News

Ming Lin elected to 2020 ACM SIGGRAPH Academy

EECS alumna Ming C. Lin (B.S./M.S./Ph.D. '93, advisor: John Canny) has been elected to the Association for Computing Machinery (ACM) Special Interest Group on Graphics and Interactive Techniques (SIGGRAPH) Academy.  She is one of six scholars selected for membership this year, an honor which is reserved for individuals who have made "substantial contributions to the field."  Lin was cited "for contributions in collision detection, physics simulation, natural phenomena, crowd animation, haptics, and sound rendering."  She became an ACM Fellow in 2011 and IEEE Fellow in 2012, and is currently chair of the Computer Science department at the University Maryland.  An expert in virtual reality, computer graphics and robotics, Lin's particular focus is on multimodal interaction, physically based animations and simulations, as well as algorithmic robotics and their use in physical and virtual environments.  Her research has applications in medical simulations, cancer screening, urban computing, as well as supporting city-scale planning, human-centric computing, intelligent transportation and traffic management.

Paper by Peter Mattis to be presented at ACM SIGMOD conference

A paper co-written by EECS alumnus Peter Mattis (B.S. '97) is being presented at the 2020 Association for Computing Machinery (ACM) Special Interest Group on Management of Data (SIGMOD) International Conference on Management of Data this month.  The paper, titled "CockroachDB: The Resilient Geo-Distributed SQL Database," describes a cloud-native, distributed SQL database called CockroachDB, that is designed to store copies of data in multiple locations in order to deliver speedy access.  The database is being developed at Cockroach Labs, a company co-founded in 2015 by a team of former Google employees that included Mattis, who is also the current CTO, and fellow-alumnus Spencer Kimball (CS B.A. '97), currently the company CEO.  Cockroach Labs employs a number of Cal alumni including Ceilia La (CS B.A. '00) and Yahor Yuzefovich (CS B.A. '18).

Gary May: "George Floyd could have been me"

EECS alumnus Gary S. May (M.S. '88/Ph.D. '91, advisor: Costas Spanos), the first Black chancellor of UC Davis, has penned an op-ed for the San Francisco Chronicle titled "UC Davis chancellor: George Floyd could have been me" in which he observes that "at a traffic stop, no one knows I am a chancellor. No one knows I have a doctorate."  He explains that building an inclusive society that recognizes and respects people of all socioeconomic and cultural backgrounds, and a wide variety of political views, gender identities, and personal experiences, will increase our capacity to "make discoveries and solve problems."  "It requires collective effort," he writes.  "It requires each one of us, in our own way, working to make a difference, whether that’s through video recording, peaceful protest or working to change procedures that reflect bias."

Dawn Song discusses adversarial machine learning and computer security on AI podcast

EECS alumna and Prof. Dawn Song (Ph.D. '02) appears in episode #95 of the Artificial Intelligence Podcast with Lex Fridman to discuss adversarial machine learning and computer security.   They cover topics ranging from attacks on self-driving cars to data ownership, program synthesis, and the meaning of life.

Mark Hopkins appointed to Reed faculty

CS alumnus Mark Hopkins (B.A. CS '00) has been appointed to a tenure-track position in the department of Computer Science at Reed College in Oregon. He will be part of the division of Mathematical and Natural Resources where he will study uncertain reasoning and machine learning, with a particular interest in how these can be applied to computational linguistics.  Hopkins earned his Ph.D. from UCLA in 2005 and had managed Project Euclid at the Allen Institute of Artificial Intelligence (AI2) in Washington state before being hired as a visiting associate professor at Reed in 2018.

