News

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Joseph Hellerstein wins SIGMOD Edgar F. Codd Innovations Award

Professor Joseph Hellerstein was awarded the SIGMOD Edgar F. Codd Innovations Award, citing innovative contributions in extensible query processing, interactive data analytics, and declarative approaches to networking and distributed computing. The award is given for innovative and highly significant contributions of enduring value to the development, understanding, or use of database systems and databases. Until 2003, this award was known as the “SIGMOD Innovations Award.” In 2004, SIGMOD, with the unanimous approval of ACM Council, decided to rename the award to honor Dr. E.F. (Ted) Codd (1923 – 2003) who invented the relational data model and was responsible for the significant development of the database field as a scientific discipline. SIGMOD, otherwise known as the the ACM Special Interest Group on Management of Data, is concerned with the principles, techniques and applications of database management systems and data management technology. Its members include software developers, academic and industrial researchers, practitioners, users, and students. SIGMOD sponsors the annual SIGMOD/PODS conference, one of the most important and selective in the field.

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Alane Suhr receives honorable mention for ACM Doctoral Dissertation Award

EECS Assistant Professor Alane Suhr has received an honorable mention for the 2022 ACM Doctoral Dissertation Award. Suhr’s dissertation, “Reasoning and Learning in Interactive Natural Language Systems,” was honored “for formulating and designing algorithms for continual language learning in collaborative interactions, and designing methods to reason about context-dependent language meaning.” Suhr’s research is focused on natural language processing, machine learning, and computer vision. Suhr will be joining Berkeley EECS as an assistant professor in July 2023.

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Miki Lustig wins Society of Pediatric Radiology Pioneer Award

EECS Professor Michael (Miki) Lustig has won the Society for Pediatric Radiology Pioneer Award. Lustig and longtime collaborator Stanford Radiology Professor Shreyas Vasanawala were recognized “for their collaborative  work in ushering in a new era of cardiovascular & body MR innovations designed for the pediatric patient, bringing us closer to a dedicated pediatric MR scanner system.” Since 1990, the Society of Pediatric Radiology has honored certain physicians who have made special contributions to the early development of the pediatric radiology field. Lustig’s research focuses on computational MRI methods. Lustig and Vasanawala have been collaborating for over 15 years with the aim of eliminating the need for anesthesia in pediatric MRI.

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UC Regents vote to establish College of Computing, Data Science, and Society

The UC Board of Regents today voted to establish UC Berkeley’s College of Computing, Data Science, and Society (CDSS), the campus’s first new college in more than 50 years. The vote is the result of a three-year process to transform the Division of Computing, Data Science and Society into a college, which, in its new organizational structure, will be able to more effectively form new programs and partnerships, support instruction and research and foster identity and community among faculty, students and alumni. The college includes the Data Science Undergraduate Studies program, the Department of Statistics, the Berkeley Institute for Data Science, the Center for Computational Biology and the Bakar Institute of Digital Materials for the Planet. CDSS shares the Department of Electrical Engineering and Computer Sciences with the College of Engineering, the Social Science Data Lab (D-Lab) with the Social Sciences division, and the Computational Precision Health program with UC San Francisco (UCSF). “We are thrilled to announce a new college at Berkeley that connects our excellent research and education in computing, data science and statistics with the many data-intensive disciplines across our campus,” said Chancellor Christ. “Infusing the power of data science across multiple disciplines, from basic and applied sciences to the arts and humanities, will help us to fully realize its potential to benefit society, help address our world’s most intractable problems, and achieve our most visionary goals. At Berkeley, we have the opportunity and responsibility to educate data science students from diverse backgrounds to become the ethical leaders we need in private industry, the public service sector, and education.”

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(Photo: Sheila Humphreys)

9th Annual Berkeley-Stanford meetup celebrates the 45th anniversary of WiCSE

The 9th Annual Berkeley-Stanford Women in EECS research meetup took place on Saturday, April 29th in the Wozniak Lounge, Soda Hall. The meetup offers all female-identifying, transgender, non-binary, and gender non-conforming graduate students a chance to learn about each other’s research and to network with alums from industry and academia. The daylong event featured a panel of faculty from both Berkeley and Stanford, as well as recent alums in industry. Throughout the day graduate students presented their research highlights. Stanford EE Assistant Professor Dorsa Sadigh (EECS Ph.D. ‘17), gave a keynote speech. The meetup marked the 45th anniversary of Berkeley’s Women in Computer Science and Electrical Engineering (WiCSE). Professor Susan Graham, the first woman appointed to the CS faculty in 1971, shared remarks on the history and value of WiCSE. “What a wonderful group of students!" said Graham. "I was impressed with the brief research talks, and with the conversations I had."

