News

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.

Ruzena Bajcsy wins 2021 IEEE Medal For Innovations In Healthcare Technology

EECS Prof. Ruzen Bajcsy has won the 2021 Institute of Electrical and Electronics Engineers (IEEE) Medal For Innovations In Healthcare Technology.  The award is presented "for exceptional contributions to technologies and applications benefitting healthcare, medicine, and the health sciences."  Bajcsy, who has done seminal research in the areas of human-centered computer control, cognitive science, robotics, computerized radiological/medical image processing and artificial vision, was cited “for pioneering and sustained contributions to healthcare technology fundamental to computer vision, medical imaging, and computational anatomy.” In addition to her significant research contributions, Bajcsy is also known for her leadership in the creation of the University of Pennsylvania's General Robotics and Active Sensory Perception (GRASP) Laboratory, globally regarded as a premiere research center.  She is especially known for her comprehensive outlook in the field, and her cross-disciplinary leadership in successfully bridging the once-diverse areas of robotics, artificial intelligence, engineering and cognitive science.  EECS Prof. Thomas Budinger previously received the Health Care Innovations medal in 2018.

Michael Jordan wins 2021 AMS Ulf Grenander Prize

CS Prof. Michael I. Jordan has been awarded the 2021 American Mathematical Society (AMS) Ulf Grenander Prize in Stochastic Theory and Modeling.   The prize, which was established in 2016, recognizes "exceptional theoretical and applied contributions in stochastic theory and modeling." It is awarded for "seminal work, theoretical or applied, in the areas of probabilistic modeling, statistical inference, or related computational algorithms, especially for the analysis of complex or high-dimensional systems." Jordan, who has a split appointment in Statistics, was cited for "foundational contributions to machine learning, especially unsupervised learning, probabilistic computation, and core theory for balancing statistical fidelity with computation."  He is known for his work on recurrent neural networks as a cognitive model in the 1980s, formalizing various methods for approximate interference, and popularizing Bayesian networks and the expectation-maximization algorithm in machine learning.  The prize is awarded every three years, making Jordan the second recipient of the honor.

EECS 150W: Cecilia Aragon

2013's CS Distinguished Alumna, Cecilia Aragon (M.S. '87/Ph.D. '04, advisors: Shankar Sastry and Marti Hearst), the first Latina pilot on the United States Unlimited Aerobatic Team, and the first Latina full professor at the University of Washington, is the subject of an EECS 150W profile by Sheila Humphreys.  The child of immigrants, Aragon dreamed of one day becoming a professor.  By the time she had earned her Master's degree , however, her self-confidence had taken a beating from years of racist and sexist antagonism, and she needed to take some time off. She learned to fly, joined the US Unlimited Aerobatic Team, and helped bring home a world championship medal.  She returned to Berkeley invigorated, and became an expert in human-centered data science.  She currently holds multiple appointments at the University of Washington, remains actively engaged in efforts to support women and other underrepresented groups in computing, and has recently published a memoir.   Learn more about Cecilia's journey.

150W: Bin Yu's "most successful failure"

EECS Prof. Bin Yu is the subject of a 150W profile by the Department of Statistics, where she holds a joint appointment. Yu found refuge from the tumult of Mao Tse Tung's Cultural Revolution in the orderly tables of a math textbook.  Although she placed first in the math section of the graduate school entrance exam, she failed to be accepted as a pupil by the professor she hoped to work with at Peking University because she was a woman.  As a result of this difficult rejection, she switched to studying probability and statistics, where a new world of new opportunities opened to her.  The profile covers Bin Yu's journey from her childhood in China to her days as a graduate student at UC Berkeley,  a career in both academia and industry on the east coast, her return to Berkeley as a professor, and her important contributions to the field of data science.  150W is the year-long celebration of 150 years of women at UC Berkeley. 

Dawn Song wins 2020 ACM SIGSAC Outstanding Innovation Award

CS Prof. and alumna Dawn Song (Ph.D. '02, advisor: Doug Tygar) has won the 2020 ACM Special Interest Group on Security, Audit and Control (SIGSAC) Outstanding Innovation Award.  This award recognizes "outstanding and innovative technical contributions to the field of computer and communication security that have had lasting impact in furthering or understanding the theory and/or development of commercial systems."  Song was cited "for contributions to systems and software security, in particular, dynamic taint analysis for vulnerability discovery and malware detection."  She pioneered the BitBlaze Binary Analysis Infrastructure, a unified binary program analysis platform used to provide novel solutions to computer security problems, including automatic vulnerability discovery and defense, in-depth malware analysis, and automatic extraction of security models for analysis and verification.

Ali Niknejad wins 2020 SIA University Research Award

EECS alumnus and Prof. Ali Niknejad (M.S. '97/Ph.D. '00, advisor: Robert Meyer) has won the 2020 Semiconductor Industry Association (SIA) University Research Award.  This award recognizes researchers in both technology and design who have made “a lifetime of great impact to the semiconductor industry.”  Niknejad was cited for “noteworthy achievements that have advanced analog, RF, and mm-wave circuit design and modeling, which serve as the foundation of 5G+ technologies.”  Stanford ME Prof. Kenneth Goodson also won the award this year.  “Research is the engine of innovation in the semiconductor industry, enabling breakthroughs that power our economy and help solve society’s great challenges,” said John Neuffer, SIA president and CEO. “The work of Drs. Goodson and Niknejad has greatly advanced chip technology and helped keep America at the leading edge of innovation.”  Niknejad, who previously received the 2012 ASEE Frederick Emmons Terman Award for his textbook on electromagnetics and RF integrated circuits, will accept the SIA award during the 2020 SIA Leadership Forum and Award Celebration on November 19th.

