Berkeley Remix Podcast Season 4, Episode 2, explores the contributions of UC Berkeley Engineering to the rise of the semiconductor industry in Silicon Valley in the 1960s and 70s.   “Berkeley Lightning: A Public University’s Role in the Rise of Silicon Valley”  focuses on the development of SPICE, the first widely used design program for prototyping microchips, which was originally designed by and for students.  The software spread "like lightning" in part because Berkeley, as a public institution, made it available free of charge. The world has not been the same since.  The podcast features audio from interviews with Prof. Emeritus  Paul Gray  and alumnus Laurence Nagel (B.S. '69/M.S. '70/Ph.D. '75, advisor: Donald Pederson), CEO of Omega Enterprises, and former senior manager at Bell Laboratories.

EECS students, postdocs, alumni, and faculty were front and center at the 28th USENIX Security Symposium in Santa Clara last week.  In addition to the Test of Time and Distinguished Paper Awards (see below), Keynote Speaker Alex Stamos (B.S. '01), previously the Chief Security Officer of Facebook, highlighted the threat model work of current ICSI postdoc Alisa Frik (advisor: Serge Egelman).  Alumnus Nicholas Carlini (Ph.D. '18, advisor: David Wagner) gave a talk on his neural networks research which was co-authored by CS Prof. Dawn Song and postdoc Chang Liu.  ICSI researchers Primal Wijesekera and Serge Egelman, and former ICSI postdoc Joel Reardon, were awarded a Distinguished Paper Award for "50 Ways to Leak Your Data: An Exploration of Apps' Circumvention of the Android Permissions System." Grad students Frank Li (advisor: Vern Paxson) and Nathan Malkin (advisors: Serge Egelman and David Wagner), received a Distinguished Paper award at the SOUPS '19 technical session for "Keepers of the Machines: Examining How System Administrators Manage Software Updates For Multiple Machines." The Zip Bomb research of alumnus David Fifield (Ph.D. '17, advisor: Doug Tygar) was also awarded a Best Paper award at the WOOT '19 technical session.

Two CS grad students, co-advised by David Culler and Raluca Popa, also made presentations.  Sam Kumar presented "JEDI: Many-to-Many End-to-End Encryption and Key Delegation for IoT" and Michael P. Andersen presented "WAVE: A Decentralized Authorization Framework with Transitive Delegation."

Graduate student Grant Ho and his co-advisors Profs. Vern Paxson and David Wagner, were honored with a Distinguished Paper Award at the 2019 USENIX Security Symposium for "Detecting and Characterizing Lateral Phishing at Scale".  In the paper, they presented "the first large-scale characterization of lateral phishing attacks, based on a dataset of 113 million employee-sent emails from 92 enterprise organizations."  Ho, Paxson, and Wagner previously won the same award at the 2017 USENIX Security Symposium for their paper "Detecting Credential Spearphishing Attacks in Enterprise Settings."

CS Profs. and alumni David Wagner (Ph.D. '00) and Eric Brewer (B.S. '89), and alumni Ian Goldberg (Ph.D. '00) and Randi Thomas (M.S.) have won the 2019 USENIX Test of Time Award for their 1996 paper titled "A Secure Environment for Untrusted Helper Applications."  The paper, which introduced a fundamental and crucial technique for confining untrusted applications in computer systems, and which made a significant contribution to the computer security field, was written by Wagner, Goldberg and Thomas when they were Brewer's graduate students.  “Beyond its strong academic impact — cited by 890 papers," said award committe member Dan Boneh, "the technique is now used to confine web pages in the Chrome browser, and to confine applications running on Android."

A group of researchers currently or formerly working in the lab of CS Affiliate Prof. Jack Gallant, have developed interactive semantic maps that can predict where different categories of words activate the brain. The researchers used functional MRI to scan the brains of subjects who were listening to or reading stories.  The results were viewed in an interactive, 3D, color-coded map, where words are presented as scribbles of color on a flattened brain cortex.  When the researchers compared the listening-versus-reading brain activity data, they found the maps they created from both datasets were virtually identical. The maps may one day inform interventions for dyslexia, strokes, epilepsy, brain injuries, and auditory processing disorders.

A paper co-authored by EE Prof. Ali Javey, describes a new sweat sensor design that can be rapidly manufactured using a “roll-to-roll” processing technique that essentially prints the sensors onto a sheet of plastic like words on a newspaper.  The sensors monitor sweat rate and the electrolytes and metabolites in sweat.  “The goal of the project is not just to make the sensors but start to do many subject studies and see what sweat tells us — I always say ‘decoding’ sweat composition,” said Javey.  “For that we need sensors that are reliable, reproducible, and that we can fabricate to scale so that we can put multiple sensors in different spots of the body and put them on many subjects."

EE Prof. and Dean of Engineering Tsu-Jae King Liu has won a 2019 Asian American Distinguished Science and Technology Award  for "contributions to nanometer-scale field-effect transistor and micro-electro-mechanical relay technology for digital computation and memory applications.”   The award is part of the annual DiscoverE National Engineers Week program hosted by CIE/USA, and was presented at the 2019 Asian American Engineer of the Year  Award and Conference (AAEOY) on August 16th.

EECS Prof. Raluca Ada Popa has been selected for the Bakar Fellows Program, which supports faculty working to apply scientific discoveries to real-world issues in the fields of engineering, computer science, chemistry, and biological and physical sciences. With her Bakar Fellows Spark Award, Prof. Popa will design and build a data encryption platform that will enable collaborative machine learning studies by performing these multi-party computations under encryption.

The Simons Institute for the Theory of Computing has announced the creation of the Richard M. Karp Distinguished Lectures, named in honor of CS Prof. Emeritus Richard Karp, the Institute’s Founding Director. The series will feature talks by leading researchers in the foundations of computing including Sanjeev Arora (Ph.D. '94, advisor: Umesh Vazirani), Faith Ellen (Ph.D. '82, advisor: Richard Karp), Dan Gusfield (B.S. '73/Ph.D. '80, advisor: Richard Karp), Mike Luby (Ph.D. '83, advisor: Richard Karp), Antony P.-C. Ng (Ph.D. '92, advisor: Richard Brayton), Prabhakar Raghavan (Ph.D. '86, advisor: Clark Thompson), CS Prof. Scott Shenker, Vijay Vazirani (Ph.D. '84, advisor: Manuel Blum), and Karp, himself.  The lecture series will be launched in the Fall.

A viral real-time AI art application, co-created by three current and former graduate students of CS Prof. Alexei Efros, has won two coveted awards--Best in Show and Audience Choice--at the SIGGRAPH 2019 Real-Time Live Competition.  The interactive application, called GauGAN, was co-created by Ph.D. candidate Taesung Park during a summer internship at NVIDIA, along with alumni and NVIDIA researchers Jun-Yan Zhu (Ph.D. '17,  ACM SIGGRAPH Outstanding Doctoral Disseration winner) and Ting-Chun Wang (Ph.D. '17), as well as NVIDIAs Ming-Yu Liu.  GauGAN is the first semantic image synthesis model that can turn rough sketches into stunning, photorealistic landscape scenes.