Latifur Khan

Professor - Computer Science
 
972-883-4137
ECS3228
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

Publications

A Performance Evaluation of Storing XML Data in Relational DBMS Latifur Khan and Yan Rao In Proc. of ACM 3rd International Workshop on WEB Information and Data Management (WIDM), Georgia, November 2001 (2001), Page 31-37. 2001 - Publication
An Adaptive Probe-Based Technique to Optimize Join Queries in Distributed Internet Databases Latifur Khan, Dennis. McLeod, and Cyrus Shahabi International Journal of Database Management, Idea Group Publishing, Hershey, PA, Vol. 12, No. 4, Page 3-14, (October-December 2001). 2001 - Publication
An On-Line Software Repository for Embedded Systems I-Ling Yen, Latifur Khan, Balakrishnan Prabhakaran, Farokh Bastani, and John Linn, In Proc. of The Thirteenth IEEE International Conference on Tools with Artificial Intelligence, Dallas, TX, November 2001 (2001), Page 314-324. 2001 - Publication
Ontology-based Information Selection Latifur Khan Ph.D. Dissertation, Department of Computer Science, University of Southern California, August 2000 (2000). 2000 - Publication
Effective Retrieval of Audio Information from Annotated Text Using Ontologies Latifur Khan and Dennis McLeod In Proc. of ACM SIGKDD Workshop on Multimedia Data Mining, Boston, MA, August 2000 (2000), Page 37-45. 2000 - Publication
Disambiguation of Annotated Text of Audio using Ontologies Latifur Khan and Dennis McLeod In Proc. of ACM SIGKDD Workshop on Text Mining, Boston, MA, August 2000 (2000), Page 99-100. 2000 - Publication
Disambiguation of Annotated Text of Audio using Ontologies Latifur Khan and Dennis McLeod In Proc. of ACM SIGKDD Workshop on Text Mining, Boston, MA, August 2000 (2000), Page 99-100. 2000 - Publication
A Probe-Based Technique to Optimize Join Queries in Distributed Internet Databases Cyrus Shahabi, Latifur Khan, and Dennis. McLeod International Journal of Knowledge and Information Systems (KAIS), Springer-Verlag Publishing, Heidelberg, Germany, Vol. 2, No. 3, Page 372-385, (August 2000). 2000 - Publication
Improving the Performance of Audio-Based Similarity Queries with Clustering Cyrus Shahabi, Mohammad Alshayeji, Ning Jiang, and Latifur Khan In Proc. of ACM First International Workshop on Multimedia Intelligent Storage and Retrieval Management, Orlando, FL, November 1999 (1999). 1999 - Publication
Structuring and Querying Personalized Audio Using Ontologies Latifur Khan In Proc. of ACM Multimedia, Vol. 2, Orlando, FL, November 1999 (1999), Page 209-210. 1999 - Publication

Appointments

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
Lecturer
Bangladesh University of Engineering and Technology [1993–1995]

Projects

"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
Alcatel
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.”

Affiliations

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