Susan Eggers (Ph.D. '89), the 2009 CS Distinguished Alumna, is the recipient of the 2018 ACM-IEEE CS Eckert-Mauchly Award--the first woman so honored in the award's 39 year history.  The award is administered jointly by the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), and is given for contributions to computer and digital systems architecture where the field of computer architecture is considered at present to encompass the combined hardware-software design and analysis of computing and digital systems.  Eggers, who is a professor at the University of Washington’s Paul G. Allen School of Computer Science & Engineering, was cited for "outstanding contributions to simultaneous multithreaded processor architectures and multiprocessor sharing and coherency."  She made significant contributions to cache coherency protocols as well as other memory-related challenges in multiprocessor computers, and performed the first data-driven study of data sharing in shared-memory multiprocessors, which greatly enhanced the field’s understanding of both hardware and software coherency techniques.

Grad student Michael Chen (advisor:  Laura Waller) has been awarded a 2018 Optics and Photonics Education Scholarship by SPIE, the international society for optics and photonics, for his potential contributions to the field of optics, photonics or related field.  Chen works in the Computational Imaging Lab where he focuses on non-invasive multi-dimensional phase imaging. “Nowadays, computation enables us to truly utilize full capacity of existing imaging system and extract new information from decade-old optical designs. By jointly designing the optical hardware and post processing software, we deliver simple yet powerful computational imaging techniques,” he said.

"PerfFuzz: Automatically Generating Pathological Inputs," written by graduate students Caroline Lemieux and Rohan Padhye, and Profs. Koushik Sen and Dawn Song, will receive a Distinguished Paper Award from the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2018 in Amsterdam in July.  PerfFuzz is a method to automatically generate inputs for software programs via feedback-directed mutational fuzzing.  These inputs exercise pathological behavior across program locations, without any domain knowledge.   The authors found that PerfFuzz outperforms prior work by generating inputs that exercise the most-hit program branch 5x to 69x times more, and result in 1.9x to 24.7x longer total execution paths.

CS alumna Margo I. Seltzer (Ph.D. '92, advisor: Michael Stonebraker) is the subject of a Harvard Crimson article celebrating her contributions to that institution.  Seltzer, who until this year had been a professor at Harvard and the director of the Center for Research on Computation and Society, is also the president of USENIX and an architect at Oracle.  She is moving to Vancouver to take part in Canada 150, a multi-million dollar federal research program at the University of British Columbia.  Seltzer founded a startup called Sleepycat Software in 1996 to develop and support “Berkeley DB,”  a high-performance software used to generate databases.  Across the arc of her career, Seltzer balanced teaching commitments with founding and running a startup, broke gender barriers while pushing for gender parity, and helped shape the rise of Harvard Computer Science. She was the first woman to serve as conductor of the Harvard University band and the second woman in Harvard history to earn tenure in the CS department.

CS Assistant Professors Raluca Ada Popa and Sanjam Garg have been selected to receive Hellman Fellowships.  The Hellman Fellows Fund substantially supports "research of promising assistant professors who show capacity for great distinction in their research." Popa's interests include security, systems, and applied cryptography.  She has developed practical systems that protect data confidentiality by computing over encrypted data, as well as designed new encryption schemes that underlie these systems.  Garg's research interests are in cryptography and security, and more broadly in theoretical computer science.  His work on multilinear maps and obfuscation has found extensive applications in cryptography. Other recent EECS faculty recipients of this award include Thomas Courtade, Tapan Parikh, Michael Lustig, and Pieter Abbeel.

CS Assistant Prof. Joseph Gonzalez is quoted in an article for VentureBeat titled "Explainable AI could reduce the impact of biased algorithms."   The article discusses the ways human bias could potentially be introduced into machine learning-enabled systems and how General Data Protection Regulation (GDPR) might help. Collecting data from the past is a common starting point for data science projects — but historical “data is often biased in ways that we don’t want to transfer to the future,” said Gonzalez.  “It is an incredibly hard problem...but by getting very smart people thinking about this problem and trying to codify a better approach or at least state what the approach is, I think that will help make progress.”

Semantic Machines, an artificial intelligence startup co-founded by Prof. Dan Klein and staffed by a number of EECS alumni, has been acquired by Microsoft to help Cortana hold more natural dialog with users.  The team has built a number of machine learning components which work together for a smarter AI, and move beyond the more basic back-and-forth currently supported by the Google Assistant, Apple’s Siri, and Amazon’s Alexa.

In addition to Klein, the team includes Percy Liang (Ph.D. '11), David Hall (Ph.D. '12), Adam Pauls (Ph.D. '12), David Burkett (Ph.D. '12), Jason Wolfe (Ph.D. '11 adviser: Stuart Russell), Yuchen Zhang (Ph.D. '16), Taylor Berg-Kirkpatrick (B.A. '08/Ph.D. '15), Greg Durrett (Ph.D. '16), Alex Nisnevich (M.S. '14), current grad student Jacob Andreas, Charles Chen (B.A. CS/Math '11), Andrew Nguyen (B.A. CS/Linguistics '12), Chuck Wooters (Ph.D. Speech Recognition '93), and consultant Prof. Michael Jordan.

Prof. Jan Rabaey has written an article for The Conversation titled "What is 5G? The next generation of wireless, explained."  He reviews the evolution of cellular communication technology and describes some of the ways that 5G, which is able to send and receive more data more quickly than previous versions, opens new opportunities for augmented and virtual reality systems, as well as automation.

EECS Prof. and alumnus John Whinnery (1916-2009, EE B.S. '37/Ph.D. '48 ) is the subject of a Berkeley Engineering article celebrating UC Berkeley's 150th year.  Whinnery served as director of the Electronics Research Laboratory from 1952-56, department chair from 1956-59, and dean of the College of Engineering from 1959-63. He was a distinguished innovator in the field of electromagnetism and communication electronics and was recognized as one of the country’s top experts on the fundamentals of quantum electronics.  He was awarded the IEEE Medal of Honor in 1985 and the National Medal of Science in 1992

CS alumnus Aviad Rubinstein (Ph.D. ' 17, advisor: Christos Papadimitriou) is the recipient of the Association for Computing Machinery (ACM) 2017 Doctoral Dissertation Award for his dissertation “Hardness of Approximation Between P and NP.”  In his thesis, Rubinstein established the intractability of the approximate Nash equilibrium problem and several other important problems between P and NP-completeness—an enduring problem in theoretical computer science.  His work was featured in a Quanta Magazine article titled "In Game Theory, No Clear Path to Equilibrium" in July. After graduating, Rubinstein became a Rabin Postdoc at Harvard and will join Stanford as an Assistant Professor in the fall.