News

CS Prof-Led proposal wins California Education Learning Lab award of up to $650,000

A CS Prof.-led proposal has been selected to receive a California Education Learning Lab award of up to $650,000. The proposal, “A’s-for-All (A4A): Scaling Mastery Learning Through Technology, Advocacy, Policy, and Partnerships” was led by CS Profs. Armando Fox and Dan Garcia in partnership with California State University, Long Beach, and El Camino College. The grant is designed to scale successful Learning Lab projects, expanding the positive impacts of STEM in public higher education. A4A proposes to build upon an open-source technology platform from UIUC to reorient formative and summative assessment toward mastery learning, ultimately providing students every opportunity to learn and demonstrate proficiency in various areas of introductory computer science courses. The scaling proposal will develop concept mapping tools so that faculty and students can track progress in student learning, and implement automated approaches to provide more flexibility for the ways in which students are able to demonstrate proficiency/mastery of the course.

EECS faculty applaud graduates’ resilience

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.”

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.

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.

Robots, AI and podcasting: a Q&A with Pieter Abbeel

EECS Prof. Pieter Abbeel launched “The Robot Brains Podcast” in the spring of 2021.   In each episode, he is joined by leading experts in AI Robotics from around the world to explore how far humanity has come in its mission to create conscious computers, mindful machines and rational robots.  Abbeel sits down for a Q&A with Berkeley Engineering, in which he discusses his experience with podcasting and how it has shaped his own thinking about communicating AI to a broader audience.

3 UC Presidents and Gary S. May

UC Davis Chancellor and EECS alumnus Gary S. May (M.S. '88/Ph.D. '91, advisor: Costas Spanos) took the stage with UC President Michael V. Drake and Presidents Emeriti Janet S. Napolitano and Mark G. Yudof  for the UCD Chancellor's Colloquium on March 8th.  The four discussed the challenges they faced and lessons learned during their tenures in office.  Topics included the impact of the pandemic on campus communities, the importance of public health, and the efficacy of remote learning; the university's federal lawsuit over the Deferred Action for Childhood Arrivals (DACA) program; approaches to managing UC funding cuts, including maintaining access to retirement plans and student aid;  and America's cultural and democratic future, including ways that universities might help shape it.

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).

Marti Hearst is named iSchool's new head of school

CS Prof. and alumna Marti Hearst (B.A. '85/M.S. '89/Ph.D. '94, advisor: Robert Wilensky) has been named the new head of school for UC Berkeley's School of Information (iSchool).   Hearst, who was the iSchool's first assistant professor in 1997, is taking over the position from CS Prof. Hany Farid.  She will manage the day-to-day operations of the unit, which is an affiliate of the Division of Computing, Data Science, and Society (CDSS),  and communicate its vision on and off campus.  Hearst is known for her work automating sentiment analysis and word sense disambiguation. She invented an algorithm known as “Hearst Patterns," which is used in commercial text mining operations, and developed a now commonly-used automatic text segmentation approach called TextTiling.   She will serve as head of school through June 30, 2023.

2022 Diversity in Tech Symposium: Advancing Climate Resilience - March 10-11th

A number of EECS faculty and students are slated to participate in the 2022 Diversity in Tech Symposium, which will be held virtually on March 10 & 11.  This year's theme is "Advancing Climate Resilience."  EECS Prof. Tsu-Jae King Liu, dean of Berkeley Engineering, will warm up the audience with a fireside chat on the symposium's topic;  EECS Prof. Costas Spanos, director of the CITRIS and Banatao Institute, will welcome participants to the second day of the event;  Adjunct Prof. Sascha von Meier will participate in the UC Berkeley-hosted panel Getting to zero: Trends in the built environment; and senior EECS major Katherine Shu will represent WiCSE in a presentation on the Career Fair.  The symposium is open to the public and anyone interested in climate innovation and action, and the advancement of women and underrepresented communities working in technology fields, is encouraged to attend.

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.