"Earable" 3D-printed ear-mounted sensors will monitor body's core temperature

EE Prof. Ali Javey and his research into "Earables," are profiled in a Digital Trends article titled 3D printed ear-mounted wearable will Monitor your body's core temperature.  Earables represent a class of ‘structural electronics’ where sensors and electronics are embedded in the fabricated structure itself.  “Monitoring core body temperature in a continuous fashion could have important medical applications,” Javey continued. “Examples can include monitoring patients with severe conditions, or infants.”  Their goals include making the device smaller while expanding the range of sensors implemented.

Rikky Muller takes on the challenge of reverse-engineering the brain

EE Assistant Prof. Rikky Muller will make a presentation on the theme of Reverse-Engineering the Brain at this year's Global Grand Challenges Summit (GGCS).  Muller is co-founder of Cortera Neurotechnologies, a company which designs medical devices for the treatment of incurable neurological conditions. "We can use devices that record brain signals directly from the the motor cortex of the brain and interpret those signals as movements," she says, "and we can use those signals to control robotic arms, for example, or mouse cursors on a screen."  The GGCS,  sponsored by the National Academy of Engineering (NAE), was created to help find solutions for 14 major engineering challenges critical to the future well-being of humanity and the planet.  Muller will also be awarded an NAE Gilbreth Lectureship, established to recognize outstanding young engineers.

Vern Paxson's cybersecurity startup Corelight raises $9.2M in Series A funding

Corelight, a cybersecurity startup co-founded by CS Prof. Vern Paxson, has raised $9.2 million in Series A funding from Accel Partners, with participation from Osage University Partners and Riverbed Technology Co-founder (and former Berkeley CS professor) Dr. Steve McCanne.  Corelight provides powerful network visibility solutions for cybersecurity built on a widely-used open source framework called Bro, which was developed by Paxson while working at LBNL in 1995.   The Corelight Sensor, which enables wide-ranging real-time understanding of network traffic, is already being used by many of the world’s most capable security operations including Amazon and five other Fortune 100 companies.

Jose Carmena and Michel Maharbiz win 2017 McKnight Technological Innovations in Neuroscience Award

Professors Jose Carmena and Michel Maharbiz have won a 2017 McKnight Technological Innovations in Neuroscience Award for "Neural Dust: an ultrasonic, low power, extreme miniature technology for completely wireless and untethered neural recordings in the brain."  These annual awards come with a $200K prize and are aimed at advancing the range of tools neuroscientists have to map, monitor, and model brain function.  The award will allow Carmena and Maharbiz to apply neural dust technology to the central nervous system, which has the potential to allow the brain to be trained or treated to restore normal functionality following injury or the onset of neuropsychological illness.

Compressed light field microscopy helps build a window into the brain

In a project funded by a $21.6M donation from DARPA,  a light field microscope developed by EE Associate Prof. Laura Waller, MCB Assistant Prof. Hillel Adesnik and their lab groups, is being used to create a window into the brain through which researchers — and eventually physicians — can monitor and activate thousands of individual neurons using light.   The microscope is based on CS Assistant Prof. Ren Ng's revolutionary light field camera which captures light through an array of lenses and reconstructs images computationally in any focus. The microscope is the first tier of a two-tier device referred to as a cortical modem:  it "reads" through the surface of the brain to visualize up to a million neurons; the second tier component "writes" by projecting light patterns onto these neurons using 3D holograms, stimulating them in a way that reflects normal brain activity. The goal of the project is to read from a million individual neurons and simultaneously stimulate 1,000 of them with single-cell accuracy.  “By encoding perceptions into the human cortex," MCB Prof. Ehud Isacoff says, "you could allow the blind to see or the paralyzed to feel touch.”

There are 10 faculty involved in this project, 4 of which are from EECS: Laura Waller, Ren Ng, Jose Carmena and Rikky Muller. The project is being led by Ehud Isacoff from the Helen Wills Neuroscience Institute.

Anca Dragan awarded 2017 Okawa Foundation Research Grant

CS Assistant Prof. Anca Dragan has been selected to receive a 2017 Okawa Foundation Research Grant.  This award recognizes promising young faculty members in the fields of information and telecommunications, and comes with a $10K prize.  The presentaton ceremony will be held on September 20th in San Francisco.

