Chelsea Finn wins 2018 ACM Doctoral Dissertation Award

Recent graduate Chelsea Finn (Ph.D. '18, advisors: Pieter Abbeel and Sergey Levine), has won the prestigious ACM Doctoral Dissertation Award. This award is presented annually to "the author(s) of the best doctoral dissertation(s) in computer science and engineering."  In her dissertation, "Learning to Learn with Gradients," Finn introduced algorithms for meta-learning that enable deep networks to solve new tasks from small datasets, and demonstrated how her algorithms can be applied in areas including computer vision, reinforcement learning and robotics.  Finn  is currently a research scientist at Google Brain, a post-doc at the Berkeley AI Research Lab (BAIR), and an acting assistant professor at Stanford.  Last year's recipient, Aviad Rubinstein, was also a Berkeley EECS alum.

Soham Phade and Venkat Anantharam win GameNets Best Paper Award

Graduate student Soham Phade and his advisor, Venkat Anantharam, have won the Best Paper Award at the 9th EAI International Conference on Game Theory for Networks (GameNets 2019).  Their paper, titled "Optimal Resource Allocation over Networks via Lottery-Based Mechanisms," was in the Games for Economy and Resource Allocation category.  Phade's current focus is on "designing market-based mechanisms and algorithms on presumably more accurate models of human behavior from psychology and decision theory, for increasing human welfare and for building more efficient commercial systems that interact with humans."

Two papers selected as 2018 IEEE Micro Top Picks

Two papers by EECS faculty have been named 2018 IEEE Micro Top Picks by the Association for Computing Machinery (ACM) Special Interest Group on Computer Architecture (SIGARCH).  The papers were "A Hardware Accelerator for Tracing Garbage Collection," co-authored by Profs. Krste Asanović and John Kubiatowicz (along with Martin Maas), and "FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud," co-authored by Profs. Borivoje Nikolić, Randy Katz, Jonathan Bachrach, and Krste Asanović (along with Karandikar, Mao, Kim, Biancolin, Amid, Lee, Pemberton, Amaro, Schmidt, Chopra, Huang and Kovacs).  Top Picks represent "the most significant research papers in computer architecture based on novelty and potential for long-term impact."  The papers will be published in IEEE Micro's annual “Top Picks from the Computer Architecture Conferences” issue in May/June 2019.

Negative capacitance found

A research paper by EECS Prof. Sayeef Salahuddin's group that shows direct measurement of Negative Capacitance was highlighted in an article in Nature Electronics titled "Negative capacitance found."   Negative Capacitance is a new state of ferroelectric material that was discovered by Salahuddin in 2008 and promises to significantly improve energy efficiency in electronics.

Dan Garcia

Dan Garcia tops list of most frequent SIGCSE submissions

CS Teaching Prof. and alumnus Dan Garcia (M.S. '95/Ph.D. '00) has authored more submissions in the 50 year history of the Association for Computing Machinery (ACM) Special Interest Group on Computer Science Education (SIGCSE) than anyone else.  Garcia authored 61 SIGCSE submissions accepted between 2003 and 2016 (submissions were counted from 1969 to 2018).  This count is particularly impressive since he was precluded from submitting papers in 2017 and 2018 because he was serving as program co-chair and symposium co-chair, respectively.  It also  doesn't include his 5 accepted submissions in 2019.   Berkeley ranked #3 for the highest number of accepted papers (114) and #9 for the most citations (302) in SIGCSE's history .

Nine papers make four Top 10 lists in TOPBOTS AI research rankings

9 papers co-authored by 6 EECS faculty, 13 students,  3 post docs, and 3 alumni have made it into the Top 10 research papers ranked by TOPBOTS in four categories of AI Research. TOPBOTS is the largest publication, community, and educational resource for business leaders applying AI to their enterprises.  3 papers co-authored by Sergey Levine made the #1, #3, and #9 spots in "What Are Major Reinforcement Learning Achievements & Papers From 2018?"  A paper co-authored by Moritz Hardt ranked #5 in "Top 2018 AI research papers" and #3 in  "Recent Breakthrough Research Papers In AI Ethics." A paper co-authored by Jitendra Malik ranked #7 in the Top 2018 papers and #5 in "10 Cutting Edge Research Papers In Computer Vision & Image Generation."  The #2 Top 2018 paper was co-authored by David Wagner, and a paper co-authored by Alexei Efros ranked #9 in the Computer Vision category.

"Computer Architecture: A Quantitative Approach" wins 2019 Texty

"Computer Architecture: A Quantitative Approach," 6th ed. by Prof. Emeritus David Patterson and John Hennessy has won a 2019 Textbook Excellence Award ("Texty") from the Text and Academic Authors Association (TAA).  Textys recognize excellence in current textbooks and learning materials. Works are judged by other textbook authors and subject matter experts who evaluate pedagogy, content/scholarship, writing, and appearance/design.  Patterson won a Most Promising New Textbook Award in 2016 for "Engineering Software as a Service: An Agile Approach Using Cloud Computing," 1st ed. co-authored by Prof. Armando Fox, and a McGuffey Longevity Award in 2014 for "Computer Organization and Design," 
5th ed. (also with Hennessy).

'Ambidextrous' robots could dramatically speed e-commerce

CS Prof. Ken Goldberg and members of the AUTOLAB including postdoc Jeffrey Mahler (Ph.D. '18), grad students Matthew Matl and Michael Danielczuk, and undergraduate researcher Vishal Satish, have published a paper in Science Robotics which presents new algorithms to compute robust robot pick points, enabling robot grasping of a diverse range of products without training.  They trained reward functions for a parallel-jaw gripper and a suction cup gripper on a two-armed robot, and found that their system cleared bins with up to 25 previously unseen objects at a rate of over 300 picks per hour with 95 percent reliability.

Researchers capture an image of negative capacitance in action

For the first time ever, an international team of researchers--led by Prof. Sayeef Salahuddin--imaged the microscopic state of negative capacitance. This novel result provides researchers with fundamental, atomistic insight into the physics of negative capacitance, which could have far-reaching consequences for energy-efficient electronics.  “The upshot is that the opposite relation between charge and voltage could locally enhance the voltage across the common dielectric material,” said Salahuddin. “The voltage ‘amplification’ gained could be used to reduce the supply voltage requirement in a transistor, thus making computers and other electronic devices more energy-efficient.”

SinBerBEST 2 sweeps Building and Environment Best Paper Awards

Research collaboration between Singapore–Berkeley Building Efficiency and Sustainability in the Tropics (SinBerBEST 2 -- part of the Berkeley Education Alliance for Research in Singapore center) led by EE Prof. Costas Spanos, and UC Berkeley’s Center for the Built Environment (CBE) resulted in three 2018 Building and Environment Best Paper Awards.  The awards, which are presented annually by the Building and Environment journal, recognize originality, contributions to the field, quality of presentation, and soundness of science.   The honored papers were titled "Automated Mobile Sensing: Towards High-Granularity Agile Indoor Environmental Quality (IEQ) Monitoring," "Development of the ASHRAE Global Thermal Comfort Database II," and "Personal Comfort Models: Predicting Individuals’ Thermal Preference Using Occupant Heating and Cooling Behavior and Machine Learning."