Dr. Khan is currently an Associate Professor in the Computer Science department at the University of Texas at Dallas where he has taught and conducted research since September 2000. He received his Ph.D. and M.S. degrees in Computer Science from the University of Southern California in August of 2000, and December of 1996 respectively. He obtained his B.Sc. degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh in November of 1993.
Professor Latifur Khan is currently supported by grants from the National Science Foundation (NSF), Nokia Research Center , Alcatel , and the SUN academic equipment grant program . He is one of the principal investigators at the CyberSecurity and Emergency Preparedness Institute at UTD. There he is involved with finding solutions to deal with the rapidly growing Homeland Security problems in cyber crime, information assurance, and emergency preparedness . In addition, Dr. Khan is the director of the state-of-the-art DBL@UTD , UTD Database Laboratory, which is the primary center of research related to data mining and image/video annotation at University of Texas-Dallas.
Dr. Khan's research areas cover data mining, multimedia information management, semantic web and database systems with the primary focus on first three research disciplines. He has served as a committee member in numerous prestigious conferences, symposiums and workshops including the 11th ACM SIGKDD Conference on Knowledge Discovery and Data Mining and 14th ACM International Conference on Information and Knowledge Management (CIKM) . Professor Khan has also chaired and co-chaired several international workshops including ACM 6th International Workshop on Multimedia Data Mining (MDM/KDD2005) . He has co-authored numerous book chapters including the entry in Encyclopedia of Data Warehousing and Mining . Dr. Latifur Khan has published over 75 papers in prestigious journals and conferences. He has been invited to conduct tutorial sessions in prominent conferences ( "Matching Words and Pictures - Problems, Applications, and Progress" ).