News

Prof. Kenneth Mei has passed away

EECS Prof. Emeritus Kenneth K. Mei, innovator in computational electromagnetics, passed away on Feb 16, 2017 at the age of 84.  Prof. Mei was born in China, served as an interpreter during the Korean War, earned his degrees at the University of Wisconsin, and joined the EECS department in 1962.  Prof. Mei’s work on formulating Maxwell’s equations into integral equations, now known as the “method of moments,” is one of the most important and widely used numerical techniques for analyzing scattering, antenna and microstrip circuit problems. He invented the superabsorption method in 1989 and the measured equation of invariance (MEI) in 1992. The MEI method made it possible for personal computers to handle problems previously only resolvable by a supercomputer.  Prof. Mei retired in 1994.

Andrew Ng on why Artificial Intelligence is the new electricity

CS alumnus Andrew Ng (Ph.D. '02), Chief Scientist at Baidu, founder of Google Brain, co-founder of Coursera, and Stanford adjunct professor, describes in a video on Inside HPC how artificial intelligence is transforming the industrial landscape.  He compares the impact of AI to that of electricity, which radically transformed industry after industry when it was introduced.

Gary Hornbuckle, founder of Applicon, Inc. has died

Alumnus Gary Dean Hornbuckle (EE B.S. '61/M.S. '62/Ph.D. '67), a pioneer in the computing industry who formed a number of his own companies, passed away on March 1, 2017.  He spent 2 years on the research staff at M.I.T. before forming Applicon, Inc. in 1969, one of the first Computer Aided Design systems manufacturing companies.  When Applicon was acquired by Schlumberger in 1980 it had over $100 million in annual revenue.  He went on to found and serve as president of five additional technology companies in Texas and California before retiring in 2000.

A new understanding of the world through grassroots Data Science education

Vani Mandava, the Director of Data Science at Microsoft Research, has written an article about the innovative course Foundations of Data Science taught by CS Assistant Teaching Prof. John DeNero and Ani Adhikari, a Teaching Professor in the Department of Statistics.  Mandava examines the motives and experiences of the students, and describes the aim of Berkeley’s Data Science Education Program (supported in part by Microsoft) to make data science an integral feature of a liberal education and a core interdisciplinary capacity available to all Berkeley undergraduates.

Sarah Bergbreiter engineers submillimeter-sized robotic systems

EECS alumna Sarah Bergbreiter (M.S. '04/Ph.D. '07) is  the subject of a profile  by the A. James Clark School of Engineering at the University of Maryland celebrating female engineering faculty during women's history month.  Sarah is an Associate Professor in the Department of Mechanical Engineering and Institute for Systems Research, and the Director of the Maryland Robotics Center in charge of both the Micro Robotics Lab and the multi-user Robot Realization Lab.  She has received  PECASE, NSF CAREER, and DARPA Young Faculty Awards, and has also been named one of 25 women in robotics you should know about.

Anca Dragan and Yoky Matsuoka are taking charge in 2017

CS Assistant Prof. Anca Dragan and EECS alumna Yoky Matsuoka (B.S. '93) are among Interesting Engineering's "17 Awesome Women Engineers" who are revolutionizing the engineering field in 2017.  Anca is described as "one of the rising stars of the robotics scene" as the head of the InterACT Lab at UC Berkeley which specializes in human/robotics interactions, algorithms and compatible artificial intelligence systems."  Yoky is "a hot commodity among major tech companies" as the CTO of Alphabet Nest.

The benefits and risks of automating us

EE Profs. Ruzena Bajcsy and Stuart Russell appear in an article in the Berkeley Science Review titled "Automating Us," in which they are quoted discussing the impacts of recent technological developments on both robots and humans.

Ruzena Bajcsy and Robert Matthew are developing exoskeleton assistive devices for the people

Prof. Ruzena Bajcsy and EECS alumus student (now post doc in the HART Lab)  Robert Matthew (M.S. EE '15) are featured in a Berkeley Research article titled “Engineering to Restore Power to the People”. Supported by the Signature’s Innovation Fellows Program, Matthew and Prof. Bajcsy have developed mathematical models of the body allowing for measurement of upper and lower limb movement. This provides the foundation for wearable assistive devices to serve a range of physical limitations. With teams of undergraduate students, they fabricate lightweight exoskeletons and strap them onto volunteers to test their effectiveness. Their goal is to make assistive devices as lightweight and inexpensive as possible using commercially available parts and 3-D printing.

"Sweat sensor" tracks physiological changes from moment to moment

2016-17 Bakar Fellow Prof. Ali Javey is profiled in a Berkeley Research article titled "Physiological Changes Tracked Moment to Moment," in which he discusses his research into a network of sensors that can be embedded into a sweatband to monitor moment-by-moment changes in electrolytes and metabolites.  Prof. Javey is refining the sensor fabrication process to make it more commercially practical for fitness training, athletics, health diagnostics and even large-scale population studies.

Philip Isola asks "Do machines see what I see?"

CS postdoctoral scholar Philip Isola (Associate Prof.  Alyosha Efros) is profiled in an an article in The Cornell Daily Sun titled "Computer Science Colloquium: Do Machines See What I See?" in which he discusses strategies that might allow systems to understand the visual world.  “My ultimate goal is to make systems that really have the kind of abilities that human babies have and I think this requires understanding the type of input that biological systems get, the structure of the environment and also the structure of our brains” he says.