News

Barbara Simons to be awarded Athena Lifetime Achievement Award

2005 CS Distinguished Alumna Barbara Simons (Ph.D. '81) will be receiving the Athena Lifetime Achievement Award at the CITRIS Women in Tech Symposium on Friday, 11/16.  Simons, who is a past president of the Association for Computing Machinery (ACM), is board chair of Verified Voting, a non-partisan organization that advocates for reliable and secure voting practices.  She is the author of “Broken Ballots: Will Your Vote Count?” and is a long-time champion for programs to increase diversity in computer science and engineering.  She will not be able to attend the conference but will make an appearance in a short video.

IP paper wins 2018 ACM SenSys Test of Time Award

A paper written by CS Prof. David Culler and alumnus Jonathan Hui (M.S. '05/Ph.D. '08) in 2008 titled "IP is Dead, Long Live IP for Wireless Sensor Networks" has won the Association of Computing Machinery (ACM) Conference on Embedded Networked Sensor Systems (SenSys) 2018 Test of Time Award.  The paper dispelled the notion that IP cannot run on wireless embedded sensors and made a long term impact  on standards like 6LoWPAN and platforms like Thread.  The award recognizes papers that are at least 10 years old and have had long lasting impact on networked embedded sensing system science and engineering.  Culler previously won this award in both 2014 and 2015.

"Graphical Lasso and Thresholding" wins 2018 Data Mining Best Paper Award

A paper titled “Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions” by IEOR PhD candidate Salar Fattahi and EE Assistant Prof. Somayeh Sojoudi has won the 2018 Institute for Operations Research and the Management Sciences (INFORMS) Data Mining (DM) Best Paper Award.   The paper compares the computationally-heavy Graphical Lasso (GL) technique, a popular method for learning the structure of an undirected graphical model, with a numerically-cheap heuristic method that is based on simply thresholding the sample covariance matrix.  By analyzing the properties of this conic optimization problem, the paper shows that its true complexity is indeed linear (both in time and in memory) for sparse graphical models and solves instance as large as 80,000×80,000 (more than 3.2 billion variables) in less than 30 minutes on a standard laptop computer, while other state-of-the-art methods do not converge within 4 hours.  The award recognizes excellence among DM members, particularly its student members, and was announced at the INFORMS Annual Meeting in Phoenix, Arizona, on November 5th.

In the Age of A.I., Is Seeing Still Believing?

EE Profs. Hany Farid and Alyosha Efros, the class CS 194-26—Image Manipulation and Computational Photography, and grad students Shiry Ginosar, Deepak Pathak, Angjoo Kanazawa, Richard Zhang, Jacob Huh and Tinghui Zhou are profiled in a New Yorker article titled "In the Age of A.I., Is Seeing Still Believing?" about how advances in digital imagery could deepen the fake-news crisis—or help us get out of it.  Farid is an expert in photo-forensics who "trained" a neural network to pick out numbers in the pixels of a degraded image of a license plate.  Efros pioneered a method for intelligently sampling bits of an image and probabilistically recombining them so that a texture could be indefinitely and organically extended (known in Photoshop as "content-aware fill").   True realism, Efros said, requires “data, data, data” about “the gunk, the dirt, the complexity of the world,” which is best gathered by accident, through the recording of ordinary life.

Alberto Sangiovanni-Vincentelli wins ACM SIGDA Pioneering Achievement Award

EE Prof. Alberto Sangiovanni-Vincentelli has won the 2018 Association of Computing Machinery (ACM) Special Interest Group on Design Automation (SIGDA)  Pioneering Achievement Award.   This award honors a person for a lifetime of outstanding contributions within the scope of electronic design automation, as evidenced by ideas pioneered in publications, industrial products, or other relevant contributions. The award is based on the impact of the contributions throughout the nominee’s lifetime.  Sangiovanni-Vincentelli is known for his contributions to cyber-physical systems and design automation.  He co-founded  two companies in the field: Cadence Design Systems and Synopsys, Inc.

Teresa Meng wins ACM SIGMOBILE Outstanding Contribution Award

EECS alumna Theresa H. Meng (M.S. '85/Ph.D. '88 advisor: David Messerschmitt) has won the 2018 Association of Computing Machinery (ACM ) SIGMOBILE Outstanding Contribution Award.  This award is given for significant and lasting contributions to the research on mobile computing and communications and wireless networking.  Meng, who is a Professor Emerita at Stanford University and founder of Atheros Communications Inc., was cited "for groundbreaking research, engineering and entrepreneurial leadership to make Wi-Fi faster, lower power, and lower cost."

Berkeley announces transformative Division of Data Science and Information

UC Berkeley today announced its plan to form a new interdisciplinary academic unit to coordinate and foster the growth of various programs related to informatics — which encompasses computing as well as societal implications of information technologies — across the campus. This new unit, provisionally named the Division of Data Science and Information, will provide a framework to facilitate collaborations between researchers from different disciplines.  A global search has begun for a new associate provost to head the new division beginning on July 1, 2019.   

Machine Learning to Help Optimize Traffic and Reduce Pollution

CS Prof. Alexandre Bayen, the director of the Institute of Transportation Studies,  is leading a traffic-smoothing project dubbed CIRCLES (Congestion Impact Reduction via CAV-in-the-loop Lagrangian Energy Smoothing) that applies deep reinforcement learning to self-driving cars to smooth traffic, reduce fuel consumption, and improve air quality.  The potential for cities is enormous,” said Bayen. “Experiments have shown that the energy savings with just a small percentage of vehicles on the road being autonomous can be huge. And we can improve it even further with our algorithms.”

Berkeley team is selected for first-ever grid software competition

A team lead by EE Assistant Prof. Somayeh Sojoudi, and IEOR Profs. Shmuel Oren and Javad Lavaei, has been selected for funding to participate in the ARPA-E Grid Optimization (GO) Competition today.  The GO Competition comprises a series of prize challenges to accelerate the development and comprehensive evaluation of new software solutions for tomorrow's electric grid.   It is sponsored by the Advanced Research Projects Agency (ARPA) within the U.S. Department of Energy (DOE) and comes with $4M in prizes.  Challenge 1 will ask competitors to build software solutions to the problem of security constrained optimal power flow (SCOPF), or, more simply, the challenge of routing electricity from the source to the consumer quickly, efficiently, safely, and reliably. 

Robert Pilawa-Podgurski wins 2018 IEEE Education Society Van Valkenburg Award

EE Associate Prof. Robert Pilawa-Podgurski is the 2018 recipient of the IEEE Education Society Mac E. Van Valkenburg Award.  This award is given annually to an individual who has made outstanding contributions to teaching unusually early in their professional careers as evidenced by teaching performance, development of new teaching methods, and curricular innovation in fields of interest to the IEEE Education Society. The citation was "for his demonstrated passion for teaching and commitment to individual student growth, and his curriculum innovations in hands-on learning in the area of electric power and energy systems".