Constance Chang-Hasnain wins 2022 Welker Award

EE alumna and EECS Prof. Emerita Constance Chang-Hasnain (Ph.D. '87) has won the 2022 Welker Award at Compound Semiconductor Week (CSW). She was cited “For pioneering contributions to VCSEL photonics, nano-photonics and high contrast metastructures for optical communications and optical sensing.” Vertical-cavity surface-emitting lasers, or VCSELs, are used in many consumer electronics, including 3D smartphone sensors and cars. Established in 1976 in honor of Heinrich Welker, the pioneer of III-V compound semiconductors, the Welker Award is given to those who have made outstanding contributions to the field of III-V compound semiconductors. Prof. Chang-Hasnain currently serves as Chairperson and founder of Berxel Photonics Co. Ltd. She is an NAI Fellow, an IEEE Fellow, and an NAE member. In 2021, she was elected president of Optica (formerly known as the Optical Society of America). 

EECS alum Paul E. Debevec

Paul Debevec to receive Emmy for Lifetime Achievement

EECS alumnus Paul Debevec (Ph.D. ‘96, advisor: Jitendra Malik) will receive the Charles F. Jenkins Lifetime Achievement Award at the Television Academy’s 74th Engineering, Science & Technology Emmy Awards. The award recognizes Debevec for his pioneering work on high dynamic range imaging, image-based lighting, and photogrammetry–techniques that are now standard within the VFX industry for computer-rendered images and graphics. Debevec is also recognized for his work with LED lighting, which “further laid the groundwork” for its use in virtual production, and “has seen a rapid growth as a tool for lighting actors on virtual stages," according to the Television Academy. Debevec is currently the director of research, creative algorithms, and technology at Netflix, and is an adjunct research professor at the USC Institute for Creative Technologies. He received ACM SIGGRAPH's first Significant New Researcher Award in 2001, a Scientific and Engineering Academy Award in 2010, and the SMPTE Progress Medal in 2017. Debevec co-authored the 2005 book, "High Dynamic Range Imaging," chaired the SIGGRAPH 2007 Computer Animation Festival, served as Vice President of ACM SIGGRAPH, as well as co-chair of the Academy of Motion Picture Arts and Sciences Sci-Tech Council. 

EECS alumnus Gary May, Chancellor of U.C. Davis

Gary May and Sheila Humphreys interviewed for Inside Higher Ed

EECS alumnus Gary S. May (M.S. '88/Ph.D. '91, advisor: Costas Spanos), the first Black chancellor of UC Davis, is the focus of an Inside Higher Ed story highlighting the unique bond between three Black Berkeley Engineering alumni in the 1980s, all of whom have gone on to lead top research institutions. Reggie DesRoches has become the president of Rice University, and Darryll Pines is the president of the University of Maryland, College Park. The three met at Berkeley where they studied different fields of engineering. The article describes the unique landscape of diversity in the era before Proposition 209, and interviewed EECS staff emerita, Sheila Humphreys for the story, who was then the EECS director of diversity, as well as Dean Liu who said this past academic year (2021-22) “is the first year that we ended up with a higher percentage [of undergraduate underrepresented minorities] then even before Prop 209.” In fostering the minority engineering programs (MEP) of the 1980s, Sheila attributes the "unwavering administrative support" of the late Dean Pister, and a "comprehensive, whole-student approach."

Leslie Field wins 2022 Mark Shannon Grand Challenges Award

EECS alumna Leslie Field (M.S. '88/Ph.D. 91, advisor: Richard White), the first woman to earn a doctorate from the Berkeley Sensor & Actuator Center (BSAC), has won the 2022 Mark Shannon Grand Challenges Award.  This award recognizes "long-term contributions of members of our technical community with a vision to address humanity's pressing issues."  Field is the Founder and CEO of Bright Ice Initiative, Inc., an environmental nonprofit which aims to address the urgent need for terrestrial glacial ice preservation.  During her career, she has developed new formulations for unleaded gasoline, new silicon-glass bonding processes, and pioneered surface micromachining and microfluidic systems.  She also contributed to the development of microwave and optical cross-point switches. She turned her attention to climate change in 2006 and founded Ice911 Research (later renamed AIP) two years later.   Field received a B.S. and M.S. in Chemical Engineering from MIT prior to enrolling at Berkeley.  She is the founder and a managing member of SmallTech Consulting, LLC, where she leads a diverse collaborative team working on MEMS and nanotechnology-based challenges.  She also serves as an Adjunct Lecturer and Consulting Professor Stanford University.

