Once again Berkeley Electrical Engineering ranked #1, and Computer Engineering ranked #2, in the 2022 US News and World Report graduate school rankings. EE tied with MIT and Stanford as the top graduate Electrical/Electronic/Communications Engineering program in the nation, while Computer Engineering tied in second place with Stanford after MIT. The tuition for both Master’s programs at MIT and Stanford cost over $55.5K annually, while Berkeley's costs $11.4K in-state and $26.5 out-of-state per year. Berkeley was ranked as the third best Engineering school overall.

Now in its 11th consecutive year, CS Kickstart held its one-week computer science immersion program earlier this month, ushering in over 95 attendees to the program, a record turnout. The program is designed to introduce female-identifying first-year students to computer science at Berkeley and aims to add more diversity to the field. Completely student-run, they host workshops in Python, web development, electrical engineering, and data science; panel discussions featuring current Ph.D. students and faculty speakers like CS Prof. John DeNero;  field trips, like a community-building experience with the Oakland Athletics, and tours, panels, and Q&A sessions with industry partners, such as SAP Academy and Stitch Fix. “It was amazing to see CS Kickstart held in person again this year and with more students than in previous years!” said EECS Director of Student Diversity, Audrey Sillers.

EECS Prof. Laura Waller is the subject of a feature by the Chan Zuckerberg Initiative titled, “A Day in the Life of an Imaging Scientist: Laura Waller.” In it, Prof. Waller describes her day-to-day while she juggles raising a family, cultivating creativity and collaboration in her labs, and mentoring her graduate students through the pandemic. Waller is known for her work in computational imaging. In 2021, she was elected a Fellow of The American Institute for Medical and Biological Engineering (AIMBE) for her work in computational microscopy. In the same year, she won the Adolph Lomb Medal presented by Optica (formerly the Optical Society of America). “I really love this field, because it’s very creative. There are new ideas and new things to think about all the time, but it’s also grounded in real applications.”

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.

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."

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.

Four EECS students in Robert Pilawa-Podgurski's lab have won best presentation awards for papers they presented at the 2022 IEEE Applied Power Electronics Conference (APEC) in March.  Three Technical Lecture Awards were won by:  undergraduate EECS student Amanda Jackson for "A Capacitively-Isolated Dual Extended LC-Tank Converter with 50% Two-Phase Operation at Even Conversion Ratios;" graduate student Samantha Coday for "Design and Implementation of a (Flying) Flying Capacitor Multilevel Converter;" and graduate student Kelly Fernandez for "A Charge Injection Loss Compensation Method for a Series-Stacked Buffer to Reduce Current and Voltage Ripple in Single-Phase Systems."  Graduate student Rose Abramson won a Technical Dialogue Award for "Core Size Scaling Law of Two-Phase Coupled Inductors — Demonstration in a 48-to-1.8 V MLB-Pol Converter."   The Technical Sessions showcased the best, peer-reviewed papers that described "new design ideas" and "innovative solutions" in "all areas of technical interest for the practicing power electronics professional." The dialogue sessions concentrated on papers "with a more specialized focus."  APEC is the premier conference in the field of power electronics.