Berkeley EECS is once again ranked as the #1 Electrical/Electronic/Communications Engineering graduate program in the country for 2023, tied with MIT and  Stanford.  The Berkeley Computer Engineering graduate program ranked #2 (tied with Stanford), as did the Computer Science graduate program (tied with Carnegie Mellon and Stanford).  Berkeley Engineering, as a whole, again ranked #3.

Three EECS graduate students, Aviral Kumar (advisor: Sergey Levine), Serena Wang (advisors: Rediet Abebe and Michael Jordan), and Eric Wallace (advisors: Dan Klein and Dawn Song) have been named 2022 recipients of the Apple Scholars in AI/ML PhD fellowship.  This fellowship recognizes graduate and postgraduate students in the field of Artificial Intelligence and Machine Learning who are "emerging leaders in computer science and engineering" as demonstrated by their "innovative research, record as thought leaders and collaborators, and commitment to advance their respective fields."  Kumar is working in the area of "Fundamentals of Machine Learning" to develop "reinforcement learning algorithms and tools that enable learning policies by effectively leveraging historical interaction data and understanding and addressing challenges in using RL with deep neural nets." Wang is working in the area of "AI for Ethics and Fairness" to "foster positive long-term societal impact of ML by rethinking ML algorithms and practices, employing tools from robust optimization, constrained optimization, and statistical learning theory."  Wallace is working in the area of "Privacy Preserving Machine Learning," to make "NLP models more secure, private, and robust." Apple Scholars receive support for their research, internship opportunities, and a two-year mentorship with an Apple researcher in their field.

CS graduate student Chandan Singh (advisor: Bin Yu) has made it to the semi-finals of the 2022 Berkeley Grad Slam Competition, a UC showcase for graduate student research presented in three-minute talks for a general audience, likened to short Ted Talks.  In "Unlocking Scientific Secrets by Distilling Neural Networks," Singh hopes to build on recent advances in machine learning to improve the world of healthcare.   His research focuses on how to build trustworthy machine-learning systems by making them more interpretable through partnerships with domain experts (e.g. medical doctors and cell biologists). These collaborations give rise to useful methodology that both build more transparent models as well as improve the trustworthiness of black-box models. He hopes to help bridge the gap between both types of models so that they can be reliably used to improve real-world healthcare.

CS Prof. Emeritus and Prof. in the Graduate School Scott Shenker has won the 2022 UC Berkeley Fiat Lux Faculty Award.  This achievement award, which is co-presented by the UC Berkeley Foundation and the Cal Alumni Association, recognizes a "faculty member whose extraordinary contributions go above and beyond the call of duty to advance the university’s philanthropic mission and transform its research, teaching, and programs."  Shenker, who is the Research Director of Extensible Internet at the International Computer Science Institute (ICSI), is known for his research contributions in the areas of energy-efficient processor scheduling, resource sharing, and software-defined networking.  He is a leader in the software-defined networking (SDN) technology movement and a co-founder of the open-source non-profit Open Networking Foundation (ONF), which sets standards and promotes SDN in anticipation of problems that arise when cloud computing blurs distinctions between computers and networks.  Shenker is also known for his philanthropic support of the university, including a donation of $25M toward the construction the new Division of Computing, Data Science, and Society (CDSS) building last June.  The award will be presented at the Berkeley charter Gala on May 12th.

EECS Prof. Katherine Yelick has won the 2022 CRA Distinguished Service Award.  This award recognizes "a person or organization that has made an outstanding service contribution" with a major impact "to the computing research community" in the areas of government, professional societies, publications, conferences, or leadership.  Yelick has been a professor in the department since 1991,  and was the Associate Laboratory Director for Computing Sciences at Lawrence Berkeley National Laboratory (LBNL).  She is known as the co-inventor of the UPC and Titanium languages and demonstrated their applicability through the use of novel runtime and compilation methods.  She also co-developed techniques for self-tuning numerical libraries.  She is the co-author of two books and more than 100 refereed technical papers on parallel languages, compilers, algorithms, libraries, architecture, and storage.

