Katherine Yelick elected AAAS fellow

EE Prof. Katherine Yelick, who is also the Associate Laboratory Director (ALD) for Computing Sciences at Lawrence Berkeley National Laboratory, has been elected fellow of the American Association for the Advancement of Science (AAAS), the nation’s largest scientific organization.  AAAS fellows are members "whose efforts on behalf of the advancement of science or its applications are scientifically or socially distinguished."  Yelick was honored “for significant research contributions to programming languages, compilers and parallel computing, and for exceptional service to the computing research community.”

IIT establishes Soumitra Dutta Chair in Artificial Intelligence

The Indian Institute of Technology (IIT) has established "The Soumitra Dutta Chair in Artificial Intelligence," named for CS alumnus Soumitra Dutta (M.S. '87/Ph.D. '90 adviser: Lotfi Zadeh), "to promote excellence and leadership in teaching, research, and development in the field of artificial intelligence and to facilitate wider and deeper interaction between the industry and IIT Delhi faculty and students."  Dutta, the founding Dean of the SC Johnson College of Business at Cornell University, is  best known for being the architect of the Global Innovation Index.

Q+A with Dean Tsu-Jae King Liu

EE Prof. and Dean of Engineering Tsu-Jae King Liu is the subject of an interview in the Berkeley Engineer.  She is the first female dean in the College of Engineering's 150-year history and a pioneer in semiconductor devices and technology.  King Liu talks about her background and near-term goals, diversity in education, and some of the opportunities and challenges that lie ahead in engineering education at Berkeley.

Microrobots fly, walk and jump into the future

EE alumnus and Prof. Kris Pister (M.S.’89, Ph.D.’92), his grad student Daniel Drew, and research being done in the Berkeley Sensor and Actuator Center (BSAC), are featured in a Berkeley Engineering articled titled "Microrobots fly, walk and jump into the future."  Roughly the size and weight of a postage stamp, micro-robots consist of a mechanical structure, propulsion system, motion-tracking sensor and multiple wires that supply power and communication signals.  They evolved from Pister’s invention of “smart dust,” tiny chips roughly the size of rice grains packed with sensors, microprocessors, wireless radios and batteries. Pister likes to refer to his microrobots as “smart dust with legs.”  “We’re pushing back the boundaries of knowledge in the field of miniaturization, robotic actuators, micro-motors, wireless communication and many other areas,” says Pister. “Where these results will lead us is difficult to predict.”

Study shows playing high school football changes the teenage brain

A research study led by EE Prof. Chunlei Liu (senior author) and postdoc Nan-Ji Gong (first author), which is the cover story of the November issue of Neurobiology of Disease, found that a single season of high school football may be enough to cause microscopic changes in the structure of the brain.  The team (which included researchers from Duke and UNC Chapel Hill) used a new type of magnetic resonance imaging (MRI) to take brain scans of 16 high school players, ages 15 to 17, before and after a season of football. They found significant changes in the structure of the grey matter in the front and rear of the brain, where impacts are most likely to occur, as well as changes to structures deep inside the brain.  This is one of the first studies to look at how impact sports affect the brains of children at this critical age.

Deep Learning Pioneer Bryan Catanzaro on the Importance of Research

EECS alumnus Bryan Catanzaro (Ph.D. '11 advisor: Kurt Keutzer), the Vice President of Applied Deep Learning Research at NVIDIA, is one of the subjects of a Forbes series on the AI innovators "who have dedicated their life’s work to improving the human condition through technology advancements."  Catanzaro has worked alongside deep learning pioneers Adam Coates and Andrew Ng at Baidu, creating the next generation of systems for deep learning training and developing end-to-end deep learning-based speech recognition models. In the interview, he talks about one of the most important conferences in the researching world (NeurIPS 2018) and why research is important to help build out the future of AI.

Tsu-Jae King Liu

Tsu-Jae King Liu inducted into 2019 Silicon Valley Engineering Hall of Fame

EE Prof. and Dean of Engineering Tsu-Jae King Liu as been elected to the 2019 Silicon Valley Engineering Council (SVEC) Hall of Fame.  Inductees must have demonstrated significant engineering or technical achievements, provided significant guidance in new and developing fields of engineering-based technology, and/or have managed or directed an organization making noteworthy contributions in design, manufacturing, production, or service through the uses of engineering principles and applications.  They also must have contributed significantly to one or more technical societies and accomplished significant community service activities (or have provided noteworthy advice to governmental committees, etc.).  King Liu is known for her contributions to nanoscale MOS transistors, memory devices, and MEMS devices. Other EECS inductees include Profs. Randy Katz (2018), Chenming Hu (2017), Paul Gray (2015), David Hodges (2012), and David Patterson (2005).

Skin-like sensor maps blood-oxygen levels anywhere in the body

A new flexible sensor developed by Berkeley EE researchers can map blood-oxygen levels over large areas of skin, tissue and organs, potentially giving doctors a new way to monitor healing wounds in real time.  The research group, which includes Prof. Ana Claudia Arias, Yasser Khan, Donggeon Han, Adrien Pierre, Jonathan Ting, Xingchun Wang and Claire Lochner (plus researchers from Cambridge Display Technology Ltd), have created a lightweight, thin, and flexible oximeter made of organic electronics printed on bendable plastic that molds to the contours of the body.  The sensor, which is described in this week's Proceedings of the National Academy of Sciences, is made of an alternating array of printed light-emitting diodes and photodetectors and can detect blood-oxygen levels anywhere it is placed. The sensor shines red and infrared light into the skin and detects the ratio of light that is reflected back.

Diane Greene makes Americas 50

CS alumnus Diane Greene (M.S. '88), the CEO of Google Cloud, has been named to Data Economy's list of Americas 50: The world’s first top 50 North, Central and South American influencers.  The list highlights "personalities who are leading data centres, cloud, edge computing and data through charting new innovations or technological breakthroughs, sheer investment or business acumen, or exceptional entrepreneurial skillsets."

UC Berkeley’s Fastest-Growing Class Is Data Science 101

The Wall Street Journal has published an article titled "UC Berkeley’s Fastest-Growing Class Is Data Science 101," about the creation of the new Division of Data Science and Information at Berkeley.  It discusses the popular introductory course Data Sciences 101, the new Data Science major,  and how the field of Data Science is exploding.   "Berkeley’s goal isn’t just to train data scientists, but to get students from other disciplines, including the humanities and social sciences, to also learn what a data orientation can do for their work."