EECS Prof. Ruzena Bajcsy has won the 2017 John Scott Award which has been presented by the City of Philadelphia since 1822 to "the most deserving men and women whose inventions have contributed in some outstanding way to the comfort, welfare and happiness of mankind."  Bajcsy's award is for her contributions to robotics and engineering science, including the development of improved robotic perception and the creation of better methods to analyze medical images.  Many luminaries have received the award including Marie Curie, Thomas Edison, the Wright Brothers, Jonas Salk and Glenn Seaborg.  Bajcsy will share the award with Warren Ewens (theoretical population genetics) and Masatoshi Nei (evolutionary theory).

CS Assistant Teaching Professor John DeNero is the inaugural recipient of the Charles and Dianne Giancarlo Teaching Fellowship.  This fellowship supports excellence in undergraduate teaching in EECS and was made possible by a generous donation from alumnus Charles Giancarlo (EE M.S. '80)  and his wife, Dianne (co-founder of the Women’s Achievement Network and Development Alliance).  The College of Engineering will be hosting a reception to celebrate the appointment on September 19th.

CS Prof. Scott Shenker has won a  2017 Visionary Award from the Berkeley Chamber of Commerce.  The award was created to acknowledge entrepreneurs and "celebrate people with the imagination and persistence to innovate in the City of Berkeley."  Shenker co-founded Nicira,  a company focused on software-defined networking (SDN) and network virtualization, which was sold to VMware in 2012 for $1.26 billion.   The award will be presented at ceremony at the Berkeley Repertory Theatre on September 11th.

CS/IEOR Prof. Ken Goldberg, director of the AUTOLAB, and his EE graduate student Jeff Mahler, are profiled in a  New York Times article titled "In the Future, Warehouse Robots Will Learn on Their Own," about researchers who are using neural networks and machine learning to teach robots to grab things they have never encountered before.   The AUTOLAB robot was trained by being shown hundreds of purely digital objects, after which it could pick up items that weren’t represented in its digital data set.  “We’re learning from simulated models and then applying that to real work,” said Goldberg,

CS Profs. Pieter Abbeel and Michael Jordan, two of the best-known experts in machine learning, have been appointed as joint faculty in the department of Industrial Engineering and Operations Research (IEOR) in addition to their primary appointments in EECS (and Statistics for Jordan).  "Profs. Abbeel and Jordan are terrific colleagues that bring extremely valuable perspectives to our interests in robotics, automation, machine learning, and data science," states Ken Goldberg, Chair of IEOR.  Abbeel's work has been featured in many popular press outlets, including BBC, New York Times, MIT Technology Review, Discovery Channel, SmartPlanet and Wired.  In a recent article in Science, Jordan was named the currently most influential computer scientist in the world.

Prof. David Wagner, who co-teaches CS C8: The Foundations of Data Science, and Prof. David Culler, interim dean of the new Division of Data Sciences,  are featured in a San Francisco Chronicle article titled "Universities rush to add data science majors as demand explodes."   As worplace demand for data scientists and data enigineers continues to soar,  student enrollment in CS C8 has more than tripled since 2016. The Division of Data Sciences was established in the College of Engineering in December,  and a data science undergraduate major--the first new undergraduate major the College of Letters & Science in 16 years--is in the works.  “No program has grown this fast at Berkeley,” said Culler.

CS Prof. Emeritus David Patterson published an opinion piece in Wired in response to former Google employee James Damore’s memo, in which Damore stressed that women are biologically different and not suited to working in technology companies like Google.  Patterson, along with Maria Klawe of Harvey Mudd College and John Hennessy of Stanford, highlighted four main points in rebuttal to Damore’s memo: 1) implicit bias exists, 2) members of underrepresented groups are discouraged by daily biases not experienced by others, 3) a shortage of software engineers will limit the growth of the industry, and 4) it's more effective to discuss these issues face-to-face than via electronic communication.

CS Assistant Prof. Sergey Levine explores how deep learning will unleash robotics in an NVIDIA AI Podcast which first aired on Sept 1st.  “One of the most important things is that you have to somehow communicate to the robot what it means to succeed,” Levine said in a conversation with AI Podcast host Michael Copeland. “That’s one of the most basic things …You need to tell it what it should be doing.”  He points out that it’s important that the robots don’t just repeat what they learn in training, but understand why a task requires certain actions. “If you want to get a robot to do interesting things, you kind of need it to learn on its own,” Levine said

CS Prof. Lotfi Zadeh, known as the Father of Fuzzy Logic, passed away on the morning of September 6, 2017.  He was 96.  Zadeh touched many lives and had a tremendous impact on many scientific and technological fields.  He is best known as the founder of fuzzy mathematics, fuzzy set theory, fuzzy logic, Z numbers and Z-transform.   He won many awards including the IEEE Medal of Honor,  the Honda Prize, the Okawa Prize, and the IEEE Hamming Medal.  He was a founding member of the Eurasian Academy and a member of the Silicon Valley Engineering Hall of Fame.  A state funeral will be held in his birth city of Baku, Azerbaijan.  Memorial arrangements in the U.S. are pending.

EE Prof. Edward A. Lee has published his first book for a general audience, Plato and the Nerd: The Creative Partnership of Humans and Technology  (MIT Press, 2017).  In it, Lee observes that engineering is a deeply intellectual and fundamentally inventive process and that the producers of digital technology have an unsurpassed medium for creativity.   Janos Sztipanovits writes in his review "Lee's book is a brilliant articulation of the unique and increasingly important role technology plays in the evolution of mankind. He offers a deeply optimistic perspective with clarity and intellectual rigor without ever losing accessibility."  Lee has previously coauthored several textbooks on topics including digital communication, signal processing, embedded systems, and software modeling.