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.

AJ Shankar's startup Everlaw raises $25M in series B funding

Everlaw, a legal-tech startup founded by alumnus AJ Shankar (CS Ph.D. '09, advisor: Rastislav Bodik), has raised $25 million in a series B funding round.  Berkeley-based Everlaw was established in 2011 as a cloud-based e-discovery platform that lets lawyers easily organize and search through millions of documents, videos, emails, and pictures exchanged between legal teams before a trial.  Shankar, the company's CEO, said the money will be used to invest in AI which which they hope can be used to determine what documents will be a priority or what documents should be looked at next. The funding round was led by existing investors and Silicon Valley venture firm Andreeseen Horowitz.

Andrea Goldsmith wins IEEE Eric E. Sumner Award

2018 Distinguished Alumna Andrea Goldsmith (B.A. '86/M.S. '91/Ph.D. '94, advisor: Pravin Varaiya) has won the IEEE Eric E. Sumner Award "for contributions to the fundamental understanding and innovation in adaptive and multiple antenna techniques for wireless communication networks."    The Sumner Award is sponsored by Nokia Bell Labs and recognizes outstanding contributions to communications technology. Goldsmith, who is the Stephen Harris Professor of Electrical Engineering in the School of Engineering at Stanford University, is an expert in the design, analysis and fundamental performance limits of wireless systems and networks, and in the application of communication theory and signal processing to neuroscience.

John Schulman named MIT TR Pioneering Innovator Under 35

CS alumnus John Schulman (Ph.D. '16, adviser: Pieter Abbeel) has been named to MIT Technology Review's 2018 list of "35 Innovators Under 35," an honor which recognizes "exceptionally talented young innovators whose work we believe has the greatest potential to transform the world."  Schulman, whose dissertation was on "Optimizing Expectations: From Deep Reinforcement Learning to Stochastic Computation Graphs," is cited in the Pioneer category for "training AI to be smarter and better, one game of Sonic the Hedgehog at a time."   He is the co-founder of OpenAI, where he has created some key algorithms in reinforcement learning: he trains AI agents in the same way you might train a dog, by offering a treat for a correct response--in this case, by racking up a high score in a video game.  These algorithms, once trained, might be applied in the real world, where they can be used to improve robot locomotion.

Siemens to acquire startup Comfy

German conglomerate Siemens announced it will acquire Comfy, an Oakland-based startup co-founded in 2012 by two CS alumni, Andrew Krioukov (M.S. '13) and Stephen Dawson-Haggerty (Ph.D. '14).  Both students were advised by David Culler.  Comfy (formerly named Building Robotics) is an end-to-end solution utilizing sensors and smart technology to control all aspects of the workplace environment, allowing office workers to not just control temperature and lighting but determine whether a room is currently empty.  This comprehensive approach has helped Comfy land numerous tech giant clients, including Microsoft, Intel, Salesforce and Infosys.  "Our unique strength is that we have, from the beginning, focused on the end user experience," explained Krioukov. "The building of the future that we envision is one that from the moment you walk into work, it knows who you are and what you're doing that day."  The purchase is part of Siemens' expansion into smart building strategies.

Soumen Chakrabarti and Sunita Sarawagi among 10 Best Machine Learning Researchers in India

Two CS alumni, Soumen Chakrabarti (Ph.D. '96, advisor: Katherine Yelick) and Sunita Sarawagi (Ph.D. '96, advisor: Michael Stonebraker), both currently CSE professors at IIT Bombay, have made the 2018 list of Analytics India Magazine's Top 10 Machine Learning Researchers in India. Chakrabarti's research interests include better embedding representation for passages, entities, types and relation; searching the annotated Web with entities, types and relations; and Graph conductance search. He holds eight US patents, has produced 167 research papers, and authored one of the earliest books on web search and mining.  Sarawagi is interested in deep learning, web information extraction, data integration, graphical models and structured learning.  She has published more than 130 research papers and holds four patents.

Bin Yu wins COPSS 2018 Elizabeth L. Scott Award

EE/CS Prof. and alumna Bin Yu (M.S. '87/Ph.D. '90) has won the Committee of Presidents of Statistical Societies (COPSS) 2018 Elizabeth L. Scott Award.  This award is granted to an individual who has helped foster opportunities in statistics for women, exemplifying the spirit of mathematician and statistician Elizabeth L. Scott. Scott, who like Yu was a Cal alumna and professor, was a founding member of Berkeley's statistics department and fought hard for women's equal treatment on campus and beyond.  COPSS is comprised of the presidents, past presidents and presidents-elect of five Northern American statistical societies, and their awards are considered among the most prestigious in the field of statistics. Yu, who has a split appointment in EECS and Statistics, is interested in statistical inference, machine learning, and information theory. Her collaborations are highly interdisciplinary and include scientists from genomics, neuroscience, precision medicine, and political science.

Jyuo-Min Shyu elected to board of UMC

2016 EE Distinguished Alumnus Jyuo-Min Shyu (Ph.D. '88) has been named a non-Executive Director of United Microelectronics Corporation (UMC), a "leading global semiconductor foundry that provides advanced IC production for applications spanning all major sectors of the electronics industry." Shyu, who is  currently a professor of computer science at National Tsing Hua University, was the 2015-16 Taiwan Minister of Science and Technology.  His research focuses on microelectronic system design and applications, optimization-based design, and multicore design automation.

Margaret Yau named Crafton Hills College Professor of the Year

Alumna Margaret Yau (B.S. EECS '04) has been named a 2017-18 Professor of the Year by Crafton Hills College, a community college in Yucaipa, California.  She was part of the Undergraduate Research Apprentice Program (URAP) from 2002-4, won a Jim and Donna Gray scholarship in 2003, and became a CRA Outstanding Undergraduate Research Award Finalist in 2004.  After graduating with high honors, Yau earned an M.S. from UCSD before taking a position at Crafton Hills in 2011.  “I really enjoy helping the students learn,” she said. “I especially like the ‘light bulb moment’ when they understand some concept or skill. That’s something I find rewarding.”

Susan Eggers is first woman to receive ACM - IEEE CS Eckert-Mauchly Award

Susan Eggers (Ph.D. '89), the 2009 CS Distinguished Alumna, is the recipient of the 2018 ACM-IEEE CS Eckert-Mauchly Award--the first woman so honored in the award's 39 year history.  The award is administered jointly by the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), and is given for contributions to computer and digital systems architecture where the field of computer architecture is considered at present to encompass the combined hardware-software design and analysis of computing and digital systems.  Eggers, who is a professor at the University of Washington’s Paul G. Allen School of Computer Science & Engineering, was cited for "outstanding contributions to simultaneous multithreaded processor architectures and multiprocessor sharing and coherency."  She made significant contributions to cache coherency protocols as well as other memory-related challenges in multiprocessor computers, and performed the first data-driven study of data sharing in shared-memory multiprocessors, which greatly enhanced the field’s understanding of both hardware and software coherency techniques.