Campus Shutdown Notice

In light of the ongoing coronavirus (COVID-19) situation, we have decided to close our administrative offices starting Monday, March 16, 2020 until further notice.  Cory and Soda Hall are closed.  Classes are being held remotely.  All events in Cory and Soda Halls will either be cancelled or held remotely, and staff will be working remotely during this time.

RISC-V grows globally as an alternative to Arm

RISC-V, a royalty-free microprocessor architecture first developed at Berkeley, is emerging as a rival to Arm, the most successful microchip architecture in the world.   The first RISC-V chip was built in 2011 as part of the open source Peer Lab Project by CS Prof. and alumnus Krste Asanović (Ph.D. '98, advisor: John Wawrzynek), CS Prof. Emeritus David Patterson, and CS alumni Andrew Waterman (M.S. 11/Ph.D. '16, advisors: David Patterson/Krste Asanović) and Yunsup Lee (M.S. '11/Ph.D. '16, advisor: Krste Asanović).  Asanović, Waterman and Lee went on to found SiFive, "the first fabless semiconductor company to build customized silicon on RISC-V."   Asanović explains that the architecture has gained momentum "not because it's 10% faster. It's because it's a new business model."  Chip designers traditionally have to find a seller to make their microprocessors, but now designers can select RISC-V and "all suppliers compete for your business.  You can add your own extensions without obtaining permission" or paying license fees.

Dawn Song named 2019 ACM Fellow

EECS Prof. and alumna Dawn Song (Ph.D. '02, advisor: Doug Tygar) has been  selected as a 2019 Fellow of the Association for Computing Machinery (ACM).    Song was cited "For contributions to security and privacy" and is now part of an elite group that represents less than 1% of the Association’s global membership.  As one of the world’s foremost experts in computer security and trustworthy artificial intelligence, Song founded a startup to build a new platform based on a paradigm in which people control their data and are compensated for its use by corporations. She was named to both the 2019 WIRED25 list of innovators and's list of the 100 most innovative businesswomen in 2019.   Fellows will be honored at an awards banquet in June.

Mark McKelvin wins BEYA Most Promising Engineer in Industry Award

EECS  alumnus Mark Lee McKelvin Jr (M.S.  '05, Ph.D. '11, advisor: Alberto L. Sangiovanni-Vincentelli), has won the 2020 BEYA (Black Engineer of the Year Award) STEM Most Promising Engineer in Industry Award.  The award, which is sponsored by Career Communications Group (publisher of "US Black Engineer and Information Technology magazine") is considered among the most competitive awards in U.S. science, engineering and technology managament.  After graduating, McKelvin worked at Jet Propulsion Laboratory as a software systems engineer for five years before becoming an engineering specialist at the Aerospace Corporation. The award will be presented at the 34th BEYA STEM Conference in February 2020.

Two EECS papers win 2019 ACM SIGPLAN Distinguished Paper Awards

Two papers co-authored by Berkeley EECS authors won ACM SIGPLAN Distinguished Paper Awards at the Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA) 2019.  "Duet: An Expressive Higher-Order Language and Linear Type System for Statically Enforcing Differential Privacy" co-authored by Prof. Dawn Song (Ph.D. '02, advisor: Doug Tygar), graduate student Lun Wang, undergraduate researcher Pranav Gaddamadugu, and alumni Neel Somani (CS B.A.  '19), Nikhil Sharma (EECS B.S. '18/M.S. '19),  and Alex Shan (CS B.A. '18), along with researchers in Vermont and Utah, and "Aroma: Code Recommendation via Structural Code Search" co-authored by Prof. Koushik Sen (along with authors at Facebook and UC Irvine), won two of the five honors awarded at the top programming language conference, part of the ACG SIGPLAN conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH) in October.  

Dawn Song is building a world where data privacy exists online

CS alumna and Prof. Down Song (Ph.D. '02, advisor: Doug Tygar) is the subject of a New York Times article titled "Building a World Where Data Privacy Exists Online."  One of the world’s foremost experts in computer security and trustworthy artificial intelligence, Song founded a startup called Oasis Labs to build a new platform based a paradigm in which people control their data and are compensated for its use by corporations.  She and her colleagues believe that by marrying specialized computer chips and blockchain technology, they can build a system that provides greater scalability and privacy protection.  This year, Song made the Wired25  list top 25 innovators as well as Inc.'s second annual Female Founders 100 list as a "Money Mover."

