Professors Jan Rabaey and Pieter Abbeel were named in the top 5 of the 2017 top 50 pioneers by the “De Tijd” (translation buttons provided above the article), the Belgian equivalent of the Financial Times. Prof. Rabaey is currently the scientific co-director of the Berkeley Wireless Research Center (BWRC) as well as the director of the FCRP Multiscale Systems Research Center (MuSyC), and is involved with the Donald O. Pederson Center for Design Automation (DOP), SWARM Lab,  CITRIS People and Robots (CPAR), TerraSwarm Research Center, and the  Center for Neural Engineering & Prostheses (CNEP). His research interests include ultra-low energy wireless exploring the boundaries of ultra-low energy design and the design of microscopic systems, including all components from energy sources, conversion and storage, interfaces, digital and mixed signal. Prof. Abbeel is currently a member of the steering committee of the Berkeley Artificial Intelligence Research Center (BAIR) and is involved with the Center for Human Compatible Artificial Intelligence (CHCAI), Berkeley Vision and Learning Center (BVLC), Center for Automation and Learning for Medical Robotics (Cal-MR) and CITRIS People and Robots (CPAR). His current research area is primarily studying deep learning for robotics, where learning could be from demonstrations (apprenticeship learning) or through the robot's own trial and error (reinforcement learning). Targeted application domains include autonomous manipulation, flight, locomotion and driving.

Prof. Jitendra Malik has been named recipient of the Association for Computing Machinery (ACM) and Association for the Advancement of Artificial Intelligence (AAAI) Allen Newell Award. The Allen Newell award is presented to an individual for career contributions that have breadth within computer science, or that bridge computer science and other disciplines. Prof. Malik's research has addressed several important problems in computer vision: how to characterize contours in images, how to segment images, and how to represent shape for feature matching.  He also was a leader in evaluation methods through the creation of the Berkeley segmentation dataset, using human segmentations to evaluate the correctness of the algorithmic segmentations.  He pioneered the use of normalized cuts, anisotropic diffusion, high dynamic range imaging, shape context and the use of graph theory for low-level to mid-level computer vision problems.  In computer graphics, his research showed how digital photographs and user-guided photogrammetry can be used to synthesize highly photorealistic computer-generated architectural scenes.  He also has made important contributions to computational models of human texture perception including segmentation, shape from texture, and intrinsic image computation.

U.C. Berkeley has the top ten most AMiner Most Influential Scholar Award winners across all fields of computer science in 2016 and the top five most award winners in the fields of Computer Vision, Database, Machine Learning, Multimedia, Security, Computer Networking, and System.  The 28 CS faculty members included in the rankings were among the 100 most-cited authors in 12 of the 15 research areas evaluated. Two were among the 100 most-cited authors in 3 different areas each: Scott Shenker ranked #1 in Computer Networking, #51 in System, and #99 in Theory; and Trevor Darrell ranked #8 in Mulitmedia, #18 in Computer Vision, and #100 in Machine Learning.  Out of the 700,000 researchers indexed, only 16 appeared on three or more area top 100 lists.  See a more detailed breakdown of our influential faculty scholars.

Professor Alexei (Alyosha) Efros has won the 2016 Association of Computing Machinery (ACM) Prize in Computing, formerly known as the ACM-Infosys Foundation Award. This award recognizes early-to-mid-career contributions that have fundamental impact and broad implications. Prof. Efros was cited for groundbreaking data-driven approaches to computer graphics and computer vision and is a pioneer in combining the power of huge image datasets drawn from the Internet with machine learning algorithms to foster powerful image transformations and valuable research findings. He has also made fundamental contributions in texture synthesis, a technique that ushered in new horizons in computer graphics and is widely used in the film industry. ACM Prize recipients are invited to participate in the Heidelberg Laureate Forum, an annual networking event that brings together young researchers from around the world with recipients of the ACM A.M. Turing Award (computer science), the Abel Prize (mathematics), the Fields Medal (mathematics), and the Nevanlinna Prize (mathematics).

CS undergraduates Tomás Vega Gálvez and Corten Singer have been chosen the $10,000 Lemelson-MIT “Drive it!” Undergraduate Team Winner for an open-source smart add-on system for wheelchairs. Vega and Singer created WheelSense, a modular, customizable add-on system for wheelchairs that provides spatial awareness for visually impaired users to identify obstacles and ease their navigation. It has three features: frontal staircase detection through auditory feedback, backward obstacle-avoidance assistance through auditory feedback, and lateral ramp-edge detection through haptic feedback. They hope to disrupt the expensive market for assistive technologies for the disabled community by making their technology open source.  The “Drive it!” Lemelson-MIT Student Prize rewards students working on technology-based inventions that can improve transportation.

Prof. Katherine Yelick has been elected to the American Academy of Arts and Sciences. This organization has been serving the nation as a champion of scholarship, civil dialogue and useful knowledge since 1780. The Academy convenes leaders from the academic, business, and government sectors to address critical challenges facing our global society. Kathy joins a long list of distinguished members, going back to Ben Franklin, Alexander Graham Bell, and most recently our own Scott Shenker in 2016. For a complete list of EECS members elected to the academy, see EECS Faculty Awards/American Academy of Arts and Sciences.

Josephine Williamson, the EECS Director of Administrative Services, has been selected to receive the U.C. Berkeley Chancellor's Outstanding Staff Award (COSA), which is the highest honor bestowed upon staff by the Chancellor.  COSAs are presented to individuals and teams who, in addition to performing their normal job duties with excellence, also demonstrate exceptional initiative in contributing to the UC Berkeley campus community.

The paper “X-Trace: A Pervasive Network Tracing Framework”, authored by EECS alumi Rodrigo Fonseca (Ph.D. ’08) and George Porter (Ph.D. ’08) and Professors Randy Katz, Scott Shenker, and Ion Stoica, has received the 2017 Networked Systems Design and Implementation (NSDI) Test-of-Time Award. X-Trace was not the first tracing framework, but it was influential given that it was effectively the first framework for end-to-end tracing to focus on generality and pervasiveness. The researchers implemented X-Trace in protocols and software systems, and in their prize-winning paper, they set out to explain three different use scenarios: domain name system (DNS) resolution; a three-tiered photo-hosting website; and a service accessed through an overlay network.

Graduate students Radhika Mittal (advisors: Sylvia Ratnasamy and Scott Shenker) and Sam Chiu-Wai Wong (advisor: Christos Papadimitriou) have won 2017 Google PhD Fellowships. This is one of the highest honors available for Computer Science graduate students.  Each selected university is permitted to nominate two students and Google awards approximately 15 named fellowships per year.  Radhika, whose area is Computer Networking, was awarded a Microsoft Research Graduate Women’s Scholarship in 2013.  Sam, who is interested in the area of Algorithms and Complexity, won Best Paper at the IEEE FOCS Symposium in 2015 and has been awarded an IBM Scholarship.

CS graduate student Baiyu Chen (advisor: Alexei Efros) and Anthony Barrs were awarded top prize and $50,000 for their design at the Infrastructure Vision 2050 Challenge.  Their idea, profiled in an article for Fortune, was to construct a "Hyperlane," or a single platform the size of four interstate lanes that would run parallel to pre-existing highways in order for self-driving cars to travel at high speeds with no chance of getting into a jam.