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.

Enabling robots to learn from past experiences

EECS Prof. Pieter Abbeel and Assistant Prof. Sergey Levine are developing algorithms that enable robots to learn from past experiences — and even from other robots.  They use deep reinforcement learning to bring robots past a crucial threshold in demonstrating human-like intelligence: the ability to independently solve problems and master new tasks in a quicker, more efficient manner.  An article in the Berkeley Engineer delves into the innovations and advances that allow Abbeel and Levine help robots make "good" choices, generalize between tasks, improvise with objects, multi-task, and manage unexpected challenges in the world around them.

Using machine-learning to reinvent cybersecurity two ways: Song and Popa

EECS Prof. and alumna Dawn Song (Ph.D. '02, advisor: Doug Tygar) and Assistant Prof. Raluca Ada Popa are featured in the cover story for the Spring 2020 issue of the Berkeley Engineer titled "Reinventing Cybersecurity."  Faced with the challenge of protecting users' personal data while recognizing that sharing access to that data "has fueled the modern-day economy" and supports scientific research, Song has proposed a paradigm that involves "controlled use" and an open source approach utilizing a new set of principles based on game theory.  Her lab is creating a platform that applies cryptographic techniques to both machine-learning models and hardware solutions, allowing users to keep their data safe while also making it accessible.  Popa's work focuses on using machine-learning algorithms to keep data encrypted in cloud computing environments instead of just surrounding the data with firewalls.  "Sharing without showing" allows sensitive data to be made available for collaboration without decryption.  This approach is made practical by the creation of a machine-learning training system that is exponentially faster than other approaches. "So instead of training a model in three months, it takes us under three hours.”

Pieter Abbeel and Sergey Levine: teaching computers to teach themselves

EECS Prof. Pieter Abbeel and Assistant Prof. Sergey Levine both appear in a New York Times article titled "Computers Already Learn From Us. But Can They Teach Themselves?" which describes the work of scientists who "are exploring approaches that would help machines develop their own sort of common sense."  Abbeel, who runs the Berkeley Robot Learning Lab, uses reinforcement-learning systems that compete against themselves to learn faster in a method called self-play.  Levine, who runs the Robotic AI & Learning Lab, is using a form of self-supervised learning in which robots explore their environment to build a base of knowledge.

Susan Graham: the sole woman professor in Berkeley EECS for 17 years

CS Prof. Emerita Susan Graham, the first and only woman professor in the EECS department for 17 years,  is the subject of a profile in the Daily Cal in honor of the 150th anniversary of women at Berkeley.  Graham arrived in the CS department (then part of the College of Letters & Science) in 1971, became the first woman professor in the College of Engineering in 1973 when the CS department merged with the EECS department, and remained the only woman on the EECS faculty until the arrival of Avideh Zakhor in 1988.  Graham, who played a key role in the development of Berkeley Unix, is known for her work in software tools, programming language implementation, high-performance computing and software development environments.  She is the "Ace of Diamonds" in the "Notable Women in Computing" playing cards and appears in the "Notable Women in Tech" online solitaire game.

Yi Ma elected 2020 SIAM Fellow

EE Prof. in Residence Yi Ma has been selected to be a 2020 Fellow of the Society for Industrial and Applied Mathematics (SIAM).    SIAM Fellows are members of SIAM "who have made outstanding contributions to fields" served by the SIAM community.  Ma was recognized "for contributions to the theory and algorithms for low-dimensional models and their applications in computer vision and image processing."

Arthur Gill has passed away

EECS Prof. Emeritus  and alumnus Arthur Gill (Ph.D. '59, advisor: Aram Thomasian) died on March 21, 2020, at the age of 90.  Gill joined the EECS faculty in 1960, just after earning his doctorate, and was one of the first professors at Berkeley to hold positions in both EE and CS before the formation of the EECS department in 1968.   His research focused on network analysis and synthesis, communication theory, system theory, and computer science.  He was an active member of the Electronics Research Laboratory for the duration of his 30 year career, and Assistant Dean for Undergraduate Affairs in the College of Engineering from 1981 to 1991.  He was the first faculty ‘supervisor’ of the Computer Science Reentry Program, an early, innovative, and successful effort to increase the number of women and minority students studying CS at Berkeley.  Gill is survived by his children, Jonathan and Leori Gill, their children and grandchildren, and his long-time partner in life and travel, Marijke Van Doorn (widow of EECS Prof. Eugene Lawler).

Chenming Hu donates IEEE Medal of Honor winnings to EECS department

EE Prof. and alumnus Chenming Hu (M.S. '70, Ph.D. '73), who won the 2020 IEEE Medal of Honor, has chosen to donate his $50K prize to the EECS department.   Hu, who was cited “for a distinguished career of developing and putting into practice semiconductor models, particularly 3D device structures, that have helped keep Moore’s Law going over many decades," is also the subject of an IEEE Spectrum article.  He was hired on the Berkeley faculty in 1976 and has been called the "Father of the 3D Transistor" due to his development of the Fin Field Effect Transistor in 1999.  Intel, the first company to implement FinFETs in its products, called the invention the most radical shift in semiconductor technology in more than 50 years.

Women In Tech at Berkeley

The 4th Annual Women In Tech Symposium, part of the Women In Tech Initiative (WITI) will be held at UC Berkeley on Friday, March 6, 2020.  The theme will be "Reimagining Cybersecurity for All."  Many members of the EECS community will be involved, including: alumna and Prof. Dawn Song (PhD '02) - opening remarks; WITI@UC co-founder and dean of Engineering Prof. Tsu-Jae King Liu - fireside chat; Prof. Raluca Ada Popa - Panel: What’s at Stake? Global and Systemic Cyber Threats;  and CITRIS Director Prof. Costas Spanos - Athena Awards presentation. Tickets will be available until Monday, March 2nd.

Microrelays: On the path to making bigger quantum computers

Research on Microrelays presented at the IEEE International Electron Devices Meeting (IEDM) by Prof. Tsu-Jae King Liu and alumna/graduate student, Xiaoer Hu (M.S. '18), is highlighted in an IEEE Spectrum article titled "4 Ways to Make Bigger Quantum Computers."  It is difficult to scale quantum computers because quantum-computer processors must operate inside cryogenic enclosures at near absolute zero, but the electronics needed for readout and control don’t work at such temperatures and must reside outside the refrigerator.  King Liu and Hu have developed micrometer-scale electromechanical relays as ultralow-power alternatives to transistors that operate better when cooled to 4 kelvins than at room temperature.  Freezing temperatures solve two of the mechanical problems the devices encounter:  the reaction of ambient oxygen on electrode surfaces, and the way that microscale relays tend to stick together.  “We didn’t suspect ahead of time that these devices would operate so well at cryogenic temperatures,” says King Liu. “In retrospect, we should have.”

Negative Capacitance research highlighted in celebration of 100 Years of Ferroelectricity

Negative Capacitance, a field of research pioneered by EECS Prof. Sayeef Salahuddin, is featured in a Nature Materials article celebrating "A century of ferroelectricity."  Ferroelectricity is a characteristic of certain materials which have a spontaneous electric polarization that can be reversed by the application of an external electric field. Ferroelectric capacitors are used in sensor applications, like Ultrasound.  To highlight examples of recent advances in the field, the article references a 2008 paper co-written by Salahuddin, which proposed that negative capacitance could be used to provide voltage amplification and was observed in thin ferroelectric films.