EECS Teaching Professor Gireeja Ranade has received the Faculty Award for Outstanding Mentorship of GSIs. The annual award, which is sponsored by the Graduate Council’s Advisory Committee for GSI Affairs and the GSI Teaching & Resource Center, recognizes faculty who have provided GSIs outstanding teaching and pedagogical mentorship at Berkeley and in preparing for teaching in future careers.

The U.S. News & World Report ranked both the Electrical Engineering and Computer Science graduate programs at Berkeley EECS among the top three graduate programs in the nation for 2023. Computer Science is ranked #1, tied with MIT and Stanford. Electrical Engineering and Computer Engineering are ranked #2, tied with Stanford. The magazine based its rankings on responses from 202 engineering schools across the country, including data from fall 2022 and early 2023. This year, U.S. News included non-responders from the 220 schools surveyed, so long as they reported enough data to be eligible in 2022.

CS Professor Venkatesan Guruswami has won the 2023 Guggenheim Fellowship for his research proposal on mathematical computer science titled, “Mathematical Structure and Efficient Algorithms:  The Polymorphic Gateway.” The fellowship is awarded by the John Simon Guggenheim Memorial Foundation on the basis of "prior achievement and exceptional promise." Professor Guruswami is a Chancellor’s Professor and a senior scientist at the Simons Institute for the Theory of Computing. “I’m really delighted and grateful to be chosen for this Fellowship, and honored to join its distinguished roster of past recipients,” said Guruswami.

CS Professor Jelani Nelson has won the Association for Computing Machinery Special Interest Group for Algorithms and Computation Theory (ACM-SIGACT) Distinguished Service Award. Nelson was cited “for outstanding contributions to broadening participation in computer science, and in theoretical computer science in particular.” Awarded annually, the SIGACT Distinguished Service Award is given to those who have made "substantial contributions to the Theoretical Computer Science community.” Nelson founded AddisCoder, a summer program that aims to introduce high school students in developing countries to the fundamentals of computational thinking. The program, which began in Ethiopia, has educated more than 500 students and has recently extended to Jamaica. Nelson also co-founded the David Harold Blackwell Summer Research Institute, whose internship opportunities serve undergraduates across the U.S. with the goal of increasing African American students that pursue graduate studies in mathematical sciences.

EECS Faculty will headline a new AI lecture series to explore the “paradigm shift” that ChatGPT and other large language models (LLMs) have catalyzed. CS Professors Jitendra Malik, Stuart Russell and Michael Jordan are among the seven speakers scheduled this spring to address the sensation that is ChatGPT and other related LLMs. CS Professor Ken Goldberg, who organized the lecture series on behalf of Berkeley Artificial Intelligence Research (BAIR), said, “Something changed very dramatically with the performance of ChatGPT, compared with previous large language models, and everyone, including experts, is asking, ‘What does it mean? Where do we go from here?’” The series will also feature John Schulman (Ph.D. ‘16; advisor: Pieter Abbeel), a co-founder of OpenAI and the primary architect of ChatGPT. “Everyone wants to hear from the experts,” Goldberg said. “There are so many misconceptions out there. In the series, we’ll hear from those who have been working in the field for many years who can provide valuable perspectives on the importance of ChatGPT.”

Professor Joshua Hug has won the University of California, Berkeley Distinguished Teaching Award. Presented by the Academic Senate, the Distinguished Teaching Award (DTA) is considered UC Berkeley’s most prestigious award for teaching. The DTA recognizes individual faculty “for sustained excellence in teaching.” Recipients are among the brightest teaching stars on campus, widely recognized for their inspiring and transformational teaching. The highly selective, multi-phase nomination process seeks teachers who incite intellectual curiosity and whose teaching has a life-long impact. Only 223 faculty have received the award since its inception in 1959, including several from Berkeley EECS. Hug is known for teaching CS 61B, an introductory computer science course on data structures that regularly enrolls over 1500 students each spring. DTA  winners are frequently called upon by the campus community to provide a voice on issues related to teaching. They serve on forums, panels, and committees involving teaching issues, and they are advocates for excellence in teaching at Berkeley.

The Committee of Presidents of Statistical Societies (COPSS) has selected Bin Yu, Professor of EECS and Statistics, for the 2023 Distinguished Achievement Award and Lectureship (DAAL). Formerly known as the R. A. Fisher Award and Lectureship, the DAAL recognizes meritorious achievement and scholarship in statistical science and recognizes the highly significant impact of statistical methods on scientific investigations. She will deliver the DAAL Lecture at JSM in 2023 on veridical data science. Yu’s research focuses on practice, algorithm, and theory of statistical machine learning, interpretable machine learning, and causal inference. Her group is engaged in interdisciplinary research with scientists from genomics, neuroscience, and precision medicine. She and her group have developed the predictability, computability, and stability (PCS) framework for veridical data science toward responsible, reliable, and transparent data analysis and decision-making.

EECS Prof. Emeritus Allen Joseph Lichtenberg passed away on February 21, 2023, at age 92. Lichtenberg’s research is associated with high-temperature plasma, nonlinear dynamics, and energy utilization. He had been a part of this research since the inception of these fields,  publishing over 150 articles in the area. His monograph, “Phase Space Dynamics of Particles,” was published by John Wiley & Sons, Inc. in 1969 and was later translated into Russian. His second book, “Regular and Stochastic Motion,” co-authored by Michael Lieberman, was published by Springer-Verlag in 1983 and was also translated into Russian. A second edition was published in 2005, with translations into Chinese and Japanese. Lichtenberg received his A.B. degree from Harvard University in 1952, and his M.S. degree from MIT in 1954. In September 1957 he joined the Department of Electrical Engineering (pre-EECS) as an Acting Assistant Professor. He left in 1959 to obtain his Ph.D. degree in Applied Physics from Oxford University. He returned to the Berkeley campus in 1961. From 1965-1966 he was a John Simon Guggenheim Memorial Foundation Fellow and studied radiation from high-temperature plasmas and phase-space concepts in particle dynamics. He held a Miller Research Professorship during 1968-1969, and he chaired the newly formed campus Energy and Resources Graduate Group from 1974-1978.

EE Profs. Rikky Muller and Jaijeed Roychowdhury have been named winners of the 2023 Bakar Prize. Given annually, the Bakar Prize is designed to give a boost to former fellows as they translate their research into real-world applications, providing additional resources to help transition their work to applications in industry. Muller’s group developed EarEEG, which uses lightweight in-ear earbuds to detect the brain’s electrical activity in a non-invasive way. Roychowdhury’s group invented an Oscillator Ising Machine (OIM), which addresses the scale and expense of “Quantum Annealing” in Quantum computing.

CS Assistant Prof. Angjoo Kanazawa has been selected as a 2023 Alfred P. Sloan Research Fellow in Computer Science. Awarded annually since 1955, the Sloan fellowships honor "the most promising scientific researchers working today...extraordinary U.S. and Canadian researchers whose creativity, innovation, and research accomplishments make them stand out as the next generation of scientific leaders."  Kanazawa's research lies at the intersection of computer vision, computer graphics, and machine learning. She is focused on building systems that can capture, perceive, and understand the complex ways that people and animals interact dynamically with the 3-D world–and can use that information to correctly identify the content of 2-D photos and video portraying scenes from everyday life. Sloan Fellows receive $75,000, which may be spent over a two-year term on any expense supportive of their research.