Four papers authored by EECS faculty win Test-of-Time Awards at 2020 IEEE-SP

Four papers co-authored by EECS faculty (3 of which were co-authored by Prof. Dawn Song) have won Test-of-Time awards at the IEEE Symposium on Security and Privacy today: "Efficient Authentication and Signing of Multicast Streams Over Lossy Channels," co-authored by Song (Ph.D. '02) and the late Prof. Doug Tygar (with Perrig and Canetti) in 2000, "Practical Techniques for Searches on Encrypted Data," co-authored by Song and Prof. David Wagner (with Perrig) in 2000, "Random Key Predistribution Schemes for Sensor Networks," co-authored by Song (with Chan and Perrig) in 2003, and "Outside the Closed World: On Using Machine Learning For Network Intrusion Detection" co-authored by Prof. Vern Paxson (with Sommer) in 2010.    IEEE-SP is considered the premier computer security conference and this four-fold achievement demonstrates Berkeley's preeminence in the field.

Courtney Brousseau has passed away

Alumnus Courtney Brousseau (B.A. CS/Econ '19) has died after  being injured as a bystander in a drive-by shooting in the Mission District of San Francisco.  Brousseau was an active member of the Berkeley community while a student, serving as a CS tutor and acting as chair of the ASUC Student Union.  After graduation, he worked as a Civic Digital Fellow at Coding it Forward in Washington, D.C.,  and was hired as an Associate Product Manager at Twitter last fall.  He also founded an advocy group called Gay for Transit in an effort to improve conditions for bicyclists and make San Francisco streets safer.

Using machine-learning to reinvent cybersecurity two ways: Song and Popa

EECS Prof. and alumna Dawn Song (Ph.D. '02, advisor: Doug Tygar) and Assistant Prof. Raluca Ada Popa are featured in the cover story for the Spring 2020 issue of the Berkeley Engineer titled "Reinventing Cybersecurity."  Faced with the challenge of protecting users' personal data while recognizing that sharing access to that data "has fueled the modern-day economy" and supports scientific research, Song has proposed a paradigm that involves "controlled use" and an open source approach utilizing a new set of principles based on game theory.  Her lab is creating a platform that applies cryptographic techniques to both machine-learning models and hardware solutions, allowing users to keep their data safe while also making it accessible.  Popa's work focuses on using machine-learning algorithms to keep data encrypted in cloud computing environments instead of just surrounding the data with firewalls.  "Sharing without showing" allows sensitive data to be made available for collaboration without decryption.  This approach is made practical by the creation of a machine-learning training system that is exponentially faster than other approaches. "So instead of training a model in three months, it takes us under three hours.”

Arthur Gill has passed away

EECS Prof. Emeritus  and alumnus Arthur Gill (Ph.D. '59, advisor: Aram Thomasian) died on March 21, 2020, at the age of 90.  Gill joined the EECS faculty in 1960, just after earning his doctorate, and was one of the first professors at Berkeley to hold positions in both EE and CS before the formation of the EECS department in 1968.   His research focused on network analysis and synthesis, communication theory, system theory, and computer science.  He was an active member of the Electronics Research Laboratory for the duration of his 30 year career, and Assistant Dean for Undergraduate Affairs in the College of Engineering from 1981 to 1991.  He was the first faculty ‘supervisor’ of the Computer Science Reentry Program, an early, innovative, and successful effort to increase the number of women and minority students studying CS at Berkeley.  Gill is survived by his children, Jonathan and Leori Gill, their children and grandchildren, and his long-time partner in life and travel, Marijke Van Doorn (widow of EECS Prof. Eugene Lawler).

Roger Fujii wins IEEE CS 2020 Richard E. Merwin Award

EECS alumnus Roger U. Fujii (M.S. '68) has won the IEEE Computer Society (IEEE CS) 2020 Richard E. Merwin Award for Distinguished Service.  The Merwin Award is the Computer Society's highest-level volunteer service award, and is presented to "individuals for outstanding volunteer service to the profession at large, including significant service to the IEEE CS."  Fujii was cited "for his sustained and innovative leadership contributions to IEEE Computer Society standards, strategic activities, and financial transformation."  He is currently  the president of Fujii Systems, Inc., a provider of services in the development of large, trusted systems, and the Vice President-Elect of IEEE CS Technical Activities.  He is also an IEEE volunteer who has served in many capacities for over 30 years.