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.

Michael I. Jordan elected 2021 Foreign Member of the Royal Society

CS Prof. Mike Jordan has been elected a Foreign Member of the Royal Society.  The Royal Society began as an "'invisible college' of natural philosophers and physicians," which opened its first meeting in 1660 with a lecture by acclaimed scientist Christopher Wren.  Their mission is "to recognise, promote, and support excellence in science and to encourage the development and use of science for the benefit of humanity."  Jordan joins an elite group of 8,000 Fellows elected over the past 400 years that includes Isaac Newton (1672), Charles Darwin (1839), Albert Einstein (1921), Stephen Hawking (1974), and EECS Prof. Eli Yablonovitch (2013). Fellows and Foreign members must be nominated by at least two Fellows of the Royal Society, and must have made "a substantial contribution to the improvement of natural knowledge, including mathematics, engineering science and medical science."  Jordan is known as one of the leading figures in machine learning, and one of the world's most influential computer scientists.  New Fellows are formally admitted to the Society at the Admission Day ceremony in July, when they sign the Charter Book and the Obligation of the Fellows of the Royal Society.

2-D semiconductor contact resistances approach the quantum limit

A paper co-authored by Berkeley EECS Prof. Jeffrey Bokor, his postdoc Yuxuan Lin, Berkeley Physics Prof. Alex Zettl, his postdoc Cong Su, and researchers at MIT, among others, describes a more efficient method of connecting atomically thin 2-D materials to other chip elements, making them a more promising alternative to 3-D silicon-based transistors.  The paper, which was published in Nature, is titled "Ultralow contact resistance between semimetal and monolayer semiconductors." It describes how using the element bismuth (in the place of ordinary metals) for connections in monolayer materials can create contact resistances that approach the quantum limit and make it possible to develop smaller devices.  “We resolved one of the biggest problems in miniaturizing semiconductor devices, the contact resistance between a metal electrode and a monolayer semiconductor material,” says Su. "Through this approach," the paper states, "we achieve zero Schottky barrier height, a contact resistance of 123 ohm micrometres and an on-state current density of 1,135 microamps per micrometre on monolayer MoS2; these two values are, to the best of our knowledge, the lowest and highest yet recorded, respectively."

John DeNero named CDSS Associate Dean for Undergraduate Studies

EECS alumnus and Associate Teaching Prof. John DeNero (CS Ph.D. '10, advisor: Dan Klein) has been named the new Associate Dean for Undergraduate Studies in the Division of Computing, Data Science, and Society (CDSS).   DeNero earned a B.S. in Mathematical & Computational Science and Symbolic Systems, and an M.A. in Philosophy, from Stanford before coming to Berkeley.  After receiving his doctorate, he took a job as a Senior Research Scientist at Google where he worked on Google Translate and natural language processing. He came back to campus in 2014 to focus on teaching and education.  His work at Berkeley has centered on facilitating large-scale delivery of computing content, and he co-developed and teaches two of the largest courses on campus: CS 61A and Data 8. He has been honored with the UC Berkeley Distinguished Teaching Award (2018), the Jim and Donna Gray Award for Excellence in Undergraduate Teaching of Computer Science (2017), the Diane S. McEntyre Award for Excellence in Teaching Computer Science (2016), and the Tau Beta Pi Outstanding Faculty of the Year Award (2015).  He has served as the EECS vice chair for undergraduate matters, the chair of the EECS Data Science Degree Committee, and a member of the Data Science Governance Committee.

The Harvard Data Science Review spotlights Berkeley CDSS

The Harvard Data Science Review (HDSR) has thrown a spotlight on UC Berkeley's Division of Computing, Data Science, and Society (CDSS) and its leadership. In "A Conversation with Michael V. Drake and Jennifer Chayes" HDSR takes a comprehensive look at data science at Berkeley from a variety of perspectives.  UC President Drake discusses the role of data in society, and the importance of values and equity as a key part of UC's mission as California's premier public higher educational institution. Chayes, who is the Associate Provost of CDSS and Dean of the School of Information, explores CDSS’s pioneering vision, and the progress being made to build a university-wide entity to help address the opportunities and challenges created by the recent seismic advances in data science and computing.

Alvin Cheung and Somayeh Sojoudi named ONR 2021 Young Investigators

EECS Assistant Profs. Somayeh Sojoudi and Alvin Cheung have received Office of Naval Research (ONR) 2021 Young Investigator Program Awards (YIP). The ONR YIP is one of the nation’s oldest and most selective basic-research, early-career awards in science and technology. It recognizes new-career faculty—who obtained their Ph.D. on or after 2013—for prior academic achievement and their potential to make significant scientific contributions in the future. Sojoudi's award is for "High-performance Computational Methods for Nonlinear Machine Learning Problems" in the area of Machine Learning, Reasoning and Intelligence; Cheung's award is for "A Framework for Automatic Leveraging of Trusted Execution Environments" in the area of Cyber Security and Complex Software Systems. They are among 38 recipients who will share $20M in funding to provide laboratory equipment, postdocs, graduate student stipends/scholarships, and other expenses critical to conducting innovative scientific research that will benefit the U.S. Navy and Marine Corps.

