News

Anca Dragan wants more human-centered AI4ALL

At the Berkeley AI Research (BAIR) Camp this year, Assistant Prof. Anca Dragan will lead AI4ALL, a Berkeley education program designed to introduce high potential, low income high schoolers to humanistic AI.  In an article titled "The future of AI needs to have more people in it" she discusses the importance of creating AI with humans in mind and the value of diverse approaches to the field.

Alberto Sangiovanni-Vincentelli selected to receive the 2017 IEEE TCCPS Award

Alberto Sangiovanni-Vincentelli has been named recipient of the 2017 IEEE TCCPS (Technical Committee on CyberPhysical Systems) Technical Achievement Award. This award recognizes significant and sustained contributions to the cyber-physical system (CPS) community based on the impact of high-quality research made by the awardee throughout their lifetime. Prof. Alberto Sangiovanni-Vincentelli 's research interests are in design methodologies and tools for wireless sensor networks, embedded systems, hybrid systems, cyber physical systems (CPS), Systems of Systems (SoS) and electronic design automation.

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.

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.

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.

Avideh Zakhor featured in interview by bigthink.com

Prof. Avideh Zakhor is featured in a video interview by bigthink.com titled “Smart Tech: Phones, Drones and Interior Mapping”. Prof. Zakhor’s research interests include digital signal processing and its applications to 2D and 3D image and video processing, and communications. Applications of her research range from helping emergency rescue teams navigate in times of crisis, to boosting our comfort with Smart Homes.

EECS joins 5G Innovators Initiative to explore the Industrial Internet of Things

UC Berkeley has joined Honeywell and GE as initial participants in the 5G Innovators Initiative (5GI2), an open industry initiative designed to create transformative experiences that change lives, businesses and society, launched by Ericsson  and Intel Corporation.  The first segment of 5GI2 will focus on the Industrial Internet of Things (IIOT) and develop pilots for application of technologies including augmented and virtual reality for first responder drone surveillance of hazardous environments and other uses.  CS Prof. Ion Stoica, Director of RISELab, says "We pride ourselves for interdisciplinary collaboration and believe we are in a unique position to explore new applications, use cases, and business models for 5G that will ultimately realize its potential."