Jitendra Malik takes position at Facebook

Facebook has announced that it has hired EECS Prof. Jitendra Malik in an effort to expand its artificial intelligence research.  Malik, one of the most influential researchers in computer vision, will be based at the Menlo Park lab, where Facebook Artificial Intelligence Research (FAIR) is headquartered.  He will retain part-time affiliation with U.C. Berkeley to advise students; the Berkeley AI Research (BAIR) Lab is one of several receiving funding from FAIR.  “He has been influential in shaping Berkeley’s AI group into the exceptional lab that it is today, and we look forward to his help in continuing the growth of FAIR,” Facebook chief AI scientist Yann LeCun wrote in a news release.  LeCun added that Facebook plans to support a number of doctoral students who will conduct research in collaboration with researchers at FAIR and their university faculty, or on topics of interest to FAIR under the direction of their faculty.

Dawn Tilbury: Shaping engineering research

EECS alumna Dawn Tilbury (M.S. '92/Ph.D. '94) is the subject of a Berkeley Engineering profile in honor of  the campus's year-long 150th anniversary celebration.  As head of the National Science Foundation's (NSF) Directorate for Engineering, which provides academic institutions with more than 40% of the federal grants for fundamental engineering research, Tilbury exemplifies the type of leadership nurtured through a Berkeley Engineering education.  “As the primary funder of basic research, NSF is uniquely positioned to bring people together to discover new approaches to renewable energy, reliable transportation, enhanced health and safety, and other national challenges," she said.

Lensless Cameras May Offer Detailed Imaging of Neural Circuitry

EECS graduate students Nick Antipa and Grace Kuo, along their advisor Associate Prof. Laura Waller, have penned an article for Photonics Media titled "Lensless Cameras May Offer Detailed Imaging of Neural Circuitry" about a new architecture which could enable simultaneous monitoring of millions of neurons in 3D space at frame rates limited only by image sensor read times.  Instead of using a large, lens-based light-field microscope to image individual brain neurons, the DiffuserCam lensless imaging architecture consists of a diffuser placed in front of a 2D image sensor. When an object is placed in front of the diffuser, its volumetric information is encoded into a single 2D measurement.   Borrowing tools from the field of compressed sensing, a 3D image is reconstructed by solving a sparsity-constrained optimization problem.

RAFAR wins Best Student Paper Award at MARSS 2018

"Bidirectional thin-film repulsive-/attractive-force electrostatic actuators for a crawling milli-robot," written by recent EE alumnus Ethan Schaler (Ph.D. '18), his advisor Prof. Ron Fearing, and two undergraduates from other departments (Loren Jiang in BioE and Caitlyn  Lee in E3S), received the Best Student Paper Award  from the International Conference on Manipulation, Automation, and  Robotics at Small Scales (MARSS) 2018 in Nagoya, Japan in July. The authors demonstrated a new thin-film electrostatic actuator (RAFA)  capable of generating bidirectional repulsive- and attractive-forces:  156 Pa in repulsion and 352 Pa in attraction, when operating at up to  1.2 kV. They used this actuator to power RAFAR, a 132 mg milli-robot  that crawls at 0.32 mm/s with anisotropic friction feet.   Schaler will be joining NASA Jet Propulsion Laboratory (JPL) this summer.

Katherine Yelick to testify before House Committee on Science, Space and Technology

Prof. Katherine Yelick is one of four witnesses set to testify before the U.S. House of Representatives’ Committee on Science, Space and Technology.  The committee is conducting a hearing on “Big Data Challenges and Advanced Computing Solutions.”  Yelick, who is the Associate Laboratory Director for Computing Sciences at Berkeley Lab, will discuss the emerging role of machine-learning methods that have revolutionized the field of artificial intelligence and may similarly impact scientific discovery.  The hearing will be livestreamed on Thursday, July 12, 2018.

Oasis Labs raises $45M for ‘privacy-first’ cloud

Oasis Labs Inc., a startup co-founded and led by Prof. Dawn Song to build a high-performance cloud computing platform on blockchain, announced that it has raised $45 million in funding. Oasis is building a cloud-based blockchain platform intended to outdo existing distributed-ledger implementations in two key areas: performance and privacy. Song elaborated in a statement that “the Oasis platform aims to give users control over their data, without the underperformance and lack of privacy of existing blockchain platforms.”  The funding round saw the participation of more than 70 investors including Accel and a16z crypto, an Andreesson Horowitz fund.

Maxim Rabinovich named 2018 Hertz-Gates Fellow

CS Ph.D. student Maxim Rabinovich (joint advisors: Michael Jordan and Daniel Klein) has received a 2018 Fannie and John Hertz Foundation Hertz-Gates Fellowship in Global Health and Development.  Rabinovich is currently researching machine learning and natural language processing, and is interested in developing artificial intelligence tools that support and extend human reasoning. Recent work in this direction includes projects on minimax theory for multiple testing, code generation from natural language specifications, fine-grained entity typing, and function-specific mixing rates for MCMC.  Rabinovich's work has been supported by the Hertz Foundation since 2015.

Tawfiq Mossadak named sales and marketing manager of Sensortech Systems

EECS alumnus Tawfiq Mossadak (B.S. '97, member of HKN) has been named sales and marketing manager of Sensortech Systems, a manufacturer of measurement and control instruments.  Tawfiq, who has 15 years of experience at Avnet, Madell Technology, and Altera,  will be responsible for leadership of the business development team, driving revenue, marketing and business strategy.  This appointment is part of Sensortech Systems’ expansion, which includes a new larger building, higher capacity production line with state-of-the-art environmental product testing.

Larry Nagel wins IEEE Donald O. Pederson Award in Solid-State Circuits

EECS alumnus Larry Nagel (B.S. '69/M.S. '70/Ph.D. '75) has won the 2019 Institute of Electrical and Electronics Engineers (IEEE) Donald O. Pederson Award in Solid-State Circuits, named for his graduate advisor EECS Prof. Donald O. Pederson.  The award recognizes outstanding contributions to solid-state circuits and has previously been presented to five EECS professors: Paul Gray, Robert Brodersen, Ping Ko, Chenming Hu and Robert Meyer.  Nagel was cited "for the development and demonstration of SPICE as a tool to design and optimize electronic circuits."  His Ph.D. dissertation was on SPICE2 and he founded Omega Enterprises in 1998 to consult on analog circuit design, circuit simulation, and semiconductor device modeling.

Startup Elph secures $875K in pre-seed funding

The House Fund has backed a $875,000 pre-seed round for Elph, a startup co-founded by two EECS alumni:  Ritik Malhotra (B.S. '15) and Tanooj Luthra (B.S. '13).  Elph operates a portal for accessing decentralized apps known as Ethereum dApps.  It provides a place to store digital assets (cryptocurrencies, tokens, collectibles), find dApps without having to scour the web, and use them natively.  Elph also plans to roll out a software development tool to simplify the process of building dApps.  The House Fund is a berkeley-based AI-focused startup accelerator.