Charles Dalziel's Ground-Fault Circuit Interrupters still make plugging in safer

EE alumnus and Prof. Charles Dalziel (1904-1986, B.S./M.S./E.E. 1935 ), the inventor of the Ground-fault circuit interrupter (GFCI),  is the subject of an article in the California Department of Consumer Affairs (DCA) Spring 2021 Consumer Connection.  Patented in 1965 by Dalziel, a professor in the department for 35 years (1932-1967), GFCIs are built into electrical systems and power cords to monitor the current flowing through them.  If the incoming current differs from the returning current, the GFCI interrupts the power "to prevent a lethal dose of electricity, specifically before the electricity can affect your heartbeat."  Besides protecting users against severe electrical shock, a particular hazard in wet environments, GFCIs prevent surges that can cause electrical fires.  The U.S. National Economic Council (NEC) now mandates GFCI protection in many areas of the home as part of their standards for modern building construction.  The article explores GFCI's importance, their California connection, and how to ensure one's home is up to current safety standards.

Jelani Nelson to participate in event celebrating statistician David Blackwell

EECS Prof. Jelani Nelson will participate on a panel discussing Berkeley's first Black full professor, statistician David Blackwell, on Thursday, April 29, 2021.  Blackwell made seminal contributions to game theory, probability theory, information theory, and Bayesian statistics. He was the first African American inducted into the National Academy of Sciences, and the seventh African American to receive a PhD in Mathematics.  The panel discussion brings together colleagues, students, and friends of Professor Blackwell, who will discuss his invaluable and lasting contributions to the field of Statistics, as well as the role he played in their careers and lives.  They will also explore life in the early days of the Berkeley Department of Statistics.

Anthony Joseph named Director of Fung Institute

EECS Prof. Anthony Joseph has been name the next Director of the Coleman Fung Institute for Engineering Leadership.  After earning his degrees at MIT, Joseph was hired as a professor of Computer Science at Berkeley in 1998. His primary research interests are in Genomics, Secure Machine Learning, Datacenters, mobile/distributed computing, and wireless communications (networking and telephony). His research also includes adaptive techniques for cloud computing, distributed network monitoring and triggering, cybersecurity, and datacenter architectures. He is the former Director of Berkeley Intel Lab, the co-founder of two startup companies, and a committed teacher who has experience developing and teaching five successful massive, open online courses (MOOC) on Big Data and Machine Learning offered through the BerkeleyX platform. Joseph is noted for his commitment to access and inclusion, and has worked to recruit and mentor a diversity of students at the undergraduate and graduate levels.  He will begin his directorship on July 1st.

Ranade, Shrivastava, Monga, Yang, Rampure and Shen win Extraordinary Teaching in Extraordinary Times Awards

EECS alumna and Assistant Teaching Prof. Gireeja Ranade (M.S. '09/Ph.D. '14, advisor: Anant Sahai), and Graduate Student Instructors (GSIs) Ritika Shrivastava, Jay Monga, Maxson Yang, Suraj Rampure and Allen Shen have won UC Berkeley Extraordinary Teaching in Extraordinary Times awards.  They are among 59 people from of pool of over 500 nominees honored at Berkeley by the Academic Senate’s Committee on Teaching for embracing the challenges posed by the 2020 COVID-19 pandemic, and engaging in or supporting excellent teaching. "These instructors and staff used innovative methods and worked beyond their traditional roles to ensure that students remained engaged and supported, and were challenged to do meaningful work under extraordinary circumstances."

Shrivastava, a fall GSI for EECS C106A/206A Introduction to Robotics, provided a warm, supportive, and positive environment for her students, developed new materials, and used tools to promote inclusiveness and overcome technological differences.  Jay Monga, also a fall GSI and lab TA for EECS 106A/206A, helped students with their lab-focused robotics class by creating a video walkthrough and slides demonstrating procedures and assignments, recording a presentation to promote asynchronous instruction, helping to design a more accessible lab, and creating a Discord server for better virtual learning. Yang, who was a summer GSI for CS 10 The Beauty and Joy of Computing,  released a comprehensive student survey to guide course policy and focused on  reducing common stressors (like deadlines), implementing weekly check-ins, and creating ways to improve the students' virtual experience (like memes).  Rampure, who was a fall GSI and summer instructor for Data C100 Principals & Techniques of Data Science, and Shen, who was a fall GSI and summer instructor for CS 186 Introduction to Data Systems, won the award together for teaching two of Berkeley’s flagship undergraduate data science courses.  They introduced new applications of course material, prioritized accessibility in lectures, designed assessments, and used real-world examples to promote engagement. 

Tiny wireless implant detects oxygen deep within the body

CS Prof. and Chan Zuckerberg Biohub investigator Michel Maharbiz is the senior author of a paper in Nature Biotechnology titled "Monitoring deep-tissue oxygenation with a millimeter-scale ultrasonic implant," which describes a tiny wireless implant that can provide real-time measurements of tissue oxygen levels deep underneath the skin. The device, which is smaller than the average ladybug and powered by ultrasound waves, could help doctors monitor the health of transplanted organs or tissue and provide an early warning of potential transplant failure.  “It’s very difficult to measure things deep inside the body,” said Maharbiz. “The device demonstrates how, using ultrasound technology coupled with very clever integrated circuit design, you can create sophisticated implants that go very deep into tissue to take data from organs.”