Message Correlation in Automated Communication Surveillance through Singular Value Decomposition Ryan Layfield, Latifur Khan, and Bhavani Thuraisingham In Proc of Sixth International Workshop on Multimedia Data Mining in conjunction with KDD 2005: The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, IL, USA, August 2005 (2005), Page 85-88. 2005 - Publication
Image Annotations By Combining Multiple Evidence & WordNet Yohan Chin, Latifur Khan, Lei Wang, and Mamoun Awad In Proc. of 13th Annual ACM International Conference on Multimedia (MM 2005), Singapore, November 2005 (2005), Page 706-715. 2005 - Publication
Suspicious Event Detection in Surveillance Video Gal Lavee, Lei Wang, Latifur Khan, and Bhavani Thuraisingham In Proc. of 2005 South Central Information Security Symposium (SCISS '05), Austin, Texas, April 2005 (2005), Page 18. 2005 - Publication
Hierarchical Clustering for Complex Data Latifur Khan and Feng Luo The International Journal on Artificial Intelligence Tools, World Scientific publishers, Vol. 14, No. 5 Page 791-810, (October 2005). 2005 - Publication
Dependable Real-time Data Mining Bhavani Thuraisingham, Latifur Khan, Chris Clifton, John Maurer, and Marion Certui Invited Paper in 8th IEEE International Symposium on Object-oriented Real-time Distributed Computing, Seattle, Washington, May, 2005 (2005), Page 158-165. 2005 - Publication
Improving Image Annotations using WordNet Yohan Chin, Lei Wang, and Latifur Khan In Proc. of International Workshop on Multimedia Information Systems (MIS 2005), Sorrento, Italy, September 2005 (2005), Page 115-130. 2005 - Publication
A Link-based Privacy Preserving Data Mining Framework Li Liu, Latifur Khan, Bhavani Thuraisingham, and Chris Clifton In Proc. of 2005 South Central Information Security Symposium (SCISS '05), Austin, Texas, April 2005 (2005), Page 16. 2005 - Publication
A Framework for Effective Annotation of Information from Closed Captions Using Ontologies Latifur Khan, Dennis McLeod, and Eduard Hovy The Journal of Intelligent Information Systems (JIIS), Kluwer Academic Publishers, Vol. 25, No. 2 Page 181-205, (September 2005). 2005 - Publication
A Framework for a Video Analysis Tool for Suspicious Event Detection Gal Lavee, Latifur Khan, and Bhavani Thuraisingham In Proc. of Sixth International Workshop on Multimedia Data Mining in conjunction with KDD 2005: The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, IL, USA, August 2005 (2005), Page 79-84. 2005 - Publication
A Study of the Model and Algorithms for Handling Location Dependent Continuous Queries Manish Gupta, Manghu Tu, Latifur Khan, Farokh Bastani, and I-Ling Yen The International Journal of Knowledge and Information Systems (KAIS), Springer- Verlag, Vol. 8, No. 4, Page 414-437 (November 2005). 2005 - Publication
University of Texas at Dallas researchers will play an important part in a $7.5 million contract designed to produce greater communication among government agencies.
Part of the federal government’s highly competitive Multidisciplinary University Research Initiative (MURI), the five-year project is based on the premise that enhanced information security will persuade government workers to share information with one another more freely, confident that it won’t get into the wrong hands.
“Assured information sharing has been a problem for decades, but only after 9/11 has so much emphasis has been placed on it,” said Bhavani Thuraisingham, a professor of computer science and director of the Cyber Security Research Center in the Erik Jonsson School of Engineering and Computer Science at UT Dallas. “We now hear organizations such as the CIA and the FBI saying they wish they had better ways to share information, so we are developing improved approaches for managing, sharing and analyzing data, including geospatial data such as maps and images.”
Let’s say you’re looking for a one-bedroom apartment in northeast Dallas that has a grocery store, Catholic church and health club within walking distance, costs less than $800 a month and has both high-speed Internet access and a low crime rate.
Finding that dream apartment could take awhile right now. But technology under development by UT Dallas researchers aims to speed such a search, enabling people to find the perfect place today and move in tomorrow.Is that soon enough for you?
Whether you’ve just arrived to start studies at a university or you’re expected to start a new job on the other side of the country on Tuesday, there’s a good chance that sooner or later you’d make use of such technology. Which is why Latifur Khan and his team of graduate students at UT Dallas are working to provide options that take such Web searches to the next level.
Researchers from The University of Texas at Dallas and UT Southwestern Medical Center are investigating new ways to use old mobile phone technology to help first responders in developing countries reduce the time it takes to transport traffic accident victims to hospitals.
Part of the research involves using data collection methods to identify areas of large cities that are prone to traffic-related injuries but lack information to allocate limited resources optimally.
“We are assisting in the area of injury research,” said Dr. Dohyeong Kim
, associate professor of public policy and political economy and of geospatial information sciences in the School of Economic, Political and Policy Sciences
at UT Dallas. “We want to use traditional cellphone technology in wide use in these countries to provide more accurate accident location information to first responders.”