Campus Reopening Notice

Starting June 16th, vaccinated EECS faculty, staff, and students can voluntarily return to their offices, labs and other research spaces in Cory and Soda Halls if they follow the procedures outlined in the EECS Safety Manual.  Building restrictions for non-affiliated collaborators, event attendees, and visitors will continue but be loosened over time. Cory and Soda Halls will open during the first week in August.  We are not hosting events or activities until we receive more clarity about regulatory requirements and are able to resume full operations. Most employees will return to campus on July 12th, and in-person instruction will resume for the Fall semester on August 25th, unless otherwise specified by campus. Please continue to check the University Coronavirus Updates and Resources for latest information.

Google Doodle honors Lotfi Zadeh, father of fuzzy logic

EECS Prof. Emeritus Lotfi Zadeh (1921 - 2017) is being honored with a Google Doodle feature today.  In 1964, Zadeh conceived a new mathematical concept called fuzzy logic which offered an alternative to rigid yes-no logic in an effort to mimic how people see the world.  He proposed using imprecise data to solve problems that might have ambiguous or multiple solutions by creating sets where elements have a degree of membership. Considered controversial at the time, fuzzy logic has been hugely influential in both academia and industry, contributing to, among other things, "medicine, economic modelling and consumer products such as anti-lock braking, dishwashers and elevators."   Zadeh's seminal paper, "Fuzzy Sets -- Information and Control," was submitted for publication 57 years ago today.

Pravin Varaiya wins 2022 IEEE Simon Ramo Medal

EECS Prof. Emeritus and alumnus Pravin Varaiya (Ph.D. 1966, advisor: Lotfi Zadeh), who is currently a Professor in the Graduate School, has won the 2022 IEEE Simon Ramo Medal.  This major IEEE Corporate Award recognizes "exceptional achievement in systems engineering and systems science." Varaiya, who is known for his contributions to stochastic control, hybrid systems and the unification of theories of control and computation, was cited “for seminal contributions to the engineering, analysis, and design of complex energy, transportation, and communication systems.”

Rose Abramson wins EPE 2021 Young Author Best Paper Award

EECS graduate student Rose A. Abramson (advisor:  Robert Pilawa-Podgurski) has won the European Power Electronics and Drives Association (EPE) 2021 Young Author Best Paper Award.   Her paper, “A High Performance 48-to-8 V Multi-Resonant Switched-Capacitor Converter for Data Center Applications,” co-authored by EECS alumnus Zichao Ye (Ph.D. '20) and Prof. Robert Pilawa-Podgurski, was presented during the EPE 2020 ECCE Europe conference.  Abramson, whose research focuses on power electronics and energy, received her B.S. in 2015 and her M.Eng. in 2016, both from MIT, and worked as a project electronics engineer at both Nucleus Scientific and Lutron Electronics before coming to Berkeley.   EPE Awards honor outstanding achievements in power electronics and more generally in the field of EPE activities.

Xiaoye Li and Richard Vuduc win 2022 SIAG/SC Best Paper Prize

CS alumni Xiaoye Sherry Li (Ph.D. '96, advisor: James Demmel) and Richard Vuduc (Ph.D. '03, advisor: James Demmel) have, along with Piyush Sao of Georgia Tech, won the 2022 Society for Industrial and Applied Mathematics (SIAM) Activity Group on Supercomputing (AG/SC) Best Paper Prize.  This prize recognizes "the author or authors of the most outstanding paper in the field of parallel scientific and engineering computing published in English in a peer-reviewed journal." Their paper, "A communication-avoiding 3D algorithm for sparse LU factorization on heterogeneous systems,” was published in 2018 in the IEEE International Parallel and Distributed Processing Symposium (IPDPS).  Li is now a Senior Scientist at Lawrence Berkeley National Laboratory (LBNL) where she works on diverse problems in high performance scientific computations, including parallel computing, sparse matrix computations, high precision arithmetic, and combinatorial scientific computing.  Vuduc, now an Associate Professor in the School of Computational Science and Engineering at Georgia Tech, is interested in high-performance computing, with an emphasis on algorithms, performance analysis, and performance engineering.

Medha Kothari talks Blockchain for the People

CS alumna Medha Kothari (B.A. '20) is featured in an episode of California magazine's The Edge podcast titled "Blockchain for the People."  While still a student, Kothari, who is currently a Research Partner at Variant, founded she256, a non-profit that "aims to increase diversity and break down barriers to entry in the blockchain space."  She discusses what blockchain is and why it has the potential to be a fairer technology "that can change the world."  Produced by the Cal Alumni Association, The Edge podcast series explores "cutting-edge ideas in science, tech, and society coming out of UC Berkeley."

