Chancellor’s Professor of Computer Science Nikil Dutt and Assistant Professor of Computer Science Marco Levorato have received a $300,000 research grant from the National Science Foundation (NSF) for designing a personalized ubiquitous healthcare framework using the Internet of Things (IoT). Dutt and Levorato are leading the research project “IoCT-CARE: Internet of Cognitive Things for Personalized Healthcare” jointly with Finnish partners at the University of Turku, the Turku University Central Hospital and VTT Finland. The two-year project investigates a self-aware cognitive IoT architecture for ubiquitous health monitoring that can predict the early onset of critical health conditions such as heart attacks. The project is funded as part of the NSF WiFiUS program, which is jointly managed by the Academy of Finland and the U.S. National Science Foundation, and aims to expand research collaboration between Finland and the United States in new areas of wireless telecommunications research.
Assistant Professor of Computer Science Marco Levorato and Assistant Professor of Mechanical and Aerospace Engineering Solmaz Kia have received a $500,000 research grant from the National Science Foundation’s Smart and Autonomous Systems program. The project, “Cognitive and Reflective Monitoring Systems for Urban Environments,” investigates an innovative urban IoT-based monitoring architecture for smart cities. In the envisioned system, mobile drones and sensors interoperate with the layered citywide networking and computation infrastructure to jointly optimize distributed data acquisition, transportation and processing, as well as drones’ navigation. The project leverages recent IoT architectures such as fog and edge computing, and introduces a new notion of architecture level intelligence for mobile sensor networks.
From left to right: Andrei Homescu, Per Larsen, Stephen Crane, Michael Franz and Immunant’s summer intern, Julian Lettner.
A tiny computer security company has been working quietly at the Cove to develop ways of protecting mobile systems against hackers. Immunant builds specialized tools for developers. The company’s software transforms the way code is compiled, linked, and loaded by a host operating system. This three-person company’s reputation in the security community belies its actual size. “Our industry is relationship-heavy,” says Stephen Crane, Immunant’s CTO. “We have built up credibility over years of collaborations. This is a premium advantage in a field with a huge amount of snake oil. A lot of companies promise more security than they can deliver on.” Meanwhile, the tools Immunant is developing could improve system security for hundreds of millions of mobile network users by safeguarding the computers that act as the nodes of communications networks from hacking incursions.
Immunant was co-founded by three graduate and post-doctoral researchers at the UCI School of Information and Computing Sciences (ICS); Per Larsen, Andrei Homescu, and Crane. Their advisor, UCI Professor of Computing Science, Michael Franz, also has a stake in the startup.
Read the full story on the UCI Applied Innovation website.
The UCI Office of Inclusive Excellence (OIE) has appointed ICS professors Melissa Mazmanian, Amelia Regan and Babak Shahbaba to serve as DECADE (Diverse Educational Community and Doctoral Experience) Graduate Faculty Mentors. Mazmanian will serve as a mentor for the graduate program in informatics, Shahbaba will be the mentor for the graduate program in statistics; and Regan will serve as a mentor for the graduate programs in computer science, network systems and transportation science. They each will serve two-year terms that started in July.
Chancellor’s Professor of Computer Science Gene Tsudik co-authored a paper, titled “Closing the Floodgate with Stateless Content-Centric Networking,” which received the Best Paper Award at the 26th International Conference on Computer Communications and Networks (ICCCN) that took place July 31-Aug. 3, 2017 in Vancouver, Canada. The ICCCN, which is co-sponsored by the IEEE Communications Society, is a leading international conference for presenting new ideas and fundamental advances in the fields of computer networks and communications.
“Overall [Musk is] definitely too negative,” said Sameer Singh, Associate Professor of Computer Science at University of California, Irvine, during an interview with TheWrap. “I’m much more positive about it and so are a lot of AI researchers — otherwise we wouldn’t be working in this area if we thought it was going to spell doom for the society.”
Professor Singh focuses his research on machine learning, and believes the human-AI dynamic will continue to be a master-and-servant relationship for years to come.
Read the full story at The Wrap.
Assistant Professor of Computer Science Sameer Singh is scheduled to deliver a talk on machine learning to the Orange County ACM Chapter on Wednesday, July 12, 2017. Singh’s talk, titled “Explaining Black-Box Machine Learning Predictions,” will include approaches to explain the predictions of any classifiers in an interpretable and faithful method.
The meeting is the fourth installment of the OC chapter’s 2017 bi-monthly evening program series co-sponsored by the IEEE Orange County Computer Society.
Singh will be the third ICS professor to guest speak, following Dean Marios Papaefthymiou and Chancellor’s Professor of Computer Science Michael Franz.
For many, everyday life involves sitting in front of a computer typing endless emails, presentation documents and reports. Then there’s the frequent typing of passwords just to get access to those files. But beware: researchers have hacked together a tool that can harvest what’s being typed simply by listening to the sounds of the keys.
They’ve created the Skype&Type program for snooping on Skype users by learning what frequency matches with specific keys on a laptop. And in June Forbes became a guinea pig for the researchers, PhD student Daniele Lain, Prof. Mauro Conti, and Dr. Alberto Compagno from the University of Padua, and Prof. Gene Tsudik from the University of California, Irvine. The headline from the first field test? Their prototype works. And it stole a randomly-chosen password within seconds of us typing it out.
Read the full story at Forbes.
College campuses are increasingly becoming “smart” as they continue to slowly embrace and implement the Internet of Things (IoT). At UCI, it turns out the very forces behind future IoT scenarios are the students themselves.
The Donald Bren School of Information and Computer Sciences (ICS) held its first IoT Hackathon June 2-4 as the first phase of a dual TIPPERS (Testbed for IoT-based Privacy-Preserving PERvasive Spaces) Challenge to discover the best student talent in the field. TIPPERS is part of the Brandeis DARPA (Defense Advanced Research Projects Agency) program that seeks to develop the technical means to protect the privacy of individuals and enterprises in an increasingly interconnected world. The project sits between two opposing points—privacy and data sharing—to enable a safe and predictable relationship.
“The IoT Hackathon was created with the goal of having students develop applications for a future UCI smart campus,” said Roberto Yus, the hackathon’s organizer who is a post-doctoral fellow working alongside Computer Science Professor Sharad Mehrotra on TIPPERS.
Xiaohui Xie, a computer scientist at the University of California, Irvine, is also applying AI to the genome, though with a broader focus than autism. He, too, hopes to classify any mutations by the odds they are harmful. But he cautions that in genomics, deep learning systems are only as good as the data sets on which they are trained. “Right now I think people are skeptical” that such systems can reliably parse the genome, he says. “But I think down the road more and more people will embrace deep learning.”
Read the full story at the Science website.