Latifur Khan

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

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

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 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

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

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

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

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]

"Matching Words and Pictures: Problems, Application and Progress"

2006–2006 9th International Conference on Computer and Information Technology (ICCIT), 2006.

Supported by grants by:

National Science Foundation
Nokia Research Center
Alcatel
SUN Academic Equipment Grant Program

Director of:

Database and Data Mining Laboratory

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.

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.”

Computer Science Professors Make UTD History as New IEEE Fellows

Two University of Texas at Dallas computer science professors were elected fellows of the Institute of Electrical and Electronics Engineers (IEEE), the world’s largest professional association for the advancement of technology.

CyberSecurity and Emergency Preparedness Institute

Dr. Latifur Khan, et al.