Campus Shutdown 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.

Jake Tibbetts and SIGNAL win 2019 SGS&C Best Student Game

Computer Science and Global Studies double major, Jake Tibbetts, and the UC Berkeley Project on Nuclear Gaming (PONG) were awarded Best Student Game at the 2019 Serious Games Showcase and Challenge (SGS&C) for their work on SIGNAL.  SIGNAL is an online three-player experimental wargame in which three countries, some armed with nuclear weapons, attempt to achieve national goals through diplomacy and conflict.  It is designed to help understand the impact of emerging technologies on strategic stability and nuclear risk reduction. Tibbetts, who specializes in Peace and Conflict Studies, is a member of the Nuclear Science and Security Consortium (NSSC), a five-year program to develop a new generation of laboratory-integrated nuclear experts.  SGS&C is the premier venue for recognition of excellence in the field of Serious Games development.

Robot BLUE named one of 100 greatest innovations of 2019

An affordable, human-friendly robot developed by EECS Prof. Pieter Abbeel and Project Blue is among Popular Science’s “Best of What’s New” innovations for 2019.  BLUE (Berkeley robot for Learning in Unstructured Environments) uses artificial intelligence and deep reinforcement learning algorithms to adapt to and operate safely in unpredictable settings, including the common household.  The list is  Popular Science's ranking of the year’s top 100 technologies and products, which highlight feats of engineering, breakthrough software and other acclaim-worthy discoveries from the past year.  BLUE is projected to ship to consumers in the next few years,

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.

Jaijeet Roychowdhury and Tianshi Wang win 2019 Nokia Bell Labs Prize

EECS Prof. Jaijeet Roychowdhury and his graduate student Tianshi Wang have won First Place in the 2019 Nokia Bell Labs Competition for their work on  “A Classical Spin on Quantum Computing.”  The pair have created a new type of processor element that will be significantly more efficient in computing the answers to discrete optimization problems. Their innovation will complement conventional digital processors (CPUs and GPUs) by efficiently tackling a wide range of computationally hard problems of importance in many diverse areas, including 5G communication systems; complex tasks in planning, scheduling and control; and even the discovery of new drugs.  The first place finish comes with a prize of $100K.

Prof. Chenming Hu

Chenming Hu wins 2020 IEEE Medal of Honor

EECS Prof. Chenming Hu has been awarded the 2020 IEEE Medal of Honor, the highest honor awarded by the Institute of Electrical and Electronics Engineers (IEEE).  The medal is presented when "a candidate is identified as having made a particular contribution that forms a clearly exceptional addition to the science and technology of concern to IEEE."  Hu, whose seminal work on metal-oxide semiconductor MOS reliability and device modeling has had enormous impact on the continued scaling of electronic devices, was cited for “For a distinguished career of developing and putting into practice semiconductor models, particularly 3-D device structures, that have helped keep Moore’s Law going over many decades.”  He won the National Medal of Technology and Innovation in 2016 and was named to the Silicon Valley Engineering Hall of Fame in 2017.

Michael Jordan wins 2020 IEEE John von Neumann Medal

CS Prof. Michael I. Jordan has won the prestigious John von Neumann Medal from the Institute of Electrical and Electronics Engineers (IEEE).  The award was established in 1990 to acknowledge "outstanding achievements in computer-related science and technology."    Jordan, who was ranked as the world's most influential computer scientist in 2016 by Science magazine, was cited for "For contributions to machine learning and data science."  Jordan began developing recurrent neural networks as a cognitive model in the 1980s, was prominent in the formalisation of variational methods for approximate inference, and popularised both the expectation-maximization algorithm and Bayesian networks among the machine learning community.  Jordan is the fifth Berkeley CS faculty member to win this award.

Katherine Yelick wins Outstanding Leadership in HPC Award

EECS Prof. Katherine Yelick was honored with an HPCwire Editor’s Choice Award for Outstanding Leadership in HPC at the 2019 International Conference for High Performance Computing, Networking, Storage and Analysis (SC19).  Yelick, who serves as the Associate Laboratory Director for Computing Sciences at Lawrence Berkeley National Laboratory (Berkeley Lab) and who was the director of the National Energy Research Scientific Computing Center (NERSC)  from 2008 to 2012,  is widely recognized for her leadership in research to improve the programmability of high performance computing (HPC) through innovations to programming languages and runtime systems.  Her contributions to design and compiler research were key to the success of patrician global address space (PGAS) for expressing applications with irregular communication patterns on parallel machines, and she is well known for co-inventing the Unified Parallel-C and Titanium languages.

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.

Ashwin Pananjady wins inaugual IMS Lawrence Brown PhD Student Award

EECS graduate student Ashwin Pananjady (advisors: Martin Wainwright and Thomas Courtade) is one of the three inaugural recipients of the Institute of Mathematical Statistics (IMS) Lawrence D. Brown PhD Student Award.  Pananjady, who studies fundamental problems spanning statistics, information theory, optimization, and machine learning, will present his research at a special invited session during the 10th World Congress in Probability and Statistics (WC2020), to be held in Seoul, Korea, next year.

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.