Prof. Sylvia Ratnasamy has been selected by Networking Women for their inaugural list of “10 women in networking/communications that you should WATCH”. Over 100 people around the world submitted nominations for this list and the women nominated have all had impact on the networking field, early in their careers. Prof. Ratnasamy’s research focuses on the design and implementation of networked systems. She co-lead the SPAN Center for networking research. She is a recipient of the ACM Grace Murray Hopper award, the ACM SIGCOMM Test-of-Time award, the ACM SIGCOMM Rising Star award, and the Alfred P. Sloan research fellowship.

Prof. Marti Hearst and a team in the I School are featured in a Berkeley School of Information article titled “Teaching a Computer to Write Poetry”. The discipline of Natural Language Processing aims to analyze and understand human language.  Computers are learning to respond using human language, but poetry presents unique challenges. Poetry evokes feelings and emotion more than just the written word, and sonnets follow a strict scheme of rhyme, meter and metaphor.  Computer-generated sonnets from this team placed second in the 2016 “PoetiX”, a competition of only computer-generated traditional sonnets: fourteen line poems, in iambic pentameter, in either “Shakespearean” or “Petrarchan” form.

Our Electrical Engineering and Computer Science Divisions both ranked third in the 2016 Academic Ranking of World Universities.  UC Berkeley was once again named the top public university worldwide.  The ARWU annually ranks more than 1,200 universities on the quality of both faculty and research.

EECS came in third after Stanford and MIT in both fields.  The CS top five was rounded out by Harvard and Princeton,  while Nanyang University and Georgia Tech followed Berkeley in the EE top five.

Incoming CS Assistant Professor Jonathan Ragan-Kelley, alumnus Shoaib Kamil (Ph.D. CS 2012 under Profs. Armando Fox and Kathy Yelick) and alumnus Wojciech Matusik (B.S. EECS 1997), along with other researchers at MIT CSAIL, Adobe, U. of Toronto, Texas A&M, and U. of Texas have developed Simit,  a programming language that can speed up computer simulations 200-fold or reduce the code they require by 90 percent.

The language has applications outside simulations, and there are even plans for it to augment machine learning, data analytics, optimization and robotics in addition to a version of Google's PageRank algorithm.

Prof. Michel Maharbiz and Jose Carmena's paper on Neural Dust is featured by the online journal Neuron (Vol. 91, Issue 3, August 2016) in an article titled "Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust". They, with Profs. Elad Alon and Jan Rabaey and a team of engineers,  have built the first dust-sized, wireless sensors that can be implanted in the body that could monitor internal nerves, muscles or organs in real time. And because they are batteryless, they could also be used to stimulate nerves and muscles, opening the door to “electroceuticals’ to treat disorders such as epilepsy , to stimulate the immune system or bring down inflammation. Articles have also appeared in:

Scientific American -  "Neural Dust" Could Enable a Fitbit for the Nervous System

UC Berkeley News - Sprinkling of neural dust opens door to electroceuticals

C|NET - Beyond Fitbit: 'Neural dust' puts invisible cyborg tech deep inside you

Popular Science - Wireless 'Neural Dust' Could Monitor Your Brain

The research of Prof. Alexandra von Meier is featured in an IEEE Spectrum article titled “Detecting Cybersecurity Threats by Taking the Grid’s Pulse”. In 2013 Prof. von Meier and collaborator Alex McEachern built a “micro-PMU (phaser measurement units)” that could take snapshots of distribution grids, whose power flows have become increasingly complex. While developing this advanced power sensor they produced a promising tool to protect power grids from cyber attack and will compete in a $77M power grid cyber security R&D contest that DARPA is kicking off next month.

Prof. Sanjam Garg and Nir Yosef have been awarded Okawa Foundation Research Grants for 2016. This award recognizes promising young faculty members in the fields of information and telecommunications. Prof. Garg, whose research interests are in cryptography, security and more broadly theoretical computer science is awarded for his work on software obfuscation. Prof. Yosef, whose research interests are in utilizing high-throughput genomic data sets, and immune cells, covering various aspects of their biology, is awarded for his work on annotating the regulatory genome of mammalian cells.

Prof. David Tse has been named recipient of the 2017 IEEE Claude E. Shannon Award. This award is the highest honor in the field of information theory and was instituted to honor consistent and profound contributions to the field. Each Shannon Award winner is expected to present a Shannon Lecture at the following IEEE International Symposium on Information Theory.

EECS Ph.D. student Nick Carlini (advisor Prof. David Wagner) in collaboration with a team of researchers from Georgetown University are featured in a number of news articles. They have revealed how secret commands could use voice-control tools like Siri and Google Now to take over your smartphone without your knowledge. They ran a series of tests to see just how easily these assistants could be tricked.

Prof. Kannan Ramchandran has been selected to receive the 2017 IEEE Koji Kobayashi Computers and Communications Award, which recognizes outstanding contributions to the integration of computers and communications. Prof. Ramchandran is recognized for his pioneering contributions to the theory and practice of distributed source and storage coding. He pioneered the use of now-popular rate-distortion methods for image and video compression, co-invented distributed source coding, and developed state-of-the-art distributed storage codes which have influenced large-scale storage systems.