Dave Smith, synthesizer and MIDI developer, dies at 72

Groundbreaking synthesizer designer and EECS alumnus Dave Smith (B.S. 1971),  died on May 31st at the age of 72.  As an undergraduate, Smith wrote a program to compose music as a class project.  "The computers were huge," he said. "You wrote programs on punched cards, and you had to turn them into the computer center and wait a few hours to get it back to see if it compiled or not. It was a slow process." He had to print out his scores on a plotter.  "I remember my senior year, one of my professors predicted that one day that the power of one of these [room-sized] computers would only cost $1000, and of course, everybody’s like, 'No, no way, it couldn’t be.'"  After graduation, Smith took a job developing microprocessors at Lockheed Martin and, in his spare time, built an analog sequencer for a Minimoog synthesizer, allowing it to play more than one note at a time. He founded the company Sequential Circuits in 1974 and introduced the first polyphonic and programmable synthesizer four years later, the Prophet-5.  Because it used microprocessors to control its functions, it could store settings in memory, play harmonies by generating five notes at once, and was portable.  It generated what is called "the signature sound of the 1980s" and shaped the music of bands like of Pink Floyd, Parliament, Genesis, Hall & Oates, Michael Jackson, the Cars, Madonna, the Talking Heads, and the Cure.  Smith co-developed the Universal Synthesizer Interface (USI) in 1981 which, for the first time, allowed musicians to communicate digitally with multiple instruments through a single interface.  He convinced four Japanese companies to cooperate on a shared standard, which became MIDI (Musical Instrument Digital Interface) 1.0 in 1982.  “We made it low-cost so that it was easy for companies to integrate into their products. It was given away license-free because we wanted everyone to use it.”  In 1997, as president of Seer Systems, Smith introduced the first professional software synthesizer, a Windows program called "Reality."  Over the decades, instruments designed by Smith were embraced by groups like Radiohead, Nine Inch Nails, Dr. Dre, and Arcade Fire.  MIDI 1.0 has remained ubiquitous for forty years.

Pravin Varaiya has died

EECS Prof. Emeritus and alumnus Pravin Varaiya (Ph.D. 1966, advisor: Lotfi Zadeh) passed away on June 10th from injuries sustained when a truck hit him as he was walking in his neighborhood on April 1.  He was 81 years old.  A Professor in the Graduate School at the time of his death, he was known for his pioneering work in sensing and controls in intelligent transportation systems, and is credited with spearheading the self-driving car revolution in the 1990s.  Pravin Pratap Varaiya was born in India in 1940 and received his B.S. in Electrical Engineering from the University of Bombay in 1960.  He moved to Berkeley to attend graduate school and married Ruth Kosh, a fellow social activist, in 1963. In addition to teaching EE, he was a Professor of Economics from 1975 to 1992.  As the visionary director of the California Partners for Advanced Transportation Technology (PATH) project at Berkeley from 1994 to 1997, he led the construction of the National Automated Highway System (NAHSC) and the development of the first generation of modern self-driving cars.  These were the first autonomous vehicles tested live on California freeways.  His group also built the PeMS system, which revolutionized sensor networks for transportation, and which remains the largest sensor network for highways in the US.  PeMS enabled the California Department of Transportation and dozens of other agencies to finally see, measure, and assess traffic congestion in real-time.  He won the the IEEE Simon Ramo Medal (2022),  AACC O. Hugo Schuck Award (2020), IEEE ITS Lifetime Achievement Award (2018), IEEE Outstanding Research Award (2009), Bellman Control Heritage Award (2008), IEEE CSS Hendrik W. Bode Lecture Prize (2005), IEEE Control Systems Award (2002), and was a fellow of the IEEE and IFAC, and a member of both the AAAS and the NAE.  Varaiya was known for his calm and gentle demeanor, and his passionate and elegant approach to algorithms, control problems, games and strategies. He will be deeply missed.

