honors

Honors, awards, grants, and other indications of respect.

Avishay Tal named 2022 Sloan Research Fellow in Computer Science

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.

Pilawa Research Group paper wins 1st place 2020 PELS Transactions Prize Paper Award

Researchers from the Pilawa Research Group, including EECS alumnus Nathan Pallo (Ph.D. '21), EECS Associate Prof.  Robert Pilawa-Podgurski, and former postdoc Tomas Modeer, have won one of four 1st place 2020 IEEE Power Electronics Society (PELS) Transactions Prize Paper Awards.   Their paper, which was co-authored by Pilawa-Podgurski's UIUC graduate students, Tom Foulkes and Chris Barth,  is titled "Design of a GaN-Based Interleaved Nine-Level Flying Capacitor Multilevel Inverter for Electric Aircraft Applications." This award is considered the top publication award in the field of power electronics, and is known for it's rigorous evaluation process, which recognizes "originality; contribution to the field; extent to which the paper is supported by analysis and experimental evidence; and quality of presentation, including the effective use of illustrations."  The winners of the 2020 award were selected from a pool of 1,148 papers.

Aditya Parameswaran wins 2022 IIT Bombay Young Alumni Achievers Award

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.

Sergey Levine, Nilah Ioannidis, and Dorsa Sadigh awarded 2022 Okawa Research Grants

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.

professor edward lee

Ed Lee wins 2022 EDAA Lifetime Achievement Award

EECS alumnus, Professor in the Graduates School,  and EE Prof. Emeritus Edward A. Lee (Ph.D. 1986, advisor: David Messerschmitt) has won the 2022 European Design and Automation Association (EDAA) Achievement Award.  This award recognizes individuals who have "made outstanding contributions to the state of the art in electronic design, automation and testing of electronic systems" over the course of their lifetimes, and whose innovative contributions have "had an impact on the way electronic systems are being designed."  Lee is known for his advocacy of deterministic models for the engineering of cyber-physical systems.  He led the Ptolemy Project, which developed Ptolemy II, an influential open-source model-based design and simulation tool which was used as the basis for the Kepler scientific workflow system.  He is a principal investigator for the Berkeley Industrial Cyber-Physical Systems Research Center (iCyPhy), which conducts "pre-competitive research on architectures and design, modeling, and analysis techniques for cyber-physical systems, with emphasis on industrial applications."  Lee has also written several books, including textbooks on embedded systems and digital communications, as well as books for general audiences that explore the relationship between technology and people.

Ruzena Bajcsy and Eric Brewer named 2021 AAAS Fellows

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.

Marti Hearst inducted into 2021 ACM SIGIR Academy inaugural class

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.

Jelani Nelson wins 2022 CRA-E Undergraduate Research Faculty Mentoring Award

CS Prof. Jelani Nelson has won the 2022 Computing Research Association Education (CRA-E) Undergraduate Research Faculty Mentoring Award.  This award recognizes "individual faculty members who have provided exceptional mentorship, undergraduate research experiences and, in parallel, guidance on admission and matriculation of these students to research-focused graduate programs in computing."  Nelson was cited for exceptional mentoring of undergraduate students at a time when "interest in graduate school and research careers is relatively low" and graduate students are crucially needed for "the health of the computing research pipeline."  The award will be presented at a conference later this year.

Eric Fosler-Lussier and Luca Daniel named 2022 IEEE Fellows

Alumni Eric Fosler-Lussier (Ph.D. 1999, advisor: Nelson Morgan) and Luca Daniel (Ph.D. 2003, advisor: Alberto Sangiovanni-Vincentelli) have been named 2022 Fellows of the Institute of Electrical and Electronics Engineers (IEEE).  The grade of Fellow is conferred upon a members of IEEE "with an outstanding record of accomplishments in any of the IEEE fields of interest."  Fosler-Lussier, now a professor Computer Science and Engineering, Biomedical Informatics, and Linguistics, and the Associate Chair of Computer Science and Engineering at Ohio State University, was cited "for contributions to spoken language technology by integrating linguistic models with machine learning." Daniel, now a professor of Electrical Engineering and Computer Science at MIT, was cited "for contributions to modeling and simulation of electronic systems."  IEEE is the world’s largest technical professional organization for electronic and electrical engineers.

Laura Waller, Sarah Chasins and Nilah Ioannidis named Chan Zuckerberg Biohub Investigators

CS Associate Prof. Laura Waller, and Assistant Profs. Sarah Chasins and Nilah Ioannidis, are among the newest cohort of scientists to be named Chan Zuckerberg Biohub Investigators.  The Chan Zuckerberg Biohub Investigator Program, open to faculty from Stanford, UCSF, and UC Berkeley, funds "innovative, visionary research with the goal of building and sustaining an engaged, interactive, and collaborative community of researchers that spans across disciplines and across the three campuses to help solve critical challenges in biomedicine."  Waller leads the Computational Imaging Lab, which develops new methods for optical imaging designed jointly with optics and computational algorithms; Chasins' research focuses on programming languages and program synthesis, with an emphasis on work that brings together programming systems, HCI, and data science; and Ioannidis works on computational methods for personal genome interpretation, including machine learning tools to predict the clinical significance of rare genetic variants of unknown significance and statistical methods to link genetic variation with personal complex disease risks.  Recipients  receive $1M in unrestricted gift funds over a nonrenewable 5-year term ($200,000 per year).