honors

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

Bin Yu chosen as speaker for 2023 Wald Lectures

EECS Prof. Bin Yu (Statistics M.A. '87/Ph.D. '90) has been chosen by the Institute of Mathematical Statistics (IMS) to present the 2023 Wald Memorial Lectures.  Considered the highest honor bestowed by the IMS, a single Wald Lecturer is selected annually to deliver a series of one, two, three or four one-hour talks on a single topic of unusual interest over multiple days at the IMS Annual Meeting in Probability and Statistics.  This format allows speakers to break down complex subject matter in a way that makes it more accessible to non-specialists.  The honor is named for Abraham Wald, the mathematician who founded the field of statistical sequential analyses.  Yu, who has a joint appointment in the Department of Statistics, is focused on solving high-dimensional data problems through developments of statistics and machine learning methodologies, algorithms, and theory. Her group is engaged in interdisciplinary research with scientists from genomics, neuroscience, and medicine.

Audrey Sillers wins 2022 BSA Excellence in Management Award

Audrey Sillers, the EECS Director of Student Diversity, has won a Berkeley Staff Assembly (BSA) 2022 Excellence in Management (EIM) Award.  This award "honors exemplary non-academic managers and supervisors who have led their teams and team members to meaningful accomplishments this past year."  The 2022 theme, building and maintaining community, highlights leaders "who demonstrate and encourage flexibility, adaptiveness, supportiveness, compassion, understanding, work-life balance, and well-being." Sillers, who was nominated by her team, will be honored at a live-streamed ceremony on May 3rd. "Audrey exemplifies so many of the UC Berkeley Principles of Community, not in a self-conscious way, but just in the way that she operates in the world as a person," said one of her coworkers.  "Audrey’s passion for diversity and her openness to her staff developing their own capacities to do better work as advisors to a very diverse student population has been inspirational. Having such a supervisor makes a tremendous difference."

Alisha Menon wins 2022 Outstanding Graduate Peer Mentor Award

EECS Ph.D. candidate Alisha Menon (M.S. '20, advisor: Jan Rabaey) has won a 2022 Outstanding Graduate Peer Mentor Award.  This award, presented by The Graduate Assembly, honors four Berkeley graduate and professional students annually "who have shown an outstanding commitment to mentoring, advising, and generally supporting either undergraduate students or their fellow graduate students."  Menon's research is in the area of neural engineering, an interdisciplinary field centered on the interface between humans and computers.  Her focus is on digital integrated circuits and systems for biomedical applications, specifically the intersection of hardware-efficient machine learning algorithms, physiological sensor fusion, gesture recognition, and closed-loop neural prosthetic feedback.  Menon won an NSF Graduate Research Fellowship and UC Berkeley Fellowship in 2018.  She is also an accomplished theater actress and Indian Classical dancer.

Pieter Abbeel wins 2021 ACM Prize in Computing

EECS Prof. Pieter Abbeel is the recipient of the 2021 Association for Computing Machinery (ACM) Prize in Computing.  This award  recognizes an early to mid-career computer scientist whose has made "a fundamental innovative contribution in computing that, through its depth, impact and broad implications, exemplifies the greatest achievements in the discipline."  Abbeel is known for his pioneering approaches to robot learning, including teaching robots through human demonstration (“apprenticeship learning”) and through their own trial and error (“reinforcement learning”).  He has created robots that can perform surgical suturing, detect objects, and plan their trajectories in uncertain situations. More recently, he introduced “few-shot imitation learning,” where a robot is able to learn to perform a task from just one demonstration after having been pre-trained with a large set of demonstrations on related tasks.  He is also credited with the innovation of combining reinforcement learning with deep neural networks to usher in the new field of deep reinforcement learning, which can solve far more complex problems than computer programs developed with reinforcement learning alone.  These contributions have formed the foundation of contemporary robotics and continue to drive the future of the field.  Abbeel is also the Co-Founder, President and Chief Scientist at AI robotics company Covariant. The ACM Prize in Computing  The award carries a prize of $250,000, from an endowment provided by Infosys Ltd.

Berkeley EECS ranks 1 & 2 in 2023 US News graduate rankings

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.

Aviral Kumar, Serena Wang and Eric Wallace win 2022 Apple Scholars in AI/ML PhD fellowships

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.

Alberto Sangiovanni-Vincentelli awarded AGH UST Honorary Doctorate

EECS Prof. Alberto Sangiovanni-Vincentelli will receive an Honorary Doctorate, or Doktor Honoris Causa, from AGH University of Science and Technology in Krakow, Poland on March 18th.  AGH UST includes engineering disciplines, exact sciences, Earth sciences, and social sciences, with an emphasis on current priorities of economy and business, and it regularly ranks first among Polish technical universities in international rankings. Sangiovanni-Vincentelli, an expert in electronic design automation, co-founded both Cadence Design Systems and Synopsys, Inc.  He has also been awarded Honorary Doctorates by the combined EE and CS departments of the University of Aalborg in Denmark (2009) and from KTH in Sweden (2012).

Chandan Singh is 2022 Berkeley Grad Slam Competition semi-finalist

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.

Steven Conolly awarded 2022 Bakar Prize

EECS and Bioengineering Prof. Steven Conolly has been awarded the 2022 U.C. Berkeley Bakar Prize.  This prize is given annually to former Bakar Program Fellows whose technological innovations promise to deliver solutions to some of the world’s most pressing problems.  Funds are provided to help new technologies transition from an academic setting to industrial applications.  The objective of Conolly's project, titled Rapid in vivo optimization of solid tumor CAR-T cell therapies using advanced magnetic particle imaging (MPI),  is to determine whether a particular CAR-T cell cancer immunotherapy is working in hours rather than months.  CAR-T cells are tagged with safe magnetic nanoparticles before a treatment is administered so that oncologists can view how well they are targeting cancer cells using high resolution imaging technology.

Colin Parris elected to the NAE

EE alumnus Colin Parris (M.S. '87, Ph.D. '94, advisor: Domenico Ferrari) has been elected to the National Academy of Engineering (NAE).  After a career at IBM Systems & Technology and General Electric (GE) Research, Parris is currently Senior Vice President and Chief Technology Officer at GE.  He is known for his life-long commitment to "the development and enhancement of STEM programs across minority communities," and serves as a board member of the Annual Multicultural Business Youth Educational Services Embarkment (Ambyese), which prepares multicultural secondary school students for the challenges of pursuing careers in the corporate sector through self-esteem-building and exposure to successful role models in industry.  While a student Berkeley, Parris helped start the Summer Undergraduate Program in Engineering Research at Berkeley (SUPERB) and was deeply involved with the group Black Graduate Engineering and Science Students (BGESS).  At GE, Parris, whose expertise spans engineering, software, and AI-driven analytics, leads teams that leverage digital technologies in the energy industry and other industrial environments.  He created and leads the Digital Twin Initiative company-wide and is currently working to "accelerate business impact and transformation by combining lean principles with digital solutions."