News

Jennifer Chayes elected as honorary member of the London Mathematical Society

CS Prof. Jennifer Chayes, the Associate Provost of the Division of Computing, Data Science, and Society (CDSS), and the Dean of the School of Information has been elected to become an Honorary Member of the London Mathematical Society (LMS). Each year, the Council of the LMS considers the election of Honorary Members of the Society amongst distinguished mathematicians who are not normally resident within the United Kingdom. Chayes was cited for “fundamental contributions to many of the most prominent topics in the mathematics, computation, and application of network science, data science, and allied areas,” and credited for co-inventing “the field of graphons.”

Sophia Shao wins the 2022 IEEE TCCA Young Computer Architect Award

Assistant Prof. Sophia Shao has won the IEEE Technical Committee on Computer Architecture (TCCA) Young Computer Architect Award, which recognizes outstanding research contributions by an individual in the field of Computer Architecture, and who received their Ph.D. within the last six years. Sophia’s work focuses on specialized accelerators, heterogeneous architecture, and agile VLSI design methodology. The award was presented last week at the 49th edition of the International Symposium on Computer Architecture (ISCA '22) in New York City, New York. 

Leslie Field wins 2022 Mark Shannon Grand Challenges Award

EECS alumna Leslie Field (M.S. '88/Ph.D. 91, advisor: Richard White), the first woman to earn a doctorate from the Berkeley Sensor & Actuator Center (BSAC), has won the 2022 Mark Shannon Grand Challenges Award.  This award recognizes "long-term contributions of members of our technical community with a vision to address humanity's pressing issues."  Field is the Founder and CEO of Bright Ice Initiative, Inc., an environmental nonprofit which aims to address the urgent need for terrestrial glacial ice preservation.  During her career, she has developed new formulations for unleaded gasoline, new silicon-glass bonding processes, and pioneered surface micromachining and microfluidic systems.  She also contributed to the development of microwave and optical cross-point switches. She turned her attention to climate change in 2006 and founded Ice911 Research (later renamed AIP) two years later.   Field received a B.S. and M.S. in Chemical Engineering from MIT prior to enrolling at Berkeley.  She is the founder and a managing member of SmallTech Consulting, LLC, where she leads a diverse collaborative team working on MEMS and nanotechnology-based challenges.  She also serves as an Adjunct Lecturer and Consulting Professor Stanford University.

Dan Klein and Angjoo Kanazawa win 2022 Bakar Fellows Spark Awards

EECS Prof. Dan Klein and Assistant Prof. Angjoo Kanazawa have won 2022 Bakar Fellows Spark Awards.  These awards are designed to accelerate Berkeley faculty-led research "to tangible, positive societal impact through commercialization."  Bakar Fellows become part of a campus ecosystem that provides support and programs to assist them in introducing discoveries to the market.  Klein is developing a device that will allow users to communicate through computers by "silent speech"--that is, mouthing words without vocalizations. This technology, which may take the form of a headset that can track a user's facial muscles and translate it into sound, would benefit people with special needs as well as make it easier for everyone to hold private phone conversations in public.  Kanazawa plans to build 360 consumer cameras that can capture 4K video at 90 frames per second using an artificial intelligence framework and the latest volumetric neural rendering techniques.

Ruzena Bajcsy and Klara Nahrstedt first mother-daughter pair elected to NAE

EECS Prof. Emerita Ruzena Bajcsy and her daughter, Klara Nahrstedt, are the first mother-daughter pair to be elected to the National Academy of Engineering (NAE).  Bajcsy has been a member of the NAE since 1997 and Nahrstedt, the Chair of the Grainger College of Engineering at the University of Illinois, Urbana-Champaign, was elected in February.  The two sat down for a Fireside Chat at the National Center for Supercomputing Applications last month to discuss the accomplishment.  “I’m a proud mother,” Bajcsy said. “And I’m thrilled to have been in this profession we have both shared.”  Bajcsy is known for her work in human-centered computer control, cognitive science, robotics, image processing, and artificial vision, as well as her cross-disciplinary leadership.  Nahrstedt researches security across shared systems, including multimedia distributed systems, wired and wireless networks, mobile systems, power grids, and edge-cloud systems.  Both women faced daunting challenges during  their careers. “We were ridiculed, and we were doubted. But you have to be strong,” Bajcsy said.  They emphasized that building a strong support network was critical to success.  “I learned that because of my mother,” said Nahrsted, "and through it I quickly believed I could do whatever I put my mind to.”  Following in their footsteps, Bajcsy's granddaughter and Nahrstedt's niece, Andrea Bajcsy, is currently a doctoral candidate at Berkeley EECS, in her final term.  She is slated to start as an Assistant Professor at Carnegie Mellon in Fall 2023.