ESPIRiT paper is the most-cited Magnetic Resonance in Medicine article from 2014

The paper titled "ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA" co-written by Associate Prof. Michael Lustig,  his graduate student Pat Virtue, and alumnus Mark J. Murphy (Ph.D. '11 advisor: Kurt Keutzer) has been named the most-cited Magnetic Resonance in Medicine article from 2014.    The article bridges the gap between the two main approaches for parallel imaging (SENSE and GRAPPA) allowing the reconstruction of images from undersampled multicoil data.  It presents a new autocalibration technique combining the extended reconstruction of SENSE with GRAPPA-like robustness to errors.

Authors of the paper are listed as Martin Uecker, Peng Lai, Mark J. Murphy, Patrick Virtue, Michael Elad, John M. Pauly, Shreyas S. Vasanawala, and Michael Lustig.

CS Assistant Teaching Prof. Josh Hug

Thank you, Josh Hug

In an article for the Daily Cal, undergraduate Taylor Choe thanks CS Assistant Teaching Prof. Josh Hug for helping her overcome her negative first impression of Berkeley and discover what makes it so special.   "My mindset going into CS 61B was definitely not a positive one. I struggled with 61A and felt discouraged, making me really come to dislike computer science." she wrote.  But Dr. Hug made her fall in love with computer science and helped her find faith in the public school system.   "You could tell that he wanted to be at lecture and wasn’t thinking about being somewhere else. His projects, homeworks and labs were entertaining and engaging, displaying the time and thought that went into each of them. He constantly emphasized the importance of being an honest person in addition to being an honest programmer. He was somehow able to make a 1,400-person class feel a little smaller. And I don’t think there is anything more you can ask of a professor, especially at a school as large as UC Berkeley."

CS faculty and alumni participate in Turing Award 50th Anniversary

The Turing Award 50th Anniversary celebration was held at the Westin St. Francis in San Francisco on June 23-24, 2017.   CS Professors Stuart Russell and Michael Jordan participated on a panel discussion about advances in deep neural networks, Prof. Umesh Vazirani moderated a panel on quantum computing.  Prof. Emeritus and Turing winner Michael Stonebraker discussed the legal ramifications of collecting data from a growing number of devices with different encoding formats, and alumnus and Turing winner Butler Lampson (Ph.D. '67) participated on a panel about the end of Moore's Law.

The ACM A.M. Turing Award is considered the "Nobel prize of computing," and comes with a $1 million prize for contributions of lasting and major technical importance to the computing field.   EECS faculty have won four:  Richard Karp for theory and efficiency of algorithms (NP-completeness) in 1985, William Kahan for numerical analysis (floating-point) in 1989, Manuel Blum for computational complexity theory and cryptography in 1995, and Michael Stonebraker for modern database systems in 2014.  EECS alumni have won seven: Ken Thompson (B.S. '65/M.S. '66) for operating systems theory (UNIX) in 1983, Niklaus Wirth (Ph.D. '63) for computer languages (EULER/Pascal, etc.) in 1984, Butler Lampson (Ph.D. '67) for distributed, personal computing (workstations, networks, etc.) in 1992, Douglas Englebart (MS. '53/Ph.D. '55) for interactive computing in 1997, Leonard Adleman (Ph.D. '76) for public-key cryptography in 2002, and Shafi Goldwasser (M.S. '81/Ph.D. '84) with Silvio Micali (Ph.D. '82) for cryptography and complexity theory in 2012.

Paper co-authored by Sanjit Seshia and Alexandre Donze receives 2017 IEEE Transactions on CAD Donald O. Pederson Best Paper Award

A paper co-authored by Prof. Sanjit A. Seshia and postdoctoral researcher Dr. Alexandre Donze, along with researchers from Toyota, has been selected for the 2017 IEEE Transactions on CAD Donald O. Pederson Best Paper Award. This award recognizes the best paper published in the Transactions on Computer-Aided Design of Integrated Circuits and Systems publication. Donald O. Pederson was a professor of electrical engineering in EECS and one of the designers of SPICE, the canonical integrated circuit simulator. The paper, entitled "Mining Requirements from Closed-Loop Control Models", received this recognition at the 54th Design Automation Conference.