Link Analysis of Social Activity and Suspicious Topic Propagation Ryan Layfield, Latifur Khan, and Bhavani Thuraisingham In Proc. of 2005 South Central Information Security Symposium (SCISS '05), Austin, Texas, April 2005 (2005), Page 17. 2005 - Publication
The 6th International Workshop on Multimedia Data Mining (MDM/KDD2005) Fatma Bouali, Latifur Khan and Florent Masseglia SIGKDD Explorations Vol. 7, No. 2, Page 148-150, (December 2005). 2005 - Publication
Automated Test Data Generation Using MEA-Graph Planning< Manish Gupta, Farokh B. Bastani, Latifur Khan, and I-Ling Yen In Proc. of the 16th IEEE International Conference on Tools with Artificial Intelligence, Boca Raton, Florida, November 2004 (2004), Page 174-182. 2004 - Publication
Change Detection in XML Documents for Fixed Structures using Exclusive-Or (XOR) Latifur Khan, Qing Chen, and Lei Wang Journal of Digital Information Management (JDIM), Digital Information Research Foundation Publishing, Vol. 2, No. 3, Page 142-147, (September 2004). 2004 - Publication
Real-time Classification of Multivariate Motion Data Using Support Vector Machines Chuanjun Li, Punit R. Kulkarni, Li Liu, B. Prabhakaran, and Latifur Khan In Proc. of ACM SIGKDD 5th International Workshop on Multimedia Data Mining, Seattle, Washington, August 2004 (2004), Page 1-7. 2004 - Publication
Automatic Image Annotation and Retrieval using Weighted Feature Selection Lei Wang, Li Liu, Latifur Khan, and Weili Wu In Proc. of IEEE Sixth International Symposium on Multimedia Software Engineering, Miami, Florida, December 2004 (2004), Page 435-442. 2004 - Publication
A Framework for Image Annotation Using Semantic Web Ahmed Bashir and Latifur Khan In Proc. of ACM SIGKDD First International Workshop on Mining for and from the Semantic Web (MSW 2004), Seattle, Washington, August 2004 (2004). 2004 - Publication
Retrieval Effectiveness of Ontology-based Model for Information Selection Latifur Khan, Dennis McLeod, and Eduard Hovy VLDB Journal: The International Journal on Very Large Databases, ACM/Springer-Verlag Publishing, Vol. 13, No. 1, Page 71-85, (January 2004). 2004 - Publication
Automatic Image Annotation and Retrieval Using Subspace Clustering Algorithm Lei Wang, Li Liu, and Latifur Khan In Proc. of 2nd ACM International Workshop on Multimedia Databases, Arlington, Virginia, November 2004 (2004), Page 100-108. 2004 - Publication
MDM/KDD2003: Multimedia Danta Mining Valery Petrushin, Anne Kao, and Latifur Khan ACM SIGKDD Explorations, Vol. 6 No. 1, Page 106-108, (June 2004). 2004 - 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.”