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(Photo by Adam Lau/Berkeley Engineering)

Berkeley EECS faculty to join NSF-backed AI cybersecurity institute

Five Berkeley EECS faculty members have joined the newly formed AI Institute for Agent-based Cyber Threat Intelligence and Operation (ACTION), which is backed by the National Science Foundation (NSF). NSF will invest $140 million into seven new National Artificial Intelligence Research Institutes, of which ACTION is a key institute that will use AI to address risks in cybersecurity. The UC Berkeley team will be led by CS Professor Dawn Song, as well as Professors Stuart Russell, Pieter Abbeel, David Wagner, and Bin Yu. “UC Berkeley’s team aims to develop both new foundational technologies in learning and reasoning, as well as their novel applications in the cybersecurity domain, to significantly improve state-of-the-art technologies throughout the life cycle of cyber defense,” said Song.

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Gireeja Ranade and Sophia Shao win NSF CAREER Awards

The National Science Foundation (NSF) awarded two EECS assistant professors, Gireeja Ranade and Sophia Shao, with Faculty Early Career Development (CAREER) awards. The awards are part of NSF's prestigious CAREER Program, which supports early-career faculty “who have the potential to serve as academic role models” and leaders in their field. Ranade received a grant of $422,181 to explore new non-linear control strategies, while Shao received a grant of $600,000 to fund her work on improving the performance of computing platforms.

William Kahan raising a glass in celebration of IEEE Standard 754
(Photo: Berkeley EECS)

IEEE Standard 754 Milestone Dedication honors William Kahan

A dedication ceremony was held to honor EECS Emeritus Professor William Kahan for his contribution to the development of IEEE Standard 754. The ceremony, which took place on Wednesday, May 3rd, included remarks from Dean Liu, Chair Tomlin, and CS Professor Jim Demmel. A new commemorative plaque was unveiled in Soda Hall, next to the IEEE plaque that celebrates Berkeley EECS’ contribution to RISC. The new plaque celebrates Kahan and others’ work in the development of IEEE Standard 754, which was originally conceived in 1978. Kahan and his colleagues revolutionized numerical computing, creating arithmetic and standard data types that improved software reliability and portability. The IEEE 754 standard is widely used for numerical computing and is still being improved today.

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EECS Alumna Leslie Field featured in The New Yorker

EECS Alumna Leslie Field (Ph.D. ‘91, M.S. ‘89) was featured in The New Yorker, highlighting a novel approach to combating one of the most proximate effects of climate change: the melting of polar ice caps and mountain glaciers. In work formalized in Earth’s Future, a journal of the American Geophysical Union, Field and her colleagues applied a thin layer of glass microspheres on top of a frozen lake and demonstrated that such materials can slow the melting of ice over the thawing season by absorbing additional solar radiation. These methods proposed by Field and promoted by her non-profit organization, Ice911, aim to address the near-term effects of climate change by delaying melting ice and therefore sea level rise, knowing “that their approach [is] not a substitute for the larger undertaking of cutting climate pollution to near-zero. … ” The article further raised probing and vexing questions about the costs, benefits, and complex moral calculus of this and other proposed large-scale geoengineering projects aimed at the climate crisis, such as whether those efforts may unfairly burden indigenous communities in the Arctic or inadvertently deprioritize other environmental concerns brought on by introducing new substances into delicate ecosystems. “Action is risky, but so is inaction; geoengineering highlights the tension between speed and safety […] meanwhile, the climate crisis will grow more urgent with every day that passes—until, one day, the melting of the cryosphere makes our questions moot.”

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Berkeley EECS graduate programs lead US News Rankings

The U.S. News & World Report ranked both the Electrical Engineering and Computer Science graduate programs at Berkeley EECS among the top three graduate programs in the nation for 2023. Computer Science is ranked #1, tied with MIT and Stanford. Electrical Engineering and Computer Engineering are ranked #2, tied with Stanford. The magazine based its rankings on responses from 202 engineering schools across the country, including data from fall 2022 and early 2023. This year, U.S. News included non-responders from the 220 schools surveyed, so long as they reported enough data to be eligible in 2022.