Two EECS professors have won awards from the IEEE Technical Committee on Cyber-Physical Systems (TCCPS).  Edward Lee won the Technical Achievement Award, which recognizes significant contributions to the field sustained throughout the recipient's career, ‘‘for pioneering and fundamental contributions to the design, modeling and simulation of cyber-physical systems.’’  The previous winner was Prof. Alberto Sangiovanni-Vincentelli in 2017.  Sanjit Seshia won the Mid-Career Award, which recognizes a mid-career researcher who has made outstanding contributions to the field, ‘‘for fundamental contributions to formal methods for cyber-physical systems design and to cyber-physical systems education.’’  The previous recipient was Prof. Alexandre Bayen in 2018.

Salto the robot, first unveiled in 2016 by the Biomimetic Millisystems Lab, is now equipped with a slew of new skills, giving it the ability to bounce in place like a pogo stick and jump through obstacle courses like an agility dog. Salto can even take short jaunts around campus, powered by a radio controller.  Salto creators Justin Yum, Eric Wang and Ronald S. Fearing will describe the robot’s new skills today (Tuesday, May 21) at the 2019 International Conference on Robotics and Automation in Montreal.

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.

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."

Graduate student Vasuki Narasimha Swamy (advisor: Anant Sahai) has been recognized as a 2019 Marconi Society Paul Baran Young Scholar for her work designing robust wireless protocol frameworks for ultra-reliable low-latency communications (URLLC).  Paul Baran Young Scholarships, which are awarded to just a handful of young researchers throughout the world every year, recognize those who have demonstrated "exceptional capability and potential."  In addition to her innovations to URLLC networks, Swamy helped to co-found BiasBusters, an organization that addresses implicit bias issues in the EECS department.  The mission of the Marconi Society is to "inspire innovations in the Internet and communications that benefit humankind.”

Assistant Teaching Prof. and EE alumna Gireeja Ranade (MS '09/PhD '14, advisor: Anant Sahai) is part of an article in Nature titled "Junior AI researchers are in demand by universities and industry."  Ranade worked at Microsft Research in Washington after graduating from Berkeley but before joining the EECS faculty.  She discusses some of the projects she worked on, the impact that they had, and how they have influenced her teaching.  "I loved the idea that it would be different from an academic postdoc and give me exposure to real problems. It makes you more aware of the issues that product teams face; it helps you see the real challenges," she said.

EE graduate student Jordan Edmunds (advisor: Michel Maharbiz), has been named a 2019 fellow by the Fannie and John Hertz Foundation, a nonprofit organization dedicated to advancing groundbreaking applied science with real-world benefits for all humanity.   Edmunds, whose current work focuses on neural interfaces, has produced more than 120 instructional videos on electrical engineering topics, and regularly interacts with community middle school students via Berkeley’s Be a Scientist program. Hertz Foundation awards allow fellows "the freedom to pursue innovative research wherever it may lead."

Prof. Stuart Russell has been elected as an Andrew Carnegie Fellow. Also called the “Brainy Award,” the Andrew Carnegie Fellowship awards recipients with a grant of up to $200,000 in order to “devote significant time to research, writing, and publishing in the humanities and social sciences — work that will benefit all of us.”  The award’s objective “is to offer fresh perspectives on the humanities and solutions to the urgent issues of today.”

The paper titled "CUTE: a concolic unit testing engine for C", authored by Prof. Koushik Sen (EECS), Darko Marinov (University of Illinois at Urbana-Champaign), Gul Agha (University of Illinois at Urbana-Champaign) has been chosen to receive an ACM SIGSOFT (Association for Computing Machinery Special Interest Group on Software Engineering) Impact Paper Award. The award is given annually and “recognizes the breadth and vitality of the software engineering community."

CS graduate students Caroline Lemieux (adviser: Koushik Sen) and Daniel Fried (adviser: Daniel Klein) have won 2019 Google PhD Fellowships.  The Google PhD Fellowship Program was created to recognize outstanding graduate students doing exceptional work in computer science and related research areas.  Fellowships are awarded to students who "represent the future of research" in those fields. Lemieux, who won in the field of Programming Technology and Software Engineering, has interests which center around improving, or helping developers to improve, the correctness, reliability, and understanding of software systems.  Fried, who won in the Natural Language Processing category,  is interested in grounding language in perception and interaction, and in structured prediction.