"Oracle-Guided Component-Based Program Synthesis" wins 2020 ICSE Most Influential Paper Award

The paper "Oracle-Guided Component-Based Program Synthesis," co-authored by alumnus Susmit Jha (M.S./Ph.D. '11), Sumit Gulwani (Ph.D. '05, advisor: George Necula), EECS Prof. Sanjit A. Seshia, and Ashish Tiwari--and part of Susmit Jha's Ph.D. dissertation advised by Sanjit Seshia--will receive the 2020 Most Influential Paper Award by the ACM/IEEE International Conference on Software Engineering (ICSE). ICSE is the premier conference on software engineering and this award recognizes the paper judged to have had the most influence on the theory or practice of software engineering during the 10 years since its original publication. The citation says, in part, that the paper: "...has made a significant impact in Software Engineering and beyond, inspiring subsequent work not only on program synthesis and learning, but also on automated program repair, controller synthesis, and interpretable artificial intelligence."

Using deep learning to expertly detect hemorrhages in brain scans

A computer algorithm co-developed by Vision Group alumnus Weicheng Kuo (Ph.D. '19), post doc Christian Hӓne, their advisor Prof. Jitendra Malik, and researchers at UCSF, bested two out of four expert radiologists at finding tiny brain hemorrhages in head scans, an advance that one day may help doctors treat patients with traumatic brain injuries, strokes and aneurysms.  The algorithm found some small abnormalities that the experts missed, noted their location within the brain, and classified them according to subtype.  The researchers used of a type of deep learning known as a fully convolutional neural network (FCN) to train the algorithm on a relatively small number of images that were packed with data.  Each small abnormality was manually delineated at the pixel level. The richness of this data — along with other steps that prevented the model from misinterpreting random variations, or “noise,” as meaningful — created an extremely accurate algorithm.

Berkeley EECS well represented at Tapia 2019

An outstanding group of students, faculty, staff, and alumni, represented Berkeley EECS at the 2019 ACM Richard Tapia Celebration of Diversity in Computing, which took place in San Diego in September.  Attendees included:  Profs. Dan Garcia and Armando Fox;  staff Audrey Sillers, Antoine Davis, and Sheila Humphreys; alumni Valerie Taylor (Ph.D. '91, advisor David Messerschmitt), Jeff Forbes (Ph.D. '02, advisor: Stuart Russell), Hakim Weatherspoon (Ph.D. '06, advisor: John Kubiatowicz), Colleen Lewis (EECS B.S. '05/CS M.S. '09), Jorge Ortiz (Ph.D. '13, advisor: David Culler), and Beth Trushkowsky (Ph.D. '14, advisor: Armando Fox); and a cadre of current graduate and undergraduate students.  Former EECS Prof. Jennifer Mankoff, who is now at the University of Washington, was a keynote speaker.

A Latinx Heritage Month profile of Dan Garcia

CS alumnus and Teaching Prof. Dan  Garcia (M.S. ' 95, Ph.D. '00, advisor: Brian Barsky) is the subject of a profile celebrating Latinx Heritage Month in the EECS department.  As a Nuyorican whose father was from Puerto Rico, Garcia "always coveted" his Hispanic heritage and actively explored as much of the Latinx culture as he could.  Known to "bring the flavor" to his students before finals, Garcia is particularly passionate about broadening the participation of underrepresented students in computing.

Celebrating Latinx Heritage Month with Armando Fox

CS Prof. and alumnus Armando Fox (Ph.D. '98, advisor: Eric Brewer) is the subject of a profile celebrating Latinx Heritage Month in the EECS community.  Fox is the child of Cuban refugees who taught him to "pave the road" for those who follow.  He was born in New York City and raised in a bilingual and bicultural household where he was cared for by grandparents who did not speak English.  Fox  is known for his engagement with both campus student groups and national professional organizations to promote and support Latinxs in computing.