Kam Lau named 2022 Caltech Distinguished Alumni

EECS Prof. Emeritus Kam Lau has received the 2022 California Institute of Technology (Caltech) Distinguished Alumni Award (DAA).  Caltech's highest honor, the DAA is presented each year "to a small number of alumni in recognition of personal and professional accomplishments that have made a noteworthy impact in a field, on the community, or in society more broadly."  Lau was cited for "his innovations in and commercialization of laser diode and radio-over-fiber technologies that broadly enable today's wireline and wireless high-speed internet access as well as enabling progress in interplanetary exploration, radio astronomy, and particle physics research, and for his remarkable artistic contributions to the Chinese ink painting movement." While still in high school, Lau joined the first wave of the New Ink Painting Movement in Hong Kong, blending traditional Chinese ink and wash painting with a modern sensibility.   He earned three degrees from Caltech: a B.S. and M.S. in 1978,  and a Ph.D. in 1981.  He joined Ortel Corporation as a founding staff member and taught at Columbia University for two years before coming to Berkeley. His development of the ultra-stable radio frequency (RF) over fiber system made ultra-precise, long-distance synchronization of antennas possible, and enabled both ground-based communication networks and spaceborne planetary radar imaging systems.

Jelani Nelson Awarded Best Paper at SIGMOD-SIGACT-SIGAI PODS 2022

CS Prof. Jelani Nelson has won the Best Paper Award at the 2022 ACM Symposium on Principles of Database Systems (PODS) on June 13th.  The symposium is a collaboration between three ACM Special Interest Groups: Management of Data (SIGMOD), Algorithms and Computation Theory (SIGACT), and Artificial Intelligence (SIGAI).  Nelson's award is for a paper he co-wrote with Huacheng Yu titled "Optimal Bounds for Approximate Counting," in which they describe research on the asymptotic space complexity of maintaining an approximate counter as it is dynamically incremented, proving both new upper and lower bounds that for the first time match up to a constant factor, completely resolving a problem that was first studied in the late 1970s.

Christos Papadimitriou wins 2022 IEEE CS Computer Pioneer Award

CS Prof. Emeritus Christos Papadimitriou has won the 2022 IEEE Computer Society Women of ENIAC Computer Pioneer Award.  This award was created "to recognize and honor the vision of those people whose efforts resulted in the creation or expansion and continued vitality of the computer industry. The award is presented to outstanding individuals whose main contribution to the concepts and development of the computer field was made at least fifteen years earlier."  Papadimitriou was cited "for fundamental contributions to Computer Science, via the development of the theory of algorithms and complexity, and its application to the natural and social sciences."  He has written five textbooks and many articles on algorithms and complexity, and their applications to optimization, databases, control, AI, robotics, economics and game theory, the Internet, evolution, and the brain.  He has also published three novels: “Turing,” “Logicomix” and “Independence.”  Papadimitriou is currently teaching at Columbia University.

Jitendra Malik named 2023 Martin Meyerson Berkeley Faculty Research Lecturer

CS Prof. Jitendra Malik has been selected as one of two 2023 Martin Meyerson Berkeley Faculty Research Lecturers (FRL). This Lectureship is bestowed by the Berkeley Division of the Academic Senate to recognize faculty “whose research has changed the shape of their discipline” and invite them “to share their innovative work with the broader campus community and the public.”  Each lecturer will present a talk on a topic of their choice in April 2023. Malik, who also holds appointments in vision science, cognitive science, and bioengineering, is known for his research in computer vision, computational modeling of biological vision, computer graphics, and machine learning.  Several well-known concepts and algorithms arose in this work, such as anisotropic diffusion, normalized cuts, high dynamic range imaging, shape contexts and R-CNN. He has won numerous awards including an IEEE CS Computer Pioneer Award in 2019.

Divya Periyakoil named Bloomberg Fellow

EECS alumna and former Regents Chancellor's Scholar Divya Periyakoil (B.S. 2020) has won a Bloomberg Fellowship from the Johns Hopkins Bloomberg School of Public Health. Bloomberg fellows are awarded full scholarships to pursue a Master or Doctor of Public Health at Johns Hopkins to tackle one of five critical health issues: addiction and overdose, adolescent health, environmental challenges, obesity and the food system, or violence. Periyakoil's fellowship is in the area of Environmental Challenges. As an undergrad, she was a Population Health Data Science Researcher in a project that focused on developing and applying machine learning, deep learning, and other forms of advanced analytic techniques and methodologies to advance environmental health research and devise innovative solutions to overcome environmental challenges to promote health equity. The project was part of a collaboration between two Berkeley groups, the Research in Artificial Intelligence for Sustainable Energy (RAISE) Lab, which develops and integrates tele-health, sensors, analytics, and smart device technologies to lower health costs and improve outcomes, and the UC Berkeley School of Public Health's Bixby Center for Population, Health, and Sustainability, which studies how environmental exposures, like those resulting from climate change, impact the most vulnerable members of our community, such as children, pregnant women, people of low socioeconomic status, and laborers.