research

Leslie Field develops technology to deal with climate change

EECS alumna Leslie Field (M.S. ’88, Ph.D. ’91) is featured in a Berkeley Engineering news article titled “One big reflective band-aid”. After watching Al Gore’s film “An Inconvenient Truth” in 2006, Field was inspired to develop a technology to deal with climate change. The following year she began testing ideas to increase the reflective capacity of ice in a small lake in the Sierra Nevada and founded Ice911, a nonprofit organization dedicated to developing systems to be deployed on the planet’s receding ice sheets.

Tobias Boelter finds vulnerability in WhatsApp

Computer Science graduate student Tobias Boelter has found a security loophole in the popular messaging app WhatsApp that could allow encrypted messages to be read and  intercepted.  Facebook, which acquired WhatsApp in 2014, had emphasized security and end-to-end encryption as a primary selling point.  This flaw may be an inadvertent error or a deliberate backdoor.  Tobias writes "Facebook does not deny that there is a vulnerability that can be used to 'wiretap' targeted conversations by, for example, governments with access to WhatsApp’s servers. And despite WhatsApp’s recent public statements, the vulnerability cannot be avoided by verifying fingerprints or checking a checkbox in the WhatsApp settings."

The search is on for interim dean of new Division of Data Science

Although it is too early to know the candidates, interim Executive Vice Chancellor and Provost Carol Christ has announced that a member of faculty will be appointed interim dean of the new Division of Data Science at UC Berkeley.   Cathryn Carson, co-chair of the faculty advisory board, said the appointment of an interim dean is an important initial step in advancing the research and education of data science on campus.  CS Prof. David Culler said UC Berkeley has already been developing the foundations of the new field, which lies at the intersection of computer science and statistics.  Culler said the purpose of the new division is not only to distinguish the field with importance but also to integrate data science with all other divisions in the school. He added that the faculty advisory board hopes to include the division in the College of Letters and Sciences as well as the College of Engineering and that the position will give data science “a seat at the table” when deans are discussing on-campus issues.

Silvio Micali's new public ledger: ALGORAND

Alumnus Silvio Micali (CS PhD '82, CS Distinguished Alumni 2006) has published a paper called ALGORAND The Efficient and Democratic Ledger where he lays out a groundbreaking new vision of a decentralized and secure way to manage a shared ledger that provides a beautifully elegant solution to the Byzantine General’s problem.  Micali, the Ford Professor of Engineering at MIT, is the recipient of the Turing Award,  the Goedel Prize, and the RSA prize in cryptography.  His new research is profiled in an article titled "Move over Bitcoin - MIT Cryptographer Silvio Micali and his Public Ledger ALGORAND...The Future of Blockchain?

Stephen Director named National Academy of Inventors Fellow

Alumnus Stephen W. Director (EE M.S. '67/Ph.D. '68) has been elected as a fellow of the National Academy of Inventors this year.  The title recognizes "academic inventors who have demonstrated a prolific spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on quality of life, economic development, and the welfare of society."  Director is a pioneer in the field of elec­tronic design automation and has patented methods for max­i­mizing the yield during the man­u­fac­turing of inte­grated cir­cuits.  Director is Provost Emeritus in the Electrical and Computer Engineering department at Northeastern University.

Algorithm probes how AIs reason

Quartz  explores an algorithm devised by CS Prof. Trevor Darrell, L&S CS undergraduate student Dong Huk Park, CS grad student Lisa Anne Hendricks, and postdoc Marcus Rohrbach, along with researchers in the Max Planck Institute for Informatics,  in an article titled "We don’t understand how AI make most decisions, so now algorithms are explaining themselves." Engineers have developed deep learning systems that ‘work’ without necessarily knowing why they work or being able to show the logic behind a system’s decision.   The algorithm uses a “pointing and justification” system, to point to the data used to make a decision and justify why it was used that way.

New ultrasonic sensors can improve security of fingerprint recognition on smartphones

EE Prof. Bernhard Boser is profiled in an article in the Cal Aggie titled "Fingerprint recognition on smartphones unsafe and hackable" in which he discusses a new ultrasonic imaging process developed at UC Berkeley and UC Davis to more securely protect personal information than current finger recognition technologies.  This new technology, which combines an ultrasonic sensor in air and an ultrasonic sensor in tissue, captures a fingerprint in 3D to uniquely identify a person.  It images both the ridges and valleys of a fingerprint surface as well as the subsurface structure of the skin,  distinguishing between layers of tissue by analyzing the densities of live and dead skin cells.  "This imaging process can look at the surface of fingerprints and inside the finger,” Boser said. “There are more patterns inside the finger that can’t be put onto glass screen of a phone.”

Jun-Yan Zhu creates algorithms for the artistically challenged

CS graduate student Jun-Yan Zhu (adviser: Alexei Efros) is the subject of an article in California Magazine titled "Paint by Numbers: Algorithms for the Artistically Challenged."  Zhu and his team apply the tools of machine learning to computer graphics.  For example, in the team's most recent project, they developed software that lets users easily create realistic images from the crudest brushstrokes.  Their research projects have yielded potential applications from improving online searching and e-commerce to art and fashion.

Computational Imaging proposal accepted for collaborative research initiative

A Computational Imaging research proposal submitted by EE Associate Prof. Laura Waller, EE Associate Prof. Michael Lustig, CS Assistant Prof. Ren Ng, CS Assistant Prof. Jonathan Ragan-Kelley, and CS Associate Prof. Benjamin Rechts has been accepted as part of a set of cross-disciplinary activities planned for development by Berkeley Research.  Berkeley Research ran eight faculty forums on a wide range of topics and received 30 proposals which were reviewed by a faculty panel and discussed with the Deans.  The selected projects "hold great promise for Berkeley to be at the forefront of developing a positive vision for the future."