Bernd Sturmfels wins 2018 George David Birkhoff Prize in Applied Mathematics

CS Prof. Bernd Sturmfels has won the 2018 George David Birkhoff Prize in Applied Mathematics for "his instrumental role in creating the field of applied algebraic geometry." This prize is jointly awarded by the American Math Society (AMS) and the Society for Industrial and Applied Math (SIAM) every 3 years for "an outstanding contribution to applied mathematics in the highest and broadest sense." Previous winners include Emmanuel Candes, Bjorn Engquist, and many other luminaries.

Jennifer Listgarten joins EECS Department

Dr. Jennifer Listgarten will join the EECS faculty effective Jan 1, 2018.  Listgarten received her B.S. in CS and Physics at Queen's University in Canada, and her M.S. (CS/computational vision) and Ph.D. (CS/bioinformatics/machine learning) from the University of Toronto.  She has spent the past 10 years as a researcher at Microsoft; her area of expertise is machine learning and applied statistics for computational biology.   She is interested in both methods development as well as application of methods to enable new insight into basic biology and medicine.  She will be co-teaching CS189 Introduction to Machine Learning with Prof. Anant Sahai starting in January.

C. L. Hoang publishes "Rain Falling on Tamarind Trees"

A  new book, Rain Falling on Tamarind Trees, by EE alumnus C. L. Hoang (M.S. '82), is set to be released by Willow Stream Publishing tomorrow.  Hoang was born and raised in Vietnam during the war and came to the US in the 1970s.  He wrote this travelogue about his experiences returning to his ancestral homeland for the first time, in 2016, after a decades-long absence.   He still makes his living as an engineer--he holds 11 patents--and says that his engineering training helped him hone his organizational skills and develop an analytical eye for details as well as a love for research.  His first book, Once upon a Mulberry Field, is a historical novel set in Vietnam during the height of the war.

professor ruzena bajcsy

Philly honors Ruzena Bajcsy

The life and contributions of CS Prof. Ruzena Bajcsy are profiled in a Philadelphia Inquirer article titled "Philly honors experts in robotics, genetics, evolution."  Bajcsy, who helped launch the field of computer vision, is being presented with a John Scott Award in science and medicine at the American Philosophical Society this evening.  Her early research paved the way for medical imaging such as MRIs, and she is noted for her cross-disciplinary approach, applying theories from mathematics and biology to her work.  She has devoted her life to research in the fields of robotics, artificial intelligence and machine perception, and took the helm of the Center for Information Technology Research in the Interest of Society (CITRIS) from 2001 to 2005.  Recipients of the Scott Awards are chosen each year based on recommendations from a panel of scientists. The award comes with a $10K prize.

Sanjay Mehrotra named Vice Chair of SIA

Alumnus Sanjay Mehrotra (EECS B.S. '78/M.S. '80) has been named the 2018 Vice Chair of the Semiconductor Industry Association (SIA).  The SIA is a trade association and lobbying group positioned as "the voice of the U.S. semiconductor industry."  Mehrotra, who is currently CEO of Micron, led the growth of SanDisk Corporation from start-up in 1988 to Fortune 500 company in 2016.  He holds 70 patents and has published articles on nonvolatile memory design and flash memory systems.

Stampede2 (Sean Cunningham / TACC)

EECS-affiliated team break record for fastest deep learning training

Grad student Yang You, Prof. James Demmel and Prof. Kurt Keutzer, along with Prof. Cho-Jui Hsieh of UC Davis and Dr. Zhao Zhang of the Texas Advanced Computing Center (TACC), have created, in collaboration with researchers at NVIDIA, a new algorithm which enables them to harness the power of supercomputers to train a deep neural network (DNN) for image recognition at record speed. Deep learning researchers currently use trial-and-error to design new models, requiring them to run training processes tens or even hundreds of times for each model.  The team's effort efficiently used 1024 Skylake processors on the Stampede2 supercomputer at TACC to complete a 100-epoch ImageNet training with AlexNet in 11 minutes - the fastest time recorded to date.  Also, using 1600 Skylake processors, they bested Facebook's prior results by finishing a 90-epoch ImageNet training with ResNet-50 in 32 minutes and, for batch sizes above 20,000, their accuracy was much higher than Facebook's.   The group's breakthrough involved the development of the Layer-Wise Adaptive Rate Scaling (LARS) algorithm that is capable of distributing data efficiently to many processors to compute simultaneously using a larger-than-ever batch size (up to 32,000 items). The LARS algorithm was jointly developed with Nvidia. The findings show an alternative to the trend of using specialized hardware - either GPUs, Tensor Flow chips, FPGAs or other emerging architectures—for deep learning. The team wrote the code based on Caffe and utilized Intel-Caffe, which supports multi-node training. The results are published in Arxiv.

(photo: L. Brian Stauffer)

Andreas Cangellaris named UI provost

EE alumnus Andreas Cangellaris (Ph.D. '85) will be the next provost of the University of Illinois at Urbana-Champaign, the first person to hold the job on a permanent basis in more than two years.  Cangellaris joined the UI engineering faculty in 1997 and has been Dean of the College of Engineering since 2013, administering a college with more than 7,500 undergraduate, 3,000 graduate students, and an annual budget of $265 million. During his tenure as dean, the number of women and traditionally underrepresented undergraduate students increased by more than 55 percent.  "The potential is tremendous, the promise is great. I think overall the campus is ready to take a leadership role in public higher education in the 21st century, and to have the opporunity to be in a leadership position at that level is an honor," he said.  Cangellaris will start his new job on Jan. 16, pending approval by UI trustees on Thursday.

Diane Greene shares insight at Dreamforce conference

CS alumna Diane Greene (M.S. '88) sat down with Ginni Rometty and Marc Benioff at the Dreamforce conference last week to talk about women leaders in tech.  Greene, who is currently the CEO of Google Cloud, started out designing offshore oil structures and systems before becoming a software engineer.  She founded several successful companies, most notably VMware, which created the market for virtualization.  She and Rometty, who is the CEO of IBM, stand among the ranks of the tech giants of industry--almost all of whom are men.   They discussed their careers, leadership philosophies, and how they approach their responsibilites as women in power.

Slaughterbots video shows why we should ban lethal autonomous weapons

Prof. Stuart Russell teamed up with to create a provocative video called Slaughterbots, which shows what can go wrong when autonomous weapons are designed to target humans.  "This short film is more than just speculation" Russell says. "It shows the results of integrating and miniaturizing technology that we already have."

New Master of Cybersecurity degree now accepting applications

The School of Information (I School) is now accepting applications for its new, online Master of Information and Cybersecurity (MICS) program, also known as cybersecurity@berkeley.  MICS is an accredited program designed to train students with professional experience for a career in cybersecurity. Delivered online, MICS provides the technical skills and contextual knowledge students need to assume leadership positions in private sector technology companies as well as government and military organizations.  The program was developed in partnership with the College of Engineering and in collaboration with the Center for Long-Term Cybersecurity (CLTC).  A number of EECS faculty are involved with the CLTC, which seeks to create effective dialogue among industry, academia, policy makers, and practitioners around a future-oriented conceptualization of cybersecurity — what it could imply and mean for human beings, machines, and the societies that will depend on both.  The first application deadline is January 30, 2018, and the first cohort of students will begin classes in May 2018.