Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao,Latifur Khan , Dorothea K. Thompson, Jizhong Zhou, To appear in BMC Bioinformatics 2007, 8:299, doi:10.1186/1471-2105-8-299. 2007 - Publication
"Feature based Techniques for Auto-detection of Novel Email Worms," Mohammad Masud, Latifur Khan, and Bhavani Thuraisingham To appear in 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007), Nanjing, China, May 2007. 2007 - Publication
Efficient Auto-Detection of Novel Email Worms using Feature based Techniques Mohammad Masud, Latifur Khan, & Bhavani Thuraisingham To Appear in the International Journal of Information Security and Privacy, 2007. 2007 - Publication
A New Intrusion Detection System using Support Vector Machines and Hierarchical Clustering Latifur Khan, Mamoun Awad, and Bhavani Thuraisingham The VLDB Journal: The International Journal on Very Large Databases, ACM/Springer-Verlag Publishing, Vol. 16, No. 1, Page 507-521, (January 2007). 2007 - Publication
A Framework for Automated Image Annotation Lei Wang, Latifur Khan, and Bhavani Thuraisingham International Journal of Computer Systems Science and Engineering, CRL Publishing LTD, United Kingdom, Vol. 22 No. (1-2), Page 15-24 January-March 2007. 2007 - Publication
Automatic Image Annotation and Retrieval using Weighted Feature Selection Lei Wang and Latifur Khan Multimedia Tools and Applications Journal, Vol. 29, No. 1, Page 55-71, Springer (April 2006). 2007 - Publication
Rapid Goal-Oriented Automated Software Testing using MEA-Graph Planning Manish Gupta, Farokh Bastani, Latifur Khan, and I-Ling Yen Software Quality Journal, Springer, Vol. 15, No. 3, Page 241-263, September, 2007. 2007 - Publication
Hybrid Model for Auto-Detection of New Malicious Executables Mohammad Masud, Latifur Khan and Bhavani Thuraisingham To appear in 2007 IEEE International Conference on Communications (ICC 2007): Communications QoS, Reliability and Performance Modeling Symposium, Glasgo, UK, June 2007. 2007 - Publication
A Framework for a Video Analysis Tool for Suspicious Event Detection Gal Lavee, Bhavani Thuraisingham and Latifur Khan<> Multimedia Tools and Applications Journal, Springer, A Special issue of Multimedia Data Mining, Vol. 35, No. 1, Page 109-123, October 2007. 2007 - Publication
Web Navigation Prediction Using Multiple Evidence Combination and Domain Knowledge Mamoun Awad and Latifur Khan IEEE Transactions on Systems, Man, and Cybernetics, Part A, Vol. 37, No. 6, Page 1054 - 1062 November 2007 . 2007 - 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.”