Two CS alumni, Soumen Chakrabarti (Ph.D. '96, advisor: Katherine Yelick) and Sunita Sarawagi (Ph.D. '96, advisor: Michael Stonebraker), both currently CSE professors at IIT Bombay, have made the 2018 list of Analytics India Magazine's Top 10 Machine Learning Researchers in India. Chakrabarti's research interests include better embedding representation for passages, entities, types and relation; searching the annotated Web with entities, types and relations; and Graph conductance search. He holds eight US patents, has produced 167 research papers, and authored one of the earliest books on web search and mining.  Sarawagi is interested in deep learning, web information extraction, data integration, graphical models and structured learning.  She has published more than 130 research papers and holds four patents.

EE/CS Prof. and alumna Bin Yu (M.S. '87/Ph.D. '90) has won the Committee of Presidents of Statistical Societies (COPSS) 2018 Elizabeth L. Scott Award.  This award is granted to an individual who has helped foster opportunities in statistics for women, exemplifying the spirit of mathematician and statistician Elizabeth L. Scott. Scott, who like Yu was a Cal alumna and professor, was a founding member of Berkeley's statistics department and fought hard for women's equal treatment on campus and beyond.  COPSS is comprised of the presidents, past presidents and presidents-elect of five Northern American statistical societies, and their awards are considered among the most prestigious in the field of statistics. Yu, who has a split appointment in EECS and Statistics, is interested in statistical inference, machine learning, and information theory. Her collaborations are highly interdisciplinary and include scientists from genomics, neuroscience, precision medicine, and political science.

CS Assistant Prof. Joey Gonzalez has won a 2018 Okawa Research Foundation Grant.  Okawa Research Grants are bestowed for "studies and analyses in the fields of information and telecommunications."  Gonzalez's research interests are at the intersection of machine learning and data systems. The award will be presented in San Francisco in the fall.

Prof. Shankar Sastry, dean of the College of Engineering, has written an article in Berkeley Engineer magazine about the radical transformation of technology and our world.  He explores how new technologies are impacting different sectors of society and how universities can help, not just through cutting edge research, but also by addressing growing concerns about privacy, social issues, law, and economics.  "Our challenge going forward is to meld these new technologies with economic, business, legal, behavioral and many other tools and advances to design a society we will be glad to live in, even in the face of dramatic changes in how we work and live. This indeed will be our mantra going forward in Inventing the Future," he said.

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.”