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CS Grad Xin Lyu

Xin Lyu wins CCC 2022 Best Student Paper Award

CS graduate student Xin Lyu (advisors: Jelani Nelson and Avishay Tal) has won the Best Student Paper Award at the Computational Complexity Conference (CCC) 2022. The solo-authored paper titled “Improve Pseudorandom Generators for AC^0 Circuits” was one of two co-winners of the Best Student Paper Award at CCC, which is an annual conference on the inherent difficulty of computational problems in terms of the resources they require. Organized by the Computational Complexity Foundation, CCC is the premier specialized publication venue for research in complexity theory.

Berkeley EECS paper wins 2022 ACM SIGPLAN Distinguished Paper Award

A paper co-authored by CS Prof. Alvin Cheung has won the ACM SIGPLAN Distinguished Paper at the 43rd Conference on Programming Language Design and Implementation (PLDI) 2022. The paper titled, “Synthesizing Analytical SQL queries from Computation Demonstration,” introduces a tool called Sickle, a new end-user specification, programming by computation demonstration, for greater efficiency in analytical SQL queries. PLDI is the premier forum in the field of programming languages and programming systems research, covering the areas of design, implementation, theory, applications, and performance.

Ion Stoica wins 2023 IEEE Koji Kobayashi Computers and Communications Award

CS Prof. Ion Stoica has won the 2023 IEEE Koji Kobayashi Computers and Communications Award. Presented annually, the IEEE Koji Kobayashi Computers and Communications Award was established by the IEEE Board of Directors in 1986 for outstanding contributions to the integration of computers and communications. The award is named in honor of Dr. Koji Kobayashi, who has been a leading force in advancing the integrated use of computers and communications. Stoica was cited “for contributions to the design of cloud and computer network services.” Stoica’s research is focused on cloud computing and networked computer systems. He is the Executive Chairman and co-founder of Databricks and an ACM Fellow. Previous winners of this award include Profs. Kannan Ramchandran and Jean Walrand, and the late Prof. Emeritus Elwyn Berlekamp.

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.”

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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. Shao'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. 

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.

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.