Bi-directional Translation of Relational Data into Virtual RDF Stores Sunitha Ramanujam, Vaibhav Khadilkar, Latifur Khan, Steven Seida, Murat Kantarcioglu, Bhavani Thuraisingham In Proc. of Fourth IEEE International Conference on Semantic Computing (IEEE ICSC2010), September 22-24, 2010, Carnegie Mellon University, Pittsburgh, PA, USA 2010 - Publication
"TWinner: Understanding News Queries With Geo-Content Using Twitter", Satyen Abrol And Latifur Khan, In Proc. of 6th Workshop on Geographic Information Retrieval (GIR'10) at Zurich, Switzerland, February, 2010. 2010 - Publication
Using Correlation Based Subspace Clustering For Multi-label Text Data Classification Mohammad Salim Ahmed, Latifur Khan, Mandava Rajeswari To appear in Proc. of 22th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2010), October 27-29, 2010, Arras, France 2010 - Publication
Classification and Novel Class Detection in Data Streams with Active Mining Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham In Proc of 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 21-24 June, 2010, Page 311-324, - Hyderabad, India. 2010 - Publication
"A Token-Based Access Control System for RDF Data in the Clouds" Arindham Khaled, Mohammad Husain, Latifur R Khan, Kevin Hamlen, Bhavani M. Thuraisingham In Proc. of 2nd IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2010), Indianapolis November -December 2010. 2010 - Publication
Data Intensive Multi-chunk Ensemble Technique to Classify Stream Data Using Map-Reduce Framework Tahseen Al-Khateeb, Mohammad Salim Ahmed, Mohammad Masud and Latifur Khan In Proc. of SIAM Data Mining 2010 Workshop on High Performance Analytics, Algorithms, Implementations, and Applications 2010, Columbus, Ohio, USA. 2010 - Publication
Ontology-driven Query Expansion Methods to Facilitate Federated Queries Neda Alipanah, P. Parveen, Latifur Khan, Bhavani Thuraisingham In Proc. of IEEE International Conference on Service-Oriented Computing and Applications (SOCA'10), Perth, Australia, Dec 2010 2010 - Publication
Tweets mining using WIKIPEDIA and impurity cluster measurement Qing Chen, Timothy Shipper, Latifur Khan In Proc. of IEEE International Conference on Intelligence and Security Informatics, ISI 2010, Vancouver, BC, Canada, May 23-26, 2010, Page: 141-143 2010 - Publication
Addressing Concept-Evolution in Concept-Drifting Data Streams Mohammad Masud, Qing Chen, Latifur Khan, Charu Aggarwal, Jing Gao, Jiawei Han, and Bhavani Thuraisingham, In Proc. of 2010 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia, Dec 2010. 2010 - Publication
Data Intensive Query Processing for Large RDF Graphs Using Cloud Computing Tools Mohammad Husain, Latifur Khan, Bhavani Thuraisingham and Murat Kantarcioglu In Proc of 2010 IEEE 3rd International Conference on Cloud Computing (CLOUD 2010), Page 1-10, Miami, Florida, USA, July 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.”