An affordable, human-friendly robot developed by EECS Prof. Pieter Abbeel and Project Blue is among Popular Science’s “Best of What’s New” innovations for 2019.  BLUE (Berkeley robot for Learning in Unstructured Environments) uses artificial intelligence and deep reinforcement learning algorithms to adapt to and operate safely in unpredictable settings, including the common household.  The list is  Popular Science's ranking of the year’s top 100 technologies and products, which highlight feats of engineering, breakthrough software and other acclaim-worthy discoveries from the past year.  BLUE is projected to ship to consumers in the next few years,

EECS Prof. and alumna Dawn Song (Ph.D. '02, advisor: Doug Tygar) has been  selected as a 2019 Fellow of the Association for Computing Machinery (ACM).    Song was cited "For contributions to security and privacy" and is now part of an elite group that represents less than 1% of the Association’s global membership.  As one of the world’s foremost experts in computer security and trustworthy artificial intelligence, Song founded a startup to build a new platform based on a paradigm in which people control their data and are compensated for its use by corporations. She was named to both the 2019 WIRED25 list of innovators and Inc.com's list of the 100 most innovative businesswomen in 2019.   Fellows will be honored at an awards banquet in June.

EECS Prof. Jaijeet Roychowdhury and his graduate student Tianshi Wang have won First Place in the 2019 Nokia Bell Labs Competition for their work on  “A Classical Spin on Quantum Computing.”  The pair have created a new type of processor element that will be significantly more efficient in computing the answers to discrete optimization problems. Their innovation will complement conventional digital processors (CPUs and GPUs) by efficiently tackling a wide range of computationally hard problems of importance in many diverse areas, including 5G communication systems; complex tasks in planning, scheduling and control; and even the discovery of new drugs.  The first place finish comes with a prize of $100K.

EECS Prof. Chenming Hu has been awarded the 2020 IEEE Medal of Honor, the highest honor awarded by the Institute of Electrical and Electronics Engineers (IEEE).  The medal is presented when "a candidate is identified as having made a particular contribution that forms a clearly exceptional addition to the science and technology of concern to IEEE."  Hu, whose seminal work on metal-oxide semiconductor MOS reliability and device modeling has had enormous impact on the continued scaling of electronic devices, was cited for “For a distinguished career of developing and putting into practice semiconductor models, particularly 3-D device structures, that have helped keep Moore’s Law going over many decades.”  He won the National Medal of Technology and Innovation in 2016 and was named to the Silicon Valley Engineering Hall of Fame in 2017.

CS Prof. Michael I. Jordan has won the prestigious John von Neumann Medal from the Institute of Electrical and Electronics Engineers (IEEE).  The award was established in 1990 to acknowledge "outstanding achievements in computer-related science and technology."    Jordan, who was ranked as the world's most influential computer scientist in 2016 by Science magazine, was cited for "For contributions to machine learning and data science."  Jordan began developing recurrent neural networks as a cognitive model in the 1980s, was prominent in the formalisation of variational methods for approximate inference, and popularised both the expectation-maximization algorithm and Bayesian networks among the machine learning community.  Jordan is the fifth Berkeley CS faculty member to win this award.

EECS Prof. Katherine Yelick was honored with an HPCwire Editor’s Choice Award for Outstanding Leadership in HPC at the 2019 International Conference for High Performance Computing, Networking, Storage and Analysis (SC19).  Yelick, who serves as the Associate Laboratory Director for Computing Sciences at Lawrence Berkeley National Laboratory (Berkeley Lab) and who was the director of the National Energy Research Scientific Computing Center (NERSC)  from 2008 to 2012,  is widely recognized for her leadership in research to improve the programmability of high performance computing (HPC) through innovations to programming languages and runtime systems.  Her contributions to design and compiler research were key to the success of patrician global address space (PGAS) for expressing applications with irregular communication patterns on parallel machines, and she is well known for co-inventing the Unified Parallel-C and Titanium languages.

EECS  alumnus Mark Lee McKelvin Jr (M.S.  '05, Ph.D. '11, advisor: Alberto L. Sangiovanni-Vincentelli), has won the 2020 BEYA (Black Engineer of the Year Award) STEM Most Promising Engineer in Industry Award.  The award, which is sponsored by Career Communications Group (publisher of "US Black Engineer and Information Technology magazine") is considered among the most competitive awards in U.S. science, engineering and technology managament.  After graduating, McKelvin worked at Jet Propulsion Laboratory as a software systems engineer for five years before becoming an engineering specialist at the Aerospace Corporation. The award will be presented at the 34th BEYA STEM Conference in February 2020.

Two papers co-authored by Berkeley EECS authors won ACM SIGPLAN Distinguished Paper Awards at the Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA) 2019.  "Duet: An Expressive Higher-Order Language and Linear Type System for Statically Enforcing Differential Privacy" co-authored by Prof. Dawn Song (Ph.D. '02, advisor: Doug Tygar), graduate student Lun Wang, undergraduate researcher Pranav Gaddamadugu, and alumni Neel Somani (CS B.A.  '19), Nikhil Sharma (EECS B.S. '18/M.S. '19),  and Alex Shan (CS B.A. '18), along with researchers in Vermont and Utah, and "Aroma: Code Recommendation via Structural Code Search" co-authored by Prof. Koushik Sen (along with authors at Facebook and UC Irvine), won two of the five honors awarded at the top programming language conference, part of the ACG SIGPLAN conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH) in October.  

EE Prof. Ming Wu has been named the 2020 recipient of the IEEE Electron Devices Society (EDS) Robert Bosch Micro and Nano Electro Mechanical Systems (MEMS) Award.  The award was established in 2014 "to recognize and honor advances in the invention, design, and/or fabrication of micro- or nano- electromechanical systems and/or devices" with the proviso that individual contributions "be innovative and useful for practical applications."  Wu was selected "For pioneering contributions in MEMS optical switches and optoelectronic tweezers.”