Divya Periyakoil named Bloomberg Fellow

EECS alumna and former Regents Chancellor's Scholar Divya Periyakoil (B.S. 2020) has won a Bloomberg Fellowship from the Johns Hopkins Bloomberg School of Public Health. Bloomberg fellows are awarded full scholarships to pursue a Master or Doctor of Public Health at Johns Hopkins to tackle one of five critical health issues: addiction and overdose, adolescent health, environmental challenges, obesity and the food system, or violence. Periyakoil's fellowship is in the area of Environmental Challenges. As an undergrad, she was a Population Health Data Science Researcher in a project that focused on developing and applying machine learning, deep learning, and other forms of advanced analytic techniques and methodologies to advance environmental health research and devise innovative solutions to overcome environmental challenges to promote health equity. The project was part of a collaboration between two Berkeley groups, the Research in Artificial Intelligence for Sustainable Energy (RAISE) Lab, which develops and integrates tele-health, sensors, analytics, and smart device technologies to lower health costs and improve outcomes, and the UC Berkeley School of Public Health's Bixby Center for Population, Health, and Sustainability, which studies how environmental exposures, like those resulting from climate change, impact the most vulnerable members of our community, such as children, pregnant women, people of low socioeconomic status, and laborers.

Putri Karunia's Typedream allows users to build no-code websites

EECS alumna Putri Karunia (B.S. '19) who co-founded 2022 Forbes 30-Under-30 Enterprise Tech company "Typedream," is the subject of a profile titled "Putri Karunia proves that women not only belong in tech startups, but will actually make them more successful and profitable." Karunia, who was raised in Indonesia, graduated cum laude from Cal in 2019 and joined a team that included fellow EECS student Anthony Christian (B.S. '19) to found start-up Cotter, a passwordless authentication service that allows users to add a one-tap login to websites and apps in less than 15 minutes.  While developing Cotter, they came up with the idea for Typedream, a fast, user-friendly website-building tool that enables Notion (platform) customers to publish attractive websites in just 10 minutes, without prior coding experience. The design offers an intuitive text-editing interface with enriched web3 functionality, like gradients, blur navigation bars, cards, and text or buttons over images. "With a community-driven approach, our users help us prioritize the features we build and define our roadmap for the foreseeable future," said Karunia. "Listening and observing our community also led us to see glimpses of what the web could be like in the next 5-10 years."

Noam Nisan, Kimberly Keeton, Bruce Hajek and Nickhil Jakatdar named 2022 Berkeley EECS Distinguished Alumni

Congratulations to the winners of the 2022 EECS Distinguished Alumni Awards!  The CS winners are Noam Nisan (academia) and Kimberly Keeton (industry); and the EE winners are Bruce Hajek (academia) and Nickhil Jakatdar (industry). Noam Nisan (Ph.D. 1988, advisor: Richard Karp), currently a CS professor at Hebrew University of Jerusalem, was cited "For fundamental contributions to computational complexity theory and the creation of the field of algorithmic mechanism design;" Kimberly Keeton (M.S. 1994/Ph.D. 1999, adviser: David Patterson), currently a principal engineer at Google, was cited "For leadership in the research and the production of computer data and storage systems, and for mentoring the next generation of computer scientists and engineers;"  Bruce Hajek (Ph.D. 1979, advisor: Eugene Wong), currently an ECE professor at the University of Illinois at Urbana-Champaign, was cited "For his prodigious and fundamental research contributions to stochastic processes, information theory, and communications and computer networks; for his sustained and worldwide influence as a beloved teacher and mentor; and for his major leadership role in electrical and computer engineering;" and Nickhil Jakatdar (Ph.D. 2000, advisor: Costas Spanos), currently the CEO of GenePath Diagnostics, was cited for "For serial entrepreneurship and visionary leadership across several sectors, with profound impact to the microelectronics industry and to the developing world." Their awards will be presented at the 2022 Berkeley EECS Annual Research Symposium (BEARS) on April 25th.

‘Off label’ use of imaging databases could lead to bias in AI algorithms, study finds

A paper with lead author EECS postdoc Efrat Shimron and co-authors EECS graduate student Ke Wang, UT Austin professor Jonathan Tamir (EECS PhD ’18), and EECS Prof. Michael Lustig shows that algorithms trained using "off-label" or misapplied massive, open-source datasets are subject to integrity-compromising biases.  The study, which was published in the Proceedings of the National Academy of Sciences (PNAS), highlight some of the problems that can arise when data published for one task are used to train algorithms for a different one.  For example, medical imaging studies which use preprocessed images may result in skewed findings that cannot be replicated by others working with the raw data.  The researchers coined the term “implicit data crimes” to describe research results that are biased because algorithms are developed using faulty methodology. “It’s an easy mistake to make because data processing pipelines are applied by the data curators before the data is stored online, and these pipelines are not always described. So, it’s not always clear which images are processed, and which are raw,” said Shimron. “That leads to a problematic mix-and-match approach when developing AI algorithms.”