faculty

Tsu-Jae King Liu named Dean of Berkeley Engineering

Prof. Tsu-Jae King Liu has been selected as the new Dean of the College of Engineering.  King Liu served as Associate Dean for Research in the College from 2008-12, Chair of the EECS department from 2014-16, and Vice Provost for Academic and Space Planning on the Berkeley campus from 2016-18. She is a member of both the National Academy of Engineering and the National Academy of Inventors, and is internationally recognized for her research innovations in semiconductor devices and technology, garnering numerous awards and honors for her work.  King Liu is replacing Prof. Shankar Sastry, who held the post for more than 10 years.

Bin Yu wins COPSS 2018 Elizabeth L. Scott Award

EE/CS Prof. and alumna Bin Yu (M.S. '87/Ph.D. '90) has won the Committee of Presidents of Statistical Societies (COPSS) 2018 Elizabeth L. Scott Award.  This award is granted to an individual who has helped foster opportunities in statistics for women, exemplifying the spirit of mathematician and statistician Elizabeth L. Scott. Scott, who like Yu was a Cal alumna and professor, was a founding member of Berkeley's statistics department and fought hard for women's equal treatment on campus and beyond.  COPSS is comprised of the presidents, past presidents and presidents-elect of five Northern American statistical societies, and their awards are considered among the most prestigious in the field of statistics. Yu, who has a split appointment in EECS and Statistics, is interested in statistical inference, machine learning, and information theory. Her collaborations are highly interdisciplinary and include scientists from genomics, neuroscience, precision medicine, and political science.

Joseph Gonzalez wins 2018 Okawa Research Grant

CS Assistant Prof. Joey Gonzalez has won a 2018 Okawa Research Foundation Grant.  Okawa Research Grants are bestowed for "studies and analyses in the fields of information and telecommunications."  Gonzalez's research interests are at the intersection of machine learning and data systems. The award will be presented in San Francisco in the fall.

PerfFuzz wins ISSTA18 Distinguished Paper Award

"PerfFuzz: Automatically Generating Pathological Inputs," written by graduate students Caroline Lemieux and Rohan Padhye, and Profs. Koushik Sen and Dawn Song, will receive a Distinguished Paper Award from the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2018 in Amsterdam in July.  PerfFuzz is a method to automatically generate inputs for software programs via feedback-directed mutational fuzzing.  These inputs exercise pathological behavior across program locations, without any domain knowledge.   The authors found that PerfFuzz outperforms prior work by generating inputs that exercise the most-hit program branch 5x to 69x times more, and result in 1.9x to 24.7x longer total execution paths.

Raluca Ada Popa and Sanjam Garg awarded Hellman Fellowships

CS Assistant Professors Raluca Ada Popa and Sanjam Garg have been selected to receive Hellman Fellowships.  The Hellman Fellows Fund substantially supports "research of promising assistant professors who show capacity for great distinction in their research." Popa's interests include security, systems, and applied cryptography.  She has developed practical systems that protect data confidentiality by computing over encrypted data, as well as designed new encryption schemes that underlie these systems.  Garg's research interests are in cryptography and security, and more broadly in theoretical computer science.  His work on multilinear maps and obfuscation has found extensive applications in cryptography. Other recent EECS faculty recipients of this award include Thomas Courtade, Tapan Parikh, Michael Lustig, and Pieter Abbeel.

Shankar Sastry Awarded Berkeley Citation

Prof. Shankar Sastry was awarded the Berkeley Citation, one of the university's highest honors, at the College of Engineering's 2018 Commencement ceremony on March 15th.  It celebrated Sastry's tenure of more than a decade as the dean of engineering, which is ending this year.  The award, which was kept as a surprise, honors Sastry’s achievements and leadership. As dean, he helped lead the growth of the college’s educational and support programs for students, fostered opportunities for world-class research faculty, and increased Berkeley Engineering’s footprint, through the creation of new buildings, institutes and alliances and partnerships with other university and research partners.  “The last decade has been remarkable,” said Vice Chancellor Oscar Dubón, “thanks in no small part to Shankar’s vision, energy and enthusiasm for Berkeley and its students. With creative new approaches, he met the challenge of preparing our graduates for a changing world, increasing our focus on design, entrepreneurship, hands-on learning, and integrating business or clinical skills with engineering.”

Explainable AI could reduce the impact of biased algorithms

CS Assistant Prof. Joseph Gonzalez is quoted in an article for VentureBeat titled "Explainable AI could reduce the impact of biased algorithms."   The article discusses the ways human bias could potentially be introduced into machine learning-enabled systems and how General Data Protection Regulation (GDPR) might help. Collecting data from the past is a common starting point for data science projects — but historical “data is often biased in ways that we don’t want to transfer to the future,” said Gonzalez.  “It is an incredibly hard problem...but by getting very smart people thinking about this problem and trying to codify a better approach or at least state what the approach is, I think that will help make progress.”

Microsoft acquires Semantic Machines

Semantic Machines, an artificial intelligence startup co-founded by Prof. Dan Klein and staffed by a number of EECS alumni, has been acquired by Microsoft to help Cortana hold more natural dialog with users.  The team has built a number of machine learning components which work together for a smarter AI, and move beyond the more basic back-and-forth currently supported by the Google Assistant, Apple’s Siri, and Amazon’s Alexa.

In addition to Klein, the team includes Percy Liang (Ph.D. '11), David Hall (Ph.D. '12), Adam Pauls (Ph.D. '12), David Burkett (Ph.D. '12), Jason Wolfe (Ph.D. '11 adviser: Stuart Russell), Yuchen Zhang (Ph.D. '16), Taylor Berg-Kirkpatrick (B.A. '08/Ph.D. '15), Greg Durrett (Ph.D. '16), Alex Nisnevich (M.S. '14), current grad student Jacob Andreas, Charles Chen (B.A. CS/Math '11), Andrew Nguyen (B.A. CS/Linguistics '12), Chuck Wooters (Ph.D. Speech Recognition '93), and consultant Prof. Michael Jordan.

150 Years of Innovation: John Whinnery: Fields and waves

EECS Prof. and alumnus John Whinnery (1916-2009, EE B.S. '37/Ph.D. '48 ) is the subject of a Berkeley Engineering article celebrating UC Berkeley's 150th year.  Whinnery served as director of the Electronics Research Laboratory from 1952-56, department chair from 1956-59, and dean of the College of Engineering from 1959-63. He was a distinguished innovator in the field of electromagnetism and communication electronics and was recognized as one of the country’s top experts on the fundamentals of quantum electronics.  He was awarded the IEEE Medal of Honor in 1985 and the National Medal of Science in 1992

SiFive receives $50.6M in series C funding

SiFive, a fabless provider of customized semiconductors built on research by alumnus Yunsup Lee (MS '11/Ph.D. '16), alumnus Andrew Waterman (M.S. '11/Ph.D. '16), and Prof. Krste Asanović, received $50.6M in series C funding in April.  Lee is Chief Technology Officer,  Waterman is Chief Engineer, and Asanović is Chief Architect at SiFive. The funding round was co-led by Osage University Partners, Sutter Hill Ventures, Spark Capital, and Intel Capital.  SiFive's semiconductors are built on Risc-V, an instruction set architecture (ISA), which acts as the conduit between a computer's software and hardware.  The series C round is being used to commercialize additional products based on Risc-V.  The company has raised $64.1M in funding to date.