CS Assistant Prof. Avishay Tal has been selected as a 2022 Alfred P. Sloan Research Fellow in Computer Science.   This award recognizes outstanding early-career faculty for their "potential to revolutionize their fields of study."  Tal is a member of the Theory group;  his interests include computational complexity, analysis of boolean functions, circuit and formula lower bounds, query complexity, pseudorandomness, computational learning theory, quantum computing, combinatorics, and connections between algorithms and lower bounds.  He is among 4 winners from UC Berkeley representing the fields of CS, math, physics, and neuroscience.  Winners receive $75K, which may be spent over a two-year term to support their research.

EECS Associate Prof. Aditya Parameswaran has been selected to receive the Young Alumni Achievers Award from the Indian Institute of Technology (IIT), Bombay.  This award "recognizes and celebrates the outstanding achievements of [IIT's] young alumni in their chosen field of endeavor."  Parameswaran, who has a joint appointment at the I School, synthesizes techniques from data systems and human-computer interaction to develop tools to simplify data science at scale.  His tools, which have been downloaded and employed by millions of users, empower "individuals and teams to leverage and make sense of their large datasets more easily, efficiently, and effectively."  These include the Lux library, an intelligent visualization recommendation system for very large data sets in dataframe workflows, and Modin, a scalable dataframe system which applies database and distributed systems ideas to help run dataframe workloads faster.  The award will be presented during the university's Institute Foundation Day Function on March 10, 2022.

EECS Associate Prof. Sergey Levine, Assistant Prof. Nilah Ioannidis, and alumna Dorsa Sadigh have won 2022 Okawa Research Grants.  These grants recognize "studies and analyses in the fields of information and telecommunications." Levine is doing research on "Offline Reinforcement Learning: Robust and Reliable Decisions from Data," Ioannidis is working on "Genome-Scale Learning of Molecular Phenotypes for Personal Genome Interpretation," and Sadigh, who is now an Assistant Professor of Computer Science at Stanford, is studying "Adaptive Human-Robot Interaction."  They comprise three of the seven U.S. recipients who were awarded $10K grants this year.

EECS Prof. Emeriti Ruzena Bajcsy and Eric Brewer have been named 2021 Honorary Fellows of  the American Association for the Advancement of Science (AAAS), one of the scientific community’s highest honors.  Bajcsy, who was elected in the Engineering category, is known for her pioneering and multidisciplinary contributions to machine perception, robotics and artificial intelligence. Her work in the area of active perception revolutionized the field of robotic sensing and vision, as well as the area of elastic matching, which has advanced the field of medical imaging.  Brewer, who is currently the vice-president of infrastructure at Google, was elected in the Information, Computing and Communication category. He is known for his design and development of highly scalable internet services, and innovations in bringing information technology to developing regions.

CS alumna Prof. Marti Hearst (B.A. '85/M.S '89./Ph.D. '94,  advisor: Robert Wilensky), whose primary appointment is in the School of Information, has been named to the 2021 inaugural class of the ACM Special Interest Group on Information Retrieval (SIGIR) Academy. SIGIR Academy membership recognizes the "principal leaders in IR" who have made "significant, cumulative contributions" to the development of the field, and whose "efforts have shaped the discipline and/or industry through significant research, innovation, and/or service."  Hearst literally wrote the first book on Search User Interfaces in 2009.   She is known for her early work on automating sentiment analysis and word sense disambiguation, including the invention of an algorithm known as "Hearst patterns" which is widely used in commercial text mining applications including ontology learning.  She also developed a now well-known approach to automatic segmentation of text into topical discourse boundaries, called TextTiling.  Hearst is an Edge Foundation contributing author and a member of the Usage panel of the American Heritage Dictionary of the English Language. Her current research interests include user interfaces for search engines, information visualization, natural language processing, and MOOCs.