Optmized ontology-driven query expansion using map-reduce framework to facilitate federated queries Neda Alipanah, Latifur Khan, Bjavani Thurisingham Comput. Syst. Sci. Eng. 27(2): (2012) 2012 - Publication
Multimodal concept fusion using semantic closeness for image concept disambiguation. Multimedia Tools Appl Ahmad Adel Abu Shareha, Mandava Rajeswari, Latifur Khan, Dhanesh Ramachandram. 61(1): 69-86 (2012) 2012 - Publication
Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham, IEEE Transactions on Knowledge & Data Engineering (TKDE), June 2011, IEEE Computer Society, (Full Paper). 2011 - Publication
Heuristics Based Query Processing for Large RDF Graphs Using Cloud Computing Mohammad Husain, Mohammad Mehedy Masud, James McGlothlin, and Latifur Khan IEEE Transactions on Knowledge & Data Engineering (TKDE), 2011, IEEE Computer Society, September 2011, Vol. 23, No. 9, Page 1312-1327. (Full paper). (Impact Factor: 2.285) 2011 - Publication
Geographically-Typed Semantic Schema Matching Jeffrey Partyka, P. Parveen, Latifur Khan, Bhavani Thuraisingham, Shashi Shekhar Web Semantics Journal: Science, Services and Agents on the World Wide Web, Elsevier, Vol. 9, No 1, March 2011, Pages 52-70. (Full paper) (Impact Factor is 3.412). 2011 - Publication
Geospatial Resource Description Framework (GRDF) and security constructs Ashraful Alam, Latifur Khan, Bhavani Thuraisingham Computer Standards & Interfaces Vol. 33, No. 1, Page: 35-41 (2011). (Full paper) (Impact Factor: 1.373) 2011 - Publication
Multimodal concept fusion using semantic closeness for image concept disambiguation Ahmad Adel Abu-Shareha, Rajeswari Mandava, Latifur Khan and Dhanesh Ramachandram Multimedia Tools and Applications Journal, Springer, January, 2011. (Full paper) (Impact Factor is 0.626) 2011 - Publication
Ontology based policy interoperability in geo-spatial domain Mohammad Farhan Husain, Tahseen Al-Khateeb, Mohmmad Alam, Latifur Khan Computer Standards & Interfaces Vol. 33, No. 1, Page: 214-219 (2011). (Full paper) (Impact Factor: 1.373) 2011 - Publication
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham In Proc. of European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Springer 2010, ISBN 978-3-642-15882-7, Page: 337-352 2010 - Publication
Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering Mohammad Salim Ahmed, Latifur Khan, Nikunj Oza, Mandava Rajeswari In Proc. of NASA Conference on Intelligent Data Understanding (CIDU 2010), Computer History Museum, Mountain View, CA, October 5th - 6th, 2010 2010 - 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.”