News

Campus Shutdown Notice

In light of the ongoing coronavirus (COVID-19) situation, we have decided to close our administrative offices starting Monday, March 16, 2020 until further notice.  Cory and Soda Hall are closed.  Classes are being held remotely.  All events in Cory and Soda Halls will either be cancelled or held remotely, and staff will be working remotely during this time.

Gitanjali Swamy is one of the most Influential Indian Women in Technology in 2020

EECS alumna Gitanjali Swamy (Ph.D. '96, advisor: Robert Brayton) has been named one of the most Influential Women in Technology in 2020 by India's Analytics Insight magazine.   She was recognized for "helping enterprises realize their potential through the 'Innovation of Things (IoT).'"  Swamy is the Managing Partner of IoTask, which provides consulting and other advisory services (including a complete methodological guide at the policy and business-planning stage) in areas like Internet of Things, Mobile, and Analytics. She focuses on innovation for environmental, social, governance (ESG) and public-private projects.  Swamy also currently serves as the representative to the EQUALS Coalition of the United Nations, where she chairs the Gender Equitable Investment Working Committee, Research Fellow, and Director at Harvard’s Private Capital Research Institute and the Co-founder of UC Berkeley’s Witi@UC Initiative.  She has founded, built and was Board Director for a number of innovation enterprises, for which she led investment execution from seed stage to over US$1 billion. She was also involved in the formation of MIT’s Opencourseware, the Auto-ID consortium, and the MIT Engine investment vehicle, and has held operating roles at MathWorks and Mentor Graphics.  

Victor Han selected runner-up for ISMRM I.I. Rabi Award

Third year EECS PhD candidate Victor Han (advisor: Prof. Chunlei Liu) was selected as a finalist for the International Society of Magnetic Resonance in Medicine (ISMRM) I.I. Rabi Young Investigator Award for original basic research.  He was chosen for his paper entitled “Multiphoton Magnetic Resonance Imaging,” in which he developed a novel technique that excites multiphoton resonances to generate signal for MRI by using multiple magnetic field frequencies, none of which is near the Larmor frequency. Only the total energy absorbed by a spin must correspond to the Larmor frequency. In contrast, today’s MRI exclusively relies on single-photon excitation. He was named runner-up at the ISMRM annual conference in early August.  Han will continue to develop his multiphoton technique and is exploring its applications in medicine and neuroscience as a part of his PhD dissertation research.  The ISMRM is a multi-disciplinary nonprofit professional association that promotes innovation, development, and application of magnetic resonance techniques in medicine and biology throughout the world. 

Peter Bartlett and Bin Yu to lead $10M NSF/Simons Foundation program to investigate theoretical underpinnings of deep learning

The National Science Foundation (NSF) and the Simons Foundation Division of Mathematics and Physical Sciences are partnering to award $10 million to fund research in the Mathematical and Scientific Foundations of Deep Learning, led by CS Prof. Peter Bartlett and EECS Prof. Bin Yu.  Both professors hold joint appointments in the Department of Statistics.  The researchers hope to gain a better theoretical understanding of deep learning, which is part of a broader family of machine learning methods based on artificial neural networks that digest large amounts of raw data inputs and train AI systems with limited human supervision. Most of the research and education activities will be hosted by the Simons Institute for the Theory of Computing, in the form of structured programs of varying themes.  Other participating institutions will include Stanford, MIT, UCI, UCSD, Toyota Tech in Chicago, EPFL in Switzerland, and the Hebrew University in Israel.

Brian Harvey wins NTLS Education Technology Leadership Award

CS Teaching Prof. Emeritus Brian Harvey has been awarded the National Technology Leadership Summit (NTLS) Education Technology Leadership Award, which recognizes individuals who made a significant impact on the field of educational technology over the course of a lifetime.  The award is NTLS's highest honor.  Harvey wrote the "Computer Science Logo Style" textbook trilogy in the 1980s, which uses the Logo programming language (a subdialect of Lisp which had been created for elementary school children) to teach computer science concepts to more advanced students.   He designed UCBLogo in 1992, a free, open-source programming language that is now the de facto standard for Logo, and won the Berkeley Distinguished Teaching Award in 1995.  He then collaborated with award co-recipient Jens Möenig to develop the block programming language Snap!, which makes advanced computational concepts accessible to nonprogrammers.  It is used in the highly successful class "Beauty and Joy of Computing," which was developed at Berkeley to introduce more diverse audiences to CS. The class is approved for AP credit and, with support from the NSF, has been provided to more than one thousand high school CS teachers nationwide.  Harvey says “Languages in the Logo family, including Scratch and Snap!, take the position that we’re not in the business of training professional computer programmers. Our mission is to bring programming to the masses.”

