

Tara Javidi was a Barbour Scholar during 1999-2000 academic year and received an NSF CAREER Award in 2004. She has been an associate editor of ACM/IEEE Transactions on Networking as well as for IEEE Transactions on Network Science and Engineering.  Her research interests are in communication networks, stochastic resource allocation, stochastic control theory, and wireless communications.

Anna KarlinAnna Karlin

Anna Karlin, Microsoft Professor of Computer Science and 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 (what was then) Digital Equipment Corporation's Systems Research Center. Her research is primarily in theoretical computer science: the design and analysis of algorithms, particularly algorithmic game theory, probabilistic and online algorithms. She also works at the interface between theory and other areas, such as economics and game theory, data mining, operating systems, networks, and distributed systems.

Dr. Kelin KuhnDr. Kelin Kuhn

Kelin Kuhn is presently a Visiting Scholar at Cornell University. She retired from Intel in 2014, and while at Intel was an Intel Fellow in the Technology and Manufacturing Group and Director of Advanced Device Technology.

Dr. Kuhn joined Intel in 1997 working on Intel's 0.35 micron CMOS process technology. While at Intel she was involved in Intel's CMOS manufacturing process technology development for the 0.35 micron, 130nm, 90nm, 45nm, 22nm, 14nm, 10nm and 7nm technology nodes.

Prior to joining Intel, she was a tenured faculty member in the Department of Electrical and Computer Engineering at the University of Washington. Her research work at the University of Washington was on III-V strained layer materials.

Dr. Kuhn is an IEEE Fellow.  She has been awarded the 2013 IEEE Paul Rappaport award, two Intel Achievement awards (one for her work on the 45nm Hi-K metal gate transistor and one for her work on the 22nm TriGate transistor), and is the past recipient of a National Science Foundation Presidential Young Investigator Award.  She is the author of more than 80 technical papers in electronic and photonics, has authored a textbook on laser engineering, and is presently completing a book (in partnership with Prof. Tsu-Jae King Liu) on CMOS technology (Cambridge, 2015). Dr. Kuhn earned her bachelor's degree in electrical engineering from the University of Washington in 1980. She received her master's and doctoral degrees in electrical engineering from Stanford University in 1985.

Ran Libeskind-HadasRan Libeskind-Hadas

Ran "RON" Libeskind-Hadas received the A.B. in applied mathematics from Harvard University and the the M.S. and Ph.D. in Computer Science from UIUC.  Since 1993, he has been on the faculty at Harvey Mudd College where he is currently the R. Michael Shanahan Professor and department chair.

Ran's research interests are in algorithms and computational biology.  Ran and his colleagues at Harvey Mudd have developed a set of introductory computer science courses that emphasize creative problem solving and provide a view of the discipline of computer science, in addition to teaching programming.  As a result of these courses and other practices implemented in the department, over 40% of CS majors at Harvey Mudd are women.  Ran is a member of the Computing Community Consortium (CCC) Council and is co-chair of the Computing Research Association's Education Committee (CRA-E).

Tim RoughgardenTim Roughgarden

Tim Roughgarden is an Associate Professor of Computer Science and (by courtesy) Management Science and Engineering at Stanford University, where he holds the Chambers Faculty Scholar development chair. At Stanford, he has taught the Design and Analysis of Algorithms course. His research concerns the theory and applications of algorithms, especially for networks, auctions and other game-theoretic applications, and data privacy.

For his research, he has been awarded the ACM Grace Murray Hopper Award, the Presidential Early Career Award for Scientists and Engineers (PECASE), the Shapley Lecturership of the Game Theory Society, a Sloan Fellowship, INFORM's Optimization Prize for Young Researchers, and the Mathematical Programming Society's Tucker Prize.

Jeannette WingJeannette Wing

Jeannette M. Wing is Corporate Vice President, Microsoft Research. She is on leave from Carnegie Mellon University, where she is President's Professor of Computer Science and twice served as the Head of the Computer Science Department.  From 2007-2010 she was the Assistant Director of the Computer and Information Science and Engineering Directorate at the National Science Foundation.  She received her S.B. and S.M. degrees in Computer Science and Engineering in 1979 and her Ph.D. degree in Computer Science in 1983, all from the Massachusetts Institute of Technology.

Professor Wing's general research interests are in the areas of trustworthy computing, specification and verification, concurrent and distributed systems, programming languages, and software engineering. Her current interests are in the foundations of security and privacy. She was or is on the editorial board of twelve journals, including the Journal of the ACM and Communications of the ACM.

She is currently Chair of the DARPA Information Science and Technology (ISAT) Board. She has been a member of many other advisory boards, including: Networking and Information Technology (NITRD) Technical Advisory Group to the President's Council of Advisors on Science and Technology (PCAST), National Academies of Sciences' Computer Science and Telecommunications Board, ACM Council, and Computing Research Association Board.  She served as co-chair of NITRD from 2007-2010.  She was on the faculty at the University of Southern California, and has worked at Bell Laboratories, USC/Information Sciences Institute, and Xerox Palo Alto Research Laboratories. She received the CRA Distinguished Service Award in 2011.  She is a member of Sigma Xi, Phi Beta Kappa, Tau Beta Pi, and Eta Kappa Nu. She is a Fellow of the American Academy of Arts and Sciences, American Association for the Advancement of Science, the Association for Computing Machinery (ACM), and the Institute of Electrical and Electronic Engineers (IEEE).

Katherine YelickKatherine Yelick

Katherine Yelick is a Professor of Electrical Engineering and Computer Sciences at the University of California at Berkeley and is also the Associate Laboratory Director for Computing Sciences at Lawrence Berkeley National Laboratory. Her research is in programming languages, compilers, and algorithms for parallel machines, including the UPC and Titanium languages and automatic performance tuning libraries. She was Director of the National Energy Research Scientific Computing Center (NERSC) from 2008 to 2012 and currently oversees NERSC, the Energy Sciences Network (ESnet) and a research division with over 150 scientists and engineers in applied math, computer science and computational science. She earned her Ph.D. in Electrical Engineering and Computer Science from MIT and has been a professor at UC Berkeley since 1991 with a joint research appointment at Berkeley Lab since 1996.

She is an ACM Fellow and recent recipient of the ACM-W Athena award. She is a member of the California Council on Science and Technology, the National Academies Computer Science and Telecommunications Board, and the Science and Technology Committee overseeing research at Los Alamos and Lawrence Livermore National Laboratories.