News

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.

Lauren Barghout Joins Last Studio Standing as Chief Vision Scientist

Laura Barghout, a visiting scholar at the Berkeley Initiative for Soft Computing (BISC), has been hired as Chief Vision Scientist of Last Studio Standing, the largest hand-drawn animation studio in the Western Hemisphere.  Barghout invented a Gestalt-based fuzzy inference system and labeling technique that is used commercially in image/video background removal, object recognition and image labeling systems. Her research has contributed to the understanding of context-dependent spatial vision, spatial masking, theoretical and computational psychophysics, and the application of fuzzy set theory to human and machine vision.  "Most animation relies solely on a direction and what's being created," she said . "This invention allows for a softer, more human-like understanding. It captures the flavor and nuance of a subject naturally -- and, again, it's softer. As such, it requires less manual clean up."

Aviad Rubinstein helps show that game players won’t necessarily find a Nash equilibrium

CS graduate student Aviad Rubinstein (advisor: Christos Papadimitriou)  is featured in a Quanta Magazine article titled "In Game Theory, No Clear Path to Equilibrium," which describes the results of his paper on game theory proving that no method of adapting strategies in response to previous games will converge efficiently to even an approximate Nash equilibrium for every possible game. The paper, titled Communication complexity of approximate Nash equilibria, was co-authored by Yakov Babichenko and published last September.  Economists often use Nash equilibrium analyses to justify proposed economic reforms, but the new results suggest that economists can’t assume that game players will get to a Nash equilibrium, unless they can justify what is special about the particular game in question.

Vern Paxson's cybersecurity startup Corelight raises $9.2M in Series A funding

Corelight, a cybersecurity startup co-founded by CS Prof. Vern Paxson, has raised $9.2 million in Series A funding from Accel Partners, with participation from Osage University Partners and Riverbed Technology Co-founder (and former Berkeley CS professor) Dr. Steve McCanne.  Corelight provides powerful network visibility solutions for cybersecurity built on a widely-used open source framework called Bro, which was developed by Paxson while working at LBNL in 1995.   The Corelight Sensor, which enables wide-ranging real-time understanding of network traffic, is already being used by many of the world’s most capable security operations including Amazon and five other Fortune 100 companies.

Jose Carmena and Michel Maharbiz win 2017 McKnight Technological Innovations in Neuroscience Award

Professors Jose Carmena and Michel Maharbiz have won a 2017 McKnight Technological Innovations in Neuroscience Award for "Neural Dust: an ultrasonic, low power, extreme miniature technology for completely wireless and untethered neural recordings in the brain."  These annual awards come with a $200K prize and are aimed at advancing the range of tools neuroscientists have to map, monitor, and model brain function.  The award will allow Carmena and Maharbiz to apply neural dust technology to the central nervous system, which has the potential to allow the brain to be trained or treated to restore normal functionality following injury or the onset of neuropsychological illness.

Compressed light field microscopy helps build a window into the brain

In a project funded by a $21.6M donation from DARPA,  a light field microscope developed by EE Associate Prof. Laura Waller, MCB Assistant Prof. Hillel Adesnik and their lab groups, is being used to create a window into the brain through which researchers — and eventually physicians — can monitor and activate thousands of individual neurons using light.   The microscope is based on CS Assistant Prof. Ren Ng's revolutionary light field camera which captures light through an array of lenses and reconstructs images computationally in any focus. The microscope is the first tier of a two-tier device referred to as a cortical modem:  it "reads" through the surface of the brain to visualize up to a million neurons; the second tier component "writes" by projecting light patterns onto these neurons using 3D holograms, stimulating them in a way that reflects normal brain activity. The goal of the project is to read from a million individual neurons and simultaneously stimulate 1,000 of them with single-cell accuracy.  “By encoding perceptions into the human cortex," MCB Prof. Ehud Isacoff says, "you could allow the blind to see or the paralyzed to feel touch.”

There are 10 faculty involved in this project, 4 of which are from EECS: Laura Waller, Ren Ng, Jose Carmena and Rikky Muller. The project is being led by Ehud Isacoff from the Helen Wills Neuroscience Institute.