Natacha Crooks wins 2020 ACM SIGOPS Dennis M. Ritchie dissertation award

CS Assistant Prof. Natacha Crooks has won the 2020 ACM Special Interest Group on Operating Systems (SIGOPS) Dennis M. Ritchie dissertation award for her thesis titled "A Client-Centric Approach to Transactional Datastores."  The award, which recognizes creative research in software systems, was bestowed upon a dissertation which a colleague described as "a landmark, with deep and beautiful results in transactions and distributed consistency, and systems that exploit them."  The award committee commented that "Natacha Crooks’ thesis achieves something rare: a new conceptual framework for client-centric consistency and two efficient systems built on those insights. The document for this attractive package is accessible (in part) to undergraduates and the advanced material is very clearly written. With the enduring popularity of consistency as a research topic in distributed systems for the past several decades it is surprising that a breakthrough as large as Natacha’s took as long as it did."  The work was done at the University of Texas, Austin, advised by Lorenzo Alvisi and Simon Peter.

Progress update: E3S 2019 Transfer-to Excellence program

The Center for Energy Efficient Electronics Science (E3S) Transfer-to-Excellence (TTE) research program is a competitive merit-based program that offers California community college students research opportunities at Berkeley in an effort to encourage them to transfer to a university to purse a Bachelor's degree in science and engineering.  A review of the current activities of the 2019 TTE cohort, whose members received ongoing mentorship over the past year through the TTE online mentoring program, shows that all of the interns are enrolled in science or engineering academic programs and working towards a Bachelor’s degree.  Among them:

Jared Brown (TTE project advisor: EECS Prof. Sayeef Salahuddin), who transferred from Los Angeles Pierce College to UCLA to study mechanical engineering, and is active in the UCLA Samueli Center for Excellence in Engineering and Diversity; Jose Camacho (advisor: EECS Prof. Ming Wu), who transferred from Los Angeles Trade Technical College to  UC San Diego to study Electrical Engineering; Saifuddin Mohammed (advisor: EECS Chair Jeff Bokor), who transferred from Foothill College to UC Berkeley to study EECS after having received the award for best engineering poster presentation at the 2019 SACNAS Diversity in STEM conference, and completing a research internship at LBNL;  current EECS undergrad Harutyun Rehanyan (advisor: ME Prof. Shawn Shadden), who transferred to Berkeley from Los Angeles Valley College after completing a research internship at Cal State Northridge, a software engineering internship with NASA JPL, and summer research at CMU’s Institute for Software Research; and current EECS undergrad Dao Dai (David) Tran (advisor: ME Prof. Shawn Shadden), who transferred from Orange Coast College to Berkeley after completing a software engineering internship at NASA JPL and a research internship at the University of Maryland in machine learning and artificial intelligence.

New "spin-orbit torque" switching technique breaks magnetic memory speed record

EECS Chair Jeffrey Bokor is among an international team of researchers who have published a paper in the journal Nature Electronics that describes a new technique for magnetization switching — the process used to “write” information into magnetic memory — that is nearly 100 times faster than state-of-the-art spintronic devices. The advance could lead to the development of ultrafast magnetic memory for computer chips that would retain data even when there is no power.  In "Spin–orbit torque switching of a ferromagnet with picosecond electrical pulses," researchers report using extremely short, 6-picosecond electrical pulses to switch the magnetization of a thin film in a magnetic device with great energy efficiency. A picosecond is one-trillionth of a second.  The project began at UC Berkeley when Jon Gorchon, now a researcher at the French National Centre for Scientific Research (CNRS) working at the University of Lorraine L’Institut Jean Lamour in France, and Richard Wilson, now assistant professor of both mechanical engineering and materials science & engineering at UC Riverside, were postdoctoral researchers in Bokor’s lab.

GRE-blind graduate admissions, expanded fee waivers highlight EECS focus on equity and diversity

As the largest department at UC Berkeley, Electrical Engineering and Computer Sciences (EECS) [over 130 faculty, 730 graduate students, and 3,450 undergraduates] has long recognized the challenge of attracting, admitting, and graduating doctoral students who will enrich the diversity of the field.

In the context of the recently heightened awareness of the damage caused by structural racism nationwide, Black student leaders, among others, have suggested a number of improvements to address racial climate challenges and other sources of inequity in the department. In response, EECS has stepped up its equity and inclusion efforts in all aspects of Department operations—teaching, research, graduate student recruitment and retention, and faculty recruitment and retention.   A task force, consisting of student leaders, faculty, staff, and Department leadership, has been assembled to provide continuity and accountability across all our diversity efforts on an ongoing basis, particularly efforts to address racism and social justice in EECS.

In response to growing concerns that hurdles created by the COVID-19 pandemic would further disadvantage applicants who do not have equal access, the Department has decided to completely remove the GRE (Graduate Record Examination) from consideration for graduate applicants for 2021 admission. This decision is consistent with a number of our peer institutions in the Diversifying Future Leadership in the Professoriate (FLIP) Alliance.  According to data collected by the Black In AI mentoring program, co-founded by new Berkeley EECS faculty member Rediet Abebe, many qualified candidates do not actually apply to many graduate programs due to the financial and logistical burdens of taking the exam and submitting scores. Next Spring, EECS will review the impact of this decision on graduate applications and admissions for 2021, and then make a decision regarding GRE use for Fall 2022 and subsequent years.

In addition, fee waivers for application to graduate school have been expanded across campus to allow more students to afford an application to Berkeley. The Department hopes these efforts will attract more talented minority students to apply, and will determine how effective these measures  have been during the 2020-2021 admissions cycle.