Chancellor’s Professor of Computer Science Gene Tsudik received a $90,000 unrestricted gift from Cisco Systems Inc. in response to a research proposal on “Addressing Mobility/Caching and Security/Privacy Challenges in Wireless/Mobile Edge Content-Centric Networks,” which reflects the company’s global commitment to making a positive impact. The gift is half of a $180,000 award split between Tsudik and Northeastern University Professor Edmund Yeh.
Magda El Zarki recalls hassling her children to stop playing video games and enjoy the outdoors.
She laughs at the memory now.
A visit to Ghana in 2010 inspired the UC Irvine computer science professor to try her hand at creating virtual reality spaces and later computer games.
She and Patricia Seed, a UCI history professor, and Jessica Kernan, an industry professional and a staff member at the college’s Institute for Virtual Environments and Computer Games, developed the computer game “Sankofa.”
Read the full story at Los Angeles Times.
Vijay Vazirani, Distinguished Professor of Computer Science, joined the ICS faculty in Fall 2017.
Unlikely UCI trio designs educational computer game that immerses players in 18th-century Ghana
Despite almost a decade in the gaming industry, UCI computer science professor Magda El Zarki has never worked on anything quite like “Sankofa.” The recently completed computer game – created by El Zarki and a colleague, UCI history professor Patricia Seed – follows a young protagonist navigating an unconventional environment for the gaming world: 18th-century Ghana.
The immersive visual software is an attempt to “bring the cultural history of Ghana to life through gameplay,” Seed says, while “providing a learning experience that you couldn’t get in any other way.”
Read the full story at UCI News.
Charles River Analytics Inc., developer of intelligent systems solutions, has announced a contract to build probabilistic reasoning tools for the US Air Force. Charles River will use Figaro, its open-source probabilistic programming language for probabilistic modeling, in creating these tools. The twenty-seven month contract for the Probabilistic Reasoning for Enhanced Course of Action Generation system, or PRECOG, is valued close to $750,000. Charles River’s partners on the PRECOG effort include Paul Szymanski of the Space Strategies Center and Professors Rina Dechter and Alexander Ihler of the University of California at Irvine.
Read the story on the Charles River Analytics website.
When it comes to the best universities in the world for studying computer science, UCI is No. 49. The Times Higher Education just released its World University Rankings for the top 500 universities in engineering and technology and the top 300 universities in computer science. For engineering and technology, UCI ranked No.101-125, and for computer science, UCI cracked the top 50.
The Times Higher Education data team ranks institutions worldwide, focusing on detailed performance information across core areas of university activity — teaching and the learning environment, research, citations, international outlook, and industry income/innovation. The subject rankings use the same methodology as the World University Rankings, but they’re recalibrated based on the individual field. For computer science, slightly more weight was given to the innovation metric and slightly less to citations.
The Donald Bren School of Information and Computer Sciences is pleased to introduce the following nine faculty who joined ICS in calendar year 2017. Emphasizing its strategic priorities in the areas of data science and digital media and learning, these outstanding researchers and educators will be instrumental in moving the school forward as it continues to lead in the exploration of computing technologies and the ways in which they revolutionize the world around us.
Ramesh Jain, Donald Bren Professor of Information & Computer Sciences and director of the UCI Institute for Future Health, sees fertile ground when it comes to making advances in human health and healthcare delivery. With the advent of smartphones and wearable devices, he’s working on developing a one-of-a-kind technology to make health monitoring as common as checking your email.
“We should be focused on health 24/7,” Jain says. “Current healthcare evolved in days when we did not have technology. It evolved in a time when infectious diseases were predominant. Those two things have changed. When you start dealing with chronic diseases, you have to rethink the healthcare system completely.”
Read the full story here.
Ramesh Jain is an entrepreneur, researcher, and educator. He is a Donald Bren Professor in Information & Computer Sciences at University of California, Irvine. Earlier he has been at Georgia Tech, University of California, San Diego, University of Michigan, and some other universities in many countries. He was educated at Nagpur University (B.E.) and Indian Institute of Technology, Kharagpur (Ph.D.) in India. His current research is in Social Life Networks including EventShop and Objective Self, and Health Intelligence. He has been an active member of professional community serving in various positions and contributing more than 400 research papers and coauthoring several books including text books in Machine Vision and Multimedia Computing. He is a Fellow of AAAI, AAAS, ACM, IEEE, IAPR, and SPIE.
Read the interview on the ACM SIG Multimedia Records website.
Say you want to adopt a dog, from a picture, and you task your machine learning system to classify the image as either a husky, which would be safe to adopt, or a wolf, which probably is not a good idea. Can you get that photograph classified with certainty? “Because researchers don’t have insights into what is going on they can easily be misled,” said Sameer Singh, assistant professor in the UCI Department of Computer Science. “Classification is core to machine learning,” said Singh, describing ‘black box’ machine learning predictions at the Association for Computing Machinery (ACM) July 12 meeting at the Cove. Machine learning is pervasive in our lives—from email to games. “It’s in our phones,” said Singh, a machine learning and natural language processing expert. “It is in our houses. It is basically everywhere.”One of his students created a wolf/dog classifier in a few hours that seemed to work—at first.
Read the full story on the UCI Applied Innovation website.