The tale of Lester Mackey's pursuit of the Netflix Prize

In October 2006, Netflix announced "The Netflix Prize," a $1M competition where teams of programmers raced to make the Netflix recommendation engine 10% more accurate.  The nail-biting competition is profiled in an article for Thrilllist which prominently features participant and CS alumnus Lester Mackey (Ph.D. '12), then an undergraduate at Princeton.   "It was so much fun," he said. "The contest was structured so well. We had to learn so much to be competitive and I met so many people along the way."  The winners beat the second place team by only 20 minutes.   Mackey is now a researcher at Microsoft Research New England and an adjunct professor of Statistics at Stanford University.

Anca Dragan awarded 2017 Okawa Foundation Research Grant

CS Assistant Prof. Anca Dragan has been selected to receive a 2017 Okawa Foundation Research Grant.  This award recognizes promising young faculty members in the fields of information and telecommunications, and comes with a $10K prize.  The presentaton ceremony will be held on September 20th in San Francisco.

ESPIRiT paper is the most-cited Magnetic Resonance in Medicine article from 2014

The paper titled "ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA" co-written by Associate Prof. Michael Lustig,  his graduate student Pat Virtue, and alumnus Mark J. Murphy (Ph.D. '11 advisor: Kurt Keutzer) has been named the most-cited Magnetic Resonance in Medicine article from 2014.    The article bridges the gap between the two main approaches for parallel imaging (SENSE and GRAPPA) allowing the reconstruction of images from undersampled multicoil data.  It presents a new autocalibration technique combining the extended reconstruction of SENSE with GRAPPA-like robustness to errors.

Authors of the paper are listed as Martin Uecker, Peng Lai, Mark J. Murphy, Patrick Virtue, Michael Elad, John M. Pauly, Shreyas S. Vasanawala, and Michael Lustig.

CS faculty and alumni participate in Turing Award 50th Anniversary

The Turing Award 50th Anniversary celebration was held at the Westin St. Francis in San Francisco on June 23-24, 2017.   CS Professors Stuart Russell and Michael Jordan participated on a panel discussion about advances in deep neural networks, Prof. Umesh Vazirani moderated a panel on quantum computing.  Prof. Emeritus and Turing winner Michael Stonebraker discussed the legal ramifications of collecting data from a growing number of devices with different encoding formats, and alumnus and Turing winner Butler Lampson (Ph.D. '67) participated on a panel about the end of Moore's Law.

The ACM A.M. Turing Award is considered the "Nobel prize of computing," and comes with a $1 million prize for contributions of lasting and major technical importance to the computing field.   EECS faculty have won four:  Richard Karp for theory and efficiency of algorithms (NP-completeness) in 1985, William Kahan for numerical analysis (floating-point) in 1989, Manuel Blum for computational complexity theory and cryptography in 1995, and Michael Stonebraker for modern database systems in 2014.  EECS alumni have won seven: Ken Thompson (B.S. '65/M.S. '66) for operating systems theory (UNIX) in 1983, Niklaus Wirth (Ph.D. '63) for computer languages (EULER/Pascal, etc.) in 1984, Butler Lampson (Ph.D. '67) for distributed, personal computing (workstations, networks, etc.) in 1992, Douglas Englebart (MS. '53/Ph.D. '55) for interactive computing in 1997, Leonard Adleman (Ph.D. '76) for public-key cryptography in 2002, and Shafi Goldwasser (M.S. '81/Ph.D. '84) with Silvio Micali (Ph.D. '82) for cryptography and complexity theory in 2012.

Paper co-authored by Sanjit Seshia and Alexandre Donze receives 2017 IEEE Transactions on CAD Donald O. Pederson Best Paper Award

A paper co-authored by Prof. Sanjit A. Seshia and postdoctoral researcher Dr. Alexandre Donze, along with researchers from Toyota, has been selected for the 2017 IEEE Transactions on CAD Donald O. Pederson Best Paper Award. This award recognizes the best paper published in the Transactions on Computer-Aided Design of Integrated Circuits and Systems publication. Donald O. Pederson was a professor of electrical engineering in EECS and one of the designers of SPICE, the canonical integrated circuit simulator. The paper, entitled "Mining Requirements from Closed-Loop Control Models", received this recognition at the 54th Design Automation Conference.