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.

EECS graduate students Roderick Bayliss III (advisor: Robert Pilawa-Podgurski) and Vivek Nair (advisor: Dawn Song) have been selected to receive 2022 Hertz Fellowships.  One of the most prestigious awards of its kind, Hertz Fellowships support PhD students whose research show "the greatest potential to tackle society's most urgent problems." Bayliss is developing more efficient and power-dense types of power converters—devices that change the current, voltage or frequency of electrical energy—and inductors, which store energy, to help reduce the world’s dependence on fossil fuels. He earned his B.S. and M.Eng. in Electrical Engineering from MIT.  Nair is developing cutting-edge cryptographic techniques to defend digital infrastructure against sophisticated cyberthreats. He was the youngest-ever recipient of a B.A. and Master's in computer science from the University of Illinois Urbana-Champaign, and is the founder of Multifactor.com.  Their fellowships will fund up to five years of graduate research with "the freedom to pursue innovative ideas wherever they may lead."  Hertz Fellows also receive lifelong professional support, including mentoring and networking with a powerful community of more than 1,200 researchers.

Berkeley Artificial Intelligence researchers are joining forces with climate experts, government agencies, and industry, as part of the new Berkeley AI Research (BAIR) Climate Initiative, a multi-disciplinary student-led hub dedicated to fighting climate change.  The effort is being led by co-founding director CS Prof. Trevor Darrel and organized by three of his graduate students, Colorado Reed (co-advised by Kurt Keutzer), who will help lead the initiative, Medhini Narasimhan, and Ritwik Gupta (co-advised by Shankar Sastry).  Their objective is to develop AI techniques that address problems with data processing, particularly involving massive data sets. To maximize the benefit to other researchers studying the same problems around the world, all work done by the initiative will be openly published and available without exclusive or proprietary licensing.  One of their first projects, “The Fate of Snow,” will be a collaboration between BAIR Climate Initiative researchers and other scientists and policy experts on the Berkeley campus, Berkeley Lab (LBNL), Meta AI (which belongs to Meta Platforms, Inc.) and the Center for Western Weather and Water Extremes. The researchers plan to apply AI methods to a multitude of openly available weather and satellite data sources to estimate how much water is in the Sierra Nevada snowpack and forecast what that will mean for streadmflow in the region.

Two of EECS Prof. Ren Ng's former graduate students, Pratul Srinivasan and Benjamin Mildenhall, jointly received an honorable mention for the 2021 Association for Computing Machinery (ACM) Doctoral Dissertation Award.  This award is presented annually to the "author(s) of the best doctoral dissertation(s) in computer science and engineering."  Srinivasan and Mildenhall, who both currently work at Google Research,  were recognized "for their co-invention of the Neural Radiance Field (NeRF) representation, associated algorithms and theory, and their successful application to the view synthesis problem."  Srinivasan’s dissertation, "Scene Representations for View Synthesis with Deep Learning," and Mildenhall’s dissertation, “Neural Scene Representations for View Synthesis,” addressed a long-standing open problem in computer vision and computer graphics called the "view synthesis" problem:  If you provide a computer with just a few of photographs of a scene, how can you get it to predict new images from any intermediate viewpoint?  "NeRF has already inspired a remarkable volume of follow-on research, and the associated publications have received some of the fastest rates of citation in computer graphics literature—hundreds in the first year of post-publication."

CS Prof. Stuart Russell has won the International Joint Conferences on Artificial Intelligence  (IJCAI) 2022 Award for Research Excellence.  This award is one of the IJCAI's highest honors and recognizes "a scientist who has carried out a program of research of consistently high quality throughout an entire career yielding several substantial results."   Russell was cited for "fundamental contributions to the development of Bayesian logic to unify logic and probability, the theory of bounded rationality and optimization, and learning and inference strategies for operations in uncertain environments."  Stuart is also an Adjunct Professor of Neurological Surgery at UCSF and founder and vice-president of Bayesian Logic, Inc.  He founded and leads the UC Berkeley Center for Human-Compatible Artificial Intelligence (CHAI) and is the co-author of one the most popular AI textbooks in the world, Artificial Intelligence: A Modern Approach.

CS Prof. Jennifer Chayes, the Associate Provost of the Division of Computing, Data Science (CDSS) and the Dean of the School of Information, will be awarded an honorary doctorate from Bard College in New York on May 28th.   Chayes is known for her work on phase transitions in discrete mathematics and computer science, structural and dynamical properties of self-engineered networks, and algorithmic game theory, and is a world expert in the modeling and analysis of dynamically growing graphs.  Her recent work focuses on machine learning, including both theory and applications in cancer immunotherapy, ethical decision making, and climate change.  Chayes earned her B.A. in Biology and Physics from Wesleyan in 1979  and her Ph.D. in Mathematical Physics from Princeton in 1983.  She served as a professor of Mathematics at UCLA for over ten years before leaving to co-found the Theory Group at Microsoft Research Redmond in 1997.  She opened Microsoft Research New England in 2008, where she served as Managing Director until she left for Berkeley in 2020.

Sky Computing Lab, the latest 5-year collaborative research lab launched out of Berkeley EECS, aims to build a new backbone for interconnected cloud computing, a milestone that would revolutionize the industry. The lab will leverage distributed systems, programming languages, security, and machine learning to decouple the services that companies want to implement from the choice of a specific cloud, with the goal of transforming the cloud into an undifferentiated commodity, much like the Internet. Google, IBM, Intel, Samsung SDS, and VMware are among the founding sponsors of the lab. The lab's team is comprised of over 60 members, including students, staff, and EECS faculty like Alvin Cheung, Natacha Crooks, Ken Goldberg, Joseph Gonzalez, Joe Hellerstein, Mike Jordan,  Anthony Joseph, Raluca Ada Popa, Koushik Sen, Scott Shenker, and Dawn Song. CS Prof. Ion Stoica, who will lead the lab, says “Sky will knock out current barriers and accelerate the transition to the cloud, which will accelerate the progress across different fields.”

EECS Assistant Prof. Nika Haghtalab and CS Assistant Prof. and Associate Prof. in the School of Information, David Bamman, are quoted in a Computing, Data Science, and Society (CDSS) article about the resiliency and determination of the 2022 graduating class, particularly during the pandemic. “This generation of students has persevered, despite these global challenges, to forge a real community with their peers,” said Bamman. They also anticipated the ways the graduates will use their new skills to shape our collective future. “We need graduates who understand the technical methods of data science, their limitations and sources of bias, and the broader context in which information is used to drive policy, inform decision-making, and shape opinion,” Bamman said.  Haghtalab noted that “this is a great time to enter the workforce and contribute to the shaping of data science and computing for the advancement and betterment of the world.”

EECS graduate student Shiekh Zia Uddin (advisor: Ali Javey) has won a Materials Research Society (MRS) 2022 Graduate Student Gold Award.  These awards recognize "students of exceptional ability who show promise for significant future achievement in materials research."  Uddin works in the areas of photophysics and optoelectronics of low dimensional semiconductors, with a focus on the photophysics of low-dimensional excitonic materials.  He was honored for research which demonstrated that two-dimensional monolayer semiconductors can be defective yet perfectly bright.   The award, which comes with comes with a $400 prize, will be presented at the 2022 MRS Fall Meeting in November.