Latifur Khan

Professor - Computer Science
Faculty Homepage
Tags: Computer Science Electrical Engineering Computer Engineering

Professional Preparation

Ph.D. - Computer Science
University of Southern California - 2000
M.S. - Computer Science
University of Southern California - 1996
B.S. - Computer Science and Engineering
Bangladesh University of Engineering and Technology - 1993

Research Areas

Research Interests
  • Data mining
  • Multimedia information management
  • Semantic web
  • Database systems
  • Intrusion detection


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


Associate Professor
The University of Texas at Dallas [2006–Present]
Assistant Professor
The University of Texas at Dallas [2000–2006]
Graduate Research Assistant
The University of Southern California [1997–2000]
Integrated Media Center
Graduate Research Assistant
The University of Southern California [1995–1997]
Information Sciences Institute
Bangladesh University of Engineering and Technology [1993–1995]


"Matching Words and Pictures: Problems, Application and Progress"
2006–2006 9th International Conference on Computer and Information Technology (ICCIT), 2006.

Additional Information

Honors and Awards
  • Event Cube: An Organized Approach for Mining and Understanding Anomalous Aviation Events, NASA, Latifur Khan (PI), Vincent Ng, and Bhavani Thuraisingham, Jan 2008- Dec 2008, $180,000
  • Prototype Geospatial Data Integration Framework for Police Blotter Crime Analysis, Raytheon, Latifur Khan (PI), and Bhavani Thuraisingham, July 2007 to December 2007, $100,000.
  • CT-T: COLLABORATIVE RESEARCH: A Semantic Framework for Policy Specification and Enforcement in a Need to Share Environment , National Science Foundation, Bhavani Thuraisingham(PI) and Latifur Khan, September 2007 -- August 2008, $50,000
  • Spatio-Temporal Pattern Mining for Multi-Jurisdiction Multi-Temporal Activity Datasets, 2007 NGA University Research Initiatives (NURI), Bhavani Thuraisingham(PI) and Latifur Khan, September 2007 -- August 2009, $100,000
  • Data and Applications Security: Research Directions and Opportunities, National Science Foundation (NSF), Bhavani Thuraisingham (PI)  and Latifur Khan, September 2007 -- August 2008, $49,999.
  • Information Operations Across Infospheres, Bhavani Thuraisingham(PI), Ravi Sandhu and Latifur Khan, Air Force Office of Scientific Research, January, 2006 to December, 2008, $300,006.
  • Design and Development of Semantic Web and Data Mining Technologies for Geospatial Data Bhavani Thuraisingham(PI) and Latifur Khan,  Raytheon, 200,000$, June, 2006 to June, 2008.
  • A Distributed Component Repository for Rapid Synthesis of Adaptive Real-Time Systems, Farokh Bastani, Latifur Khan, Edwin Sha and I-Ling Yen (PI), National Science Foundation, Sept, 2001 - Aug, 2004, $499,866.
  • Feature Extraction for Finding Images/Video, Latifur Khan(PI), Nokia Research Center, Irving, Texas, June, 2005 to November, 2005, $30,000.
  • Ontology-based Information Selection and Storing XML data into Databases, Latifur Khan (PI), SUN Academic Equipment Grant Program, August, 2002, $87,265.
Supported by grants by:
National Science Foundation
Nokia Research Center
SUN Academic Equipment Grant Program

Director of:
Database and Data Mining Laboratory

News Articles

UT Dallas Researchers to Play Key Role in $7.5 Million Department of Defense MURI Project
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.” 
Smarter Searches: Technology Merges Images, Data and Knowledge
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.
Old Mobile Phone Technology May Help Curb Traffic Deaths in Nigeria
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.”


CyberSecurity and Emergency Preparedness Institute
Dr. Latifur Khan, et al.