UC Berkeley Announces Intel oneAPI Center of Excellence for Deep Learning

Berkeley EECS is happy to announce the launch of the Center for Energy Efficient Deep Learning (CEEDL), a new Intel oneAPI Center of Excellence (CoE) with Prof. Kurt Keutzer as Principal Investigator and Prof. Joey Gonzalez as co-PI. This center will focus on producing energy-efficient algorithms and implementations for deep learning’s most computationally-intensive workloads. As computing grows to become an increasingly significant portion of an organization’s energy budget, deep-learning workload compute demands are also becoming insatiable. The CEEDL’s charter includes developing energy-efficient algorithms for challenging workloads such as training recommendation systems and natural language understanding systems. The center will use the oneAPI Deep Neural Network Library (oneDNN) and the oneAPI Collective Communications Library (oneCCL) to optimize this work. While high-level algorithms are useful, these algorithms must be implemented on an ever-increasing variety of computational platforms to be impactful. oneAPI’s open, unified heterogeneous programming will significantly ease the development of portable implementations across multiple types of architectures: CPUs, GPUs, FPGAs, and other accelerators.

CDSS and Cal Performances present: "Place and Displacement: Bias in Our Algorithms and Society"

The Division of Computing, Data Science, and Society (CDSS) is excited to announce an upcoming event in collaboration with Cal Performances. On October 28, "Place and Displacement: Bias in Our Algorithms and Society" will feature Cal Artist-in-Residence Angélique Kidjo in conversation with CDSS Associate Provost Jennifer Chayes, EECS Assistant Professor Nika Haghtalab and Computer Science PhD Student Devin Guillory (advisor: Trevor Darrell). The group will discuss the intersection of artificial intelligence and art, computing tools' reflection of the biases of the people and data used to train them, and promising interventions that could make algorithms more just.  The event, which is free and open to the public, will be held in person at Zellerbach Hall from 4:00 to 5:30 pm PST on Thursday, October 28. It will also be live-streamed. Registration is required and now open!

Zichao Ye presents PELS Ph.D. Thesis Talk

EECS graduate student Zichao Ye (advisor: Robert Pilawa-Podgurski) is among five winners selected by the IEEE Power Electronics Society (PELS) to showcase their Ph.D. projects to the global power electronics community.  Ye's thesis, titled "Hybrid Switched-Capacitor Power Converters: Fundamental Limits and Design Techniques," focuses on a topological effort to drastically improve the performance of existing power electronics using a hybrid approach, in which both inductors and capacitors are used in the voltage conversion and power transfer process.  During his presentation in April, Ye highlighted one of his hybrid converter designs:  a 48V-to-12V cascaded resonant converter for more efficient data center which demonstrated 99% peak system efficiency and 2500 W/in3 power density.  PELS Thesis (P3) Talk Award winners are chosen by the PELS Education Digital Media Committee during an annual competition.

professor ruzena bajcsy

Ruzena Bajcsy wins PAMI Azriel Rosenfeld Lifetime Achievement Award

EECS Prof. Emerita Ruzena Bajcsy has won the PAMI Azriel Rosenfeld Lifetime Achievement Award.  This award is presented biennially by the IEEE Computer Society Technical Committee for Pattern Analysis and Machine Learning (TCPAMI) to honor outstanding "researchers in Computer Vision who have made major contributions to the field over their career and who have influenced the field in an extraordinary way."  Bajcsy founded the pioneering General Robotics, Automation, Sensing, and Perception (GRASP) Lab in the Department of Computer and Information Science at the University of Pennsylvania in 1978.  The GRASP Lab was one of the first groups to foster interdisciplinary research between computer and cognitive scientists, electrical and mechanical engineers, and psychologists.  Her robotics research focused on computer vision, tactile perception, and the problem of system identification. Her work in medical imaging involved coupling a digital anatomy atlas with elastic matching algorithms in order to automatically identify anatomic structures of the brain.  This now standard technology was first used in X-ray tomography and later with MRI and positron image tomography.  At Berkeley, Bajcsy was the founding director of the Center for Information Technology Research in the Interest of Society (CITRIS) in 2001, a collaboration between four University of California campuses.   Before coming to Berkeley, she headed the NSF Computer and Information Science and Engineering Directorate.  EECS Prof. Jitendra Malik, one of the speakers at ICCV 2021 where the award was announced, said "Ruzena has been a pioneer in so many ways, with her work on active perception, medical image analysis, robotics and her mentorship of generations of researchers in whom she has inculcated the highest of values. Her career is full of many, many 'firsts.'"

Stewart Russell selected as 2021 BBC Reith Lecturer

CS Prof. Stewart Russell has been selected as the 2021 BBC Reith Lecturer.  Considered among the most prestigious lecture series across all fields, Reith Lectures are delivered annually by leading authorites invited by the BBC "to advance public understanding and debate about significant issues of contemporary interest."   Russell will deliver four lectures this fall, held in four locations across the UK, on the subject of "Living With Artificial Intelligence." The series, which will be and broadcast on Radio 4 and the World Service as well as made available on BBC Sounds, will "explore the impact of AI on our lives and discuss how we can retain power over machines more powerful than ourselves."  The first lecture, titled "The Biggest Event in Human History," will be held in London and will cover the birth of AI; the second lecture, in Manchester, will cover "AI in Warfare;" the third, in Ediburgh, will cover "AI in the Economy;" and the final lecture, in Newcastle, is titled "AI: A Future for Humans?"  Russell, who is the Director of the Berkeley Center for Human-Compatible AI, has developed a new global seismic monitoring system for the nuclear-test-ban treaty and is currently working to ban lethal autonomous weapons.  His book "Artificial Intelligence: A Modern Approach" is the standard text in AI, used in 1500 universities in 135 countries.