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.

Ming Wu to step down as faculty director of the NanoLab

EE Prof. Ming Wu will be stepping down as faculty director of the Berkeley Marvell Nanofabrication Laboratory (NanoLab) at the end of 2018.  He took up the position in 2008 after his predecessor, EE Prof. Tsu-Jae King Liu, became associate dean of research at the College of Engineering.  At the time, a new state-of-the-art clean room research facility was in its final stages of construction in Sutardja Dai Hall.  Under Wu’s leadership, multiple capabilities were added to the NanoLab – including a suite of high-resolution spectroscopy and microscopy tools.

Berkeley computer theorists show path to verifying that quantum beats classical

UC Berkeley computer theorists led by CS Prof. Umesh Vazirani,  published a proof of random circuit sampling (RCS) as a verification method to prove quantum supremacy in a paper published Monday, Oct. 29, in the journal Nature Physics.  Quantum supremacy is the term that describes a quantum computer’s ability to solve a computational task that would be prohibitively difficult for any classical algorithm.  “Besides being a milestone on the way to useful quantum computers, quantum supremacy is a new kind of physics experiment to test quantum mechanics in a new regime. The basic question that must be answered for any such experiment is how confident can we be that the observed behavior is truly quantum and could not have been replicated by classical means. That is what our results address,” said Vazirani.

Barbara Simons to be awarded Athena Lifetime Achievement Award

2005 CS Distinguished Alumna Barbara Simons (Ph.D. '81) will be receiving the Athena Lifetime Achievement Award at the CITRIS Women in Tech Symposium on Friday, 11/16.  Simons, who is a past president of the Association for Computing Machinery (ACM), is board chair of Verified Voting, a non-partisan organization that advocates for reliable and secure voting practices.  She is the author of “Broken Ballots: Will Your Vote Count?” and is a long-time champion for programs to increase diversity in computer science and engineering.  She will not be able to attend the conference but will make an appearance in a short video.

IP paper wins 2018 ACM SenSys Test of Time Award

A paper written by CS Prof. David Culler and alumnus Jonathan Hui (M.S. '05/Ph.D. '08) in 2008 titled "IP is Dead, Long Live IP for Wireless Sensor Networks" has won the Association of Computing Machinery (ACM) Conference on Embedded Networked Sensor Systems (SenSys) 2018 Test of Time Award.  The paper dispelled the notion that IP cannot run on wireless embedded sensors and made a long term impact  on standards like 6LoWPAN and platforms like Thread.  The award recognizes papers that are at least 10 years old and have had long lasting impact on networked embedded sensing system science and engineering.  Culler previously won this award in both 2014 and 2015.

"Graphical Lasso and Thresholding" wins 2018 Data Mining Best Paper Award

A paper titled “Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions” by IEOR PhD candidate Salar Fattahi and EE Assistant Prof. Somayeh Sojoudi has won the 2018 Institute for Operations Research and the Management Sciences (INFORMS) Data Mining (DM) Best Paper Award.   The paper compares the computationally-heavy Graphical Lasso (GL) technique, a popular method for learning the structure of an undirected graphical model, with a numerically-cheap heuristic method that is based on simply thresholding the sample covariance matrix.  By analyzing the properties of this conic optimization problem, the paper shows that its true complexity is indeed linear (both in time and in memory) for sparse graphical models and solves instance as large as 80,000×80,000 (more than 3.2 billion variables) in less than 30 minutes on a standard laptop computer, while other state-of-the-art methods do not converge within 4 hours.  The award recognizes excellence among DM members, particularly its student members, and was announced at the INFORMS Annual Meeting in Phoenix, Arizona, on November 5th.

In the Age of A.I., Is Seeing Still Believing?

EE Profs. Hany Farid and Alyosha Efros, the class CS 194-26—Image Manipulation and Computational Photography, and grad students Shiry Ginosar, Deepak Pathak, Angjoo Kanazawa, Richard Zhang, Jacob Huh and Tinghui Zhou are profiled in a New Yorker article titled "In the Age of A.I., Is Seeing Still Believing?" about how advances in digital imagery could deepen the fake-news crisis—or help us get out of it.  Farid is an expert in photo-forensics who "trained" a neural network to pick out numbers in the pixels of a degraded image of a license plate.  Efros pioneered a method for intelligently sampling bits of an image and probabilistically recombining them so that a texture could be indefinitely and organically extended (known in Photoshop as "content-aware fill").   True realism, Efros said, requires “data, data, data” about “the gunk, the dirt, the complexity of the world,” which is best gathered by accident, through the recording of ordinary life.

Alberto Sangiovanni-Vincentelli wins ACM SIGDA Pioneering Achievement Award

EE Prof. Alberto Sangiovanni-Vincentelli has won the 2018 Association of Computing Machinery (ACM) Special Interest Group on Design Automation (SIGDA)  Pioneering Achievement Award.   This award honors a person for a lifetime of outstanding contributions within the scope of electronic design automation, as evidenced by ideas pioneered in publications, industrial products, or other relevant contributions. The award is based on the impact of the contributions throughout the nominee’s lifetime.  Sangiovanni-Vincentelli is known for his contributions to cyber-physical systems and design automation.  He co-founded  two companies in the field: Cadence Design Systems and Synopsys, Inc.

Teresa Meng wins ACM SIGMOBILE Outstanding Contribution Award

EECS alumna Theresa H. Meng (M.S. '85/Ph.D. '88 advisor: David Messerschmitt) has won the 2018 Association of Computing Machinery (ACM ) SIGMOBILE Outstanding Contribution Award.  This award is given for significant and lasting contributions to the research on mobile computing and communications and wireless networking.  Meng, who is a Professor Emerita at Stanford University and founder of Atheros Communications Inc., was cited "for groundbreaking research, engineering and entrepreneurial leadership to make Wi-Fi faster, lower power, and lower cost."

Berkeley announces transformative Division of Data Science and Information

UC Berkeley today announced its plan to form a new interdisciplinary academic unit to coordinate and foster the growth of various programs related to informatics — which encompasses computing as well as societal implications of information technologies — across the campus. This new unit, provisionally named the Division of Data Science and Information, will provide a framework to facilitate collaborations between researchers from different disciplines.  A global search has begun for a new associate provost to head the new division beginning on July 1, 2019.