News

Jose Carmena and Bora Nikolic elected IEEE Fellows class of 2017

Professors Jose Carmena and Borivoje Nikolic have been elected as IEEE Fellows Class 2017. An IEEE Fellow is a distinction reserved for select IEEE members whose extraordinary accomplishments in any of the IEEE fields of interest are deemed fitting of this prestigious grade elevation. Prof. Carmena is recognized for contributions to the neural basis of motor skill learning and neuroprosthetic systems. Prof. Nikolic is recognized for contributions to energy-efficient design of digital and mixed-signal circuits.

Dave Hodges receives IEEE Richard M. Emberson Award

Professor Emeritus David Hodges has been selected to receive the prestigious IEEE Richard M. Emberson Award. This award is given for exemplified loyal and dedicated service to IEEE, especially its Technical Activities. Prof. Hodges is receiving this award for effective leadership in advancing IEEE's goals for excellence in publications, conferences, and awards.

Expanding Data Science Education

Student Jerry Lin has penned an Op-Ed in the Daily Cal titled "UC Berkeley should expand data science education" in which he describes why he supports the creation of  a College of Computing and Data Sciences, a cross-disciplinary program between EECS and statistics.  "This college would house associated majors that currently do not have an institutional home (such as Cognitive Science) while cross-listing existing courses across various departments into a logical, intuitive map, making it easy for students to navigate the data science landscape in a truly interdisciplinary fashion."  Lin discusses the difficulty non-CS students face when trying to enroll in data science classes vital to their fields of study.  "The interdisciplinary nature of data science demands accessibility," Lin writes, and this new college could be "a vision for the 21st century."

Researchers Develop New Parallel Computing Method

CS postdoctoral fellow Jeff Regier (adviser: Michael Jordan) along with researchers from Julia Computing, Intel,  NERSC, LBNL, and JuliaLabs@MIT have developed a new parallel computing method to dramatically scale up the process of cataloging astronomical objects. This major improvement leverages 8,192 Intel Xeon processors in Berkeley Lab’s Cori supercomputer and Julia, the high-performance, open-source scientific computing language to deliver a 225x increase in the speed of astronomical image analysis.

The code used for this analysis is called Celeste.  “Astronomical surveys are the primary source of data about the Universe beyond our solar system,” said Jeff. “Through Bayesian statistics, Celeste combines what we already know about stars and galaxies from previous surveys and from physics theories, with what can be learned from new data. Its output is a highly accurate catalog of galaxies’ locations, shapes and colors. Such catalogs let astronomers test hypotheses about the origin of the Universe, as well as about the nature of dark matter and dark energy.”

More detail can be found in an article on HPC Wire "Researchers Develop New Parallel Computing Method."

Jean-Paul Jacob Receives Rio Branco Medal

Jean Paul Jacob (M.S. '65 and Ph.D. '66) has been awarded a medal of the Rio Blanco Order, one of the highest honors of the Brazilian Government, in part for his work with the College of Engineering as faculty-in-residence in EECS and as special advisor to the Center for Information Technology Research in the Interest of Society (CITRIS). 

RISC-V (Five) is Alive!

RISC-V, an open-source instruction set architecture created at UC Berkeley is featured in an electronic design article titled “RICS-V (Five) is Alive!” RISC (Reduced Instruction Set Computer) was originally designed in 1982 by students with the direction of Professors David Patterson and Carlo Sequin. Since then, iterations of RISC have been developed. In 2010 Prof. Krste Asanovic, with the help of Prof. Patterson, decided to develop another version of RISC to help both academic and industrial users and RISC-V was published.

Quantenna, co-founded by alumna Andrea Goldsmith, goes public

EECS alumna Prof. Andrea Goldsmith (B.S., M.S. and Ph.D. ’94) co-founded Quantenna in 2005 to build a product and company around her research in adaptive multiple-antenna (MIMO) wireless communications. After seed funding for Quantenna was secured from Sequoia Capital in March of 2006, Goldsmith took a leave of absence from Stanford to lead the company’s technical strategy and development in the role of CTO. She continued in this role through June 2009. She is currently chairing the company’s technical advisory board. Quantenna has continued innovating to remain at the cutting edge of WiFi technology. Quantenna chipsets are now deployed with 15 major carriers throughout the world, including AT&T, DirectTV, Comcast, Orange, Swisscom, and Telefonica.  The company employs 275 people worldwide, with revenues this year expected to exceed $110M. The company went public on Oct. 28, 2016 as QTNA, with the founders, company executives, and early employees ringing the closing Nasdaq bell. Quantenna’s stock has risen 15% since its IPO. Andrea Goldsmith is also the Stephen Harris Professor of Electrical Engineering at Stanford. 

Daniel Pok and Isabel Zhang on VR@Berkeley

EECS major Daniel Pok and CS major Isabel Zhang are featured in a Berkeley News article titled “Seeing is believing”. They are the co-founders of a student organization called VR@Berkeley. The club provides students access to virtual reality equipment and training and charters project teams to explore the applications and implications of virtual reality in diverse fields through research and development. The VR (virtual reality) club started with a handful of members in early 2015 and has grown to 200 members across campus who are working on a range of projects including an augmented 3-D virus model that pops off the page of a biology textbook and the use of virtual reality to play the Campanile’s carillon.

Ken Goldberg named Chair of IEOR

Effective January 1, 2017, Prof. Ken Goldberg will serve as Chair of the Department of Industrial Engineering & Operations Research (IEOR).  Ken is a professor of IEOR, with secondary appointments in EECS, Art Practice, the School of Information and Radiation Oncology at UCSF’s Medical School. Ken is Director of CITRIS’s People and Robots Initiative and UC Berkeley’s AUTOLAB, where he and his students pursue research in geometric algorithms and machine learning for robotics and automation in surgery, manufacturing and service applications.

Ruzena Bajcsy and Mike Stonebraker are among the "7 over 70"

A companion to Tech Review’s annual 35 Innovators Under 35 list features a list of seven innovators over 70. The new list includes EECS Professor Ruzena Bajcsy and professor emeritus Michael Stonebraker.  The 7 Over 70 list acknowledges innovators who are continuing to have sustained impacts in their field well after most of their colleagues have decided to retire.