Ava Tan wins DRC 2020 Best Paper Award

EECS graduate student Ava Jiang Tan (advisor: Sayeef Salahuddin) has won the 2020 Best Paper Award at the 78th Device Research Conference (DRC) for "Reliability of Ferroelectric HfO2-based Memories: From MOS Capacitor to FeFET."  The paper, co-authored by Profs. Salahuddin and Chenming Hu, grad student Yu-Hung Liao, postdoc Jong-Ho Bae, and Li-Chen Wang of MSE, introduces nonvolatile ferroelectric field-effect transistors (FeFETs) which boast impressive programmability and a strong potential for further scalability.  The paper also demonstrates for the first time a systematic, reliable, and rapid method to qualitatively predict the FE endurance of prospective gate stack designs prior to running a full FeFET fabrication process.  Tan works in the Laboratory for Emerging and Exploratory Devices (LEED), and is particularly interested in the architectural potential of nonvolatile ferroelectric CMOS-compatible memories for realizing brain-inspired computing paradigms and energy-efficient hardware for deep learning. The DRC, which is the longest-running device research meeting in the world,  was held in June.

Simons Institute for the Theory of Computing receives new $35.5M grant

The Simons Institute for the Theory of Computing, under the direction of CS Prof. Shafi Goldwasser, has been awarded a $35.5 million grant by the Simons Foundation to fund a second decade of groundbreaking research and innovation. The grant, which will begin in 2022, will support the institute's mission and activities for another ten years, and bring the Foundation's support of the institute upf to $100 million.  Launched in 2012, the Simons Institute quickly established itself as the global center for collaborative research in theoretical computer science and its impact on science, mathematics, engineering, and society.  "We owe so much to the original leadership team," said Goldwasser, "Richard Karp, Alistair Sinclair, Christos Papadimitriou, and Luca Trevisan — as well as the current associate director, Peter Bartlett, and senior scientist Prasad Raghavendra, and the numerous brilliant scientists who have led and participated in programs over the years. The Institute was originally created to strengthen the computing theory community, and the community continually pays  this back in the form of excellent work."

Vikram Iyer named 2020 Marconi Society Young Scholar

EECS alumnus Vikram Iyer (B.S. '15) has won a Marconi Society Paul Baran Young Scholar Award, which honors "the world's most innovative young engineers in Information and Communications Technology (ICT)." Iyer's research focusses on bio-inspired and bio-integrative wireless sensor systems that enable traditionally stationary Internet of Things (IoT) devices to move, "putting a new and scalable category of data collectors into the world to help us understand our environment at scale and with a fine degree of detail."  When Iyer was a student at Berkeley, he was a TA for EE16A and an undergraduate researcher for Prof. Bernhard Boser.  He is now a graduate student at the University of Washington.

Umesh Vazirani to help lead $25 million quantum computing center

The National Science Foundation (NSF) has awarded UC Berkeley $25 million over five years to help lead the establishment of a multi-university institute focused on advancing quantum science and engineering.  EECS Prof. Umesh Vazirani, who is co-director of the Berkeley Quantum Computation Center (BQIC) and leads the quantum computing effort at the Simons Institute for the Theory of Computing (SITC), will serve as co-director of the new institute.  Other participants from EECS will include Prof. Ming Wu, Prof. Shafi Goldwasser, Prof. John Kubiatowicz, and Associate Prof. Boubacar Kanté. The center will be one of three Quantum Leap Challenge Institutes (QLCI) designed as part of the federal government's effort to accelerate the development of quantum computers, train a future workforce to build and use them, and position them to be as ubiquitous as smart phones.  The new institute for Present and Future Quantum Computation will connect Berkeley, UCLA, UCSB, USC, Caltech, UT Austin, MIT, and UW, to combine the talents of top experimental and theoretical scientists in the fields of computer science, chemistry, physics, materials science, engineering and mathematics, to solve problems and devise strategies around this currently rudimentary technology.   Attaining a better understanding of its computational capabilities will require a major increase in the number of computer scientists involved in asking and answering questions.  “Realizing the full power of quantum computation requires development of efficient schemes for correction of errors during operation of quantum machines, as well as protocols for testing and benchmarking," said Vazirani. “Translating this remarkable ability of quantum computers into actually solving a computational problem is very challenging and requires a completely new way of thinking about algorithms.”

Rikky Muller named 2020 N2 Women Rising Star in Computer Networking and Communications

Assistant Prof. Rikky Muller has been selected as one of ten Rising Stars in Computer Networking and Communications in 2020 by N2 Women (Networking Networking Women), a discipline-specific community of researchers in the fields of networking and communications.  Muller was nominated "for her impressive achievements in development of wirelessly connected and wirelessly powered implants--important components for the medicine of the future. Besides academic achievements she has proven her abilities as entrepreneur being co-founder and CTO of a successful company bringing some of her ideas to the level of real product. She can literally 'infect' people with her ideas and enthusiasm, which makes her a greater motivator and supervisor of students."  N² "Rising Stars" have less than ten years of professional experience after completing their Ph.D.s ("Stars" have ten years or more of professional experience).  Prof. Sylvia Ratnasamy was named a Rising Star in 2016 and a Star in 2019.

Rikky Muller wins 2020 McKnight Technology Award

Assistant Prof. Rikky Muller has won a 2020 McKnight Technological Innovations in Neuroscience Award from the McKnight Endowment Fund for Neuroscience (MEFN).  These awards recognize groundbreaking projects that have the potential "to fundamentally change the way neuroscience research is conducted."  Muller is designing and building a high-speed holographic projector that can stream 3D light into the brain at neural speeds, many times faster than current projectors, and so manipulate and test thousands of optogenetically-controlled neurons with pinpoint accuracy.  She will receive a total of $200k over the next two years to support her groundbreaking research.