Professor Sumeet Dua

Sumeet Dua, B.E., M.S., Ph.D. is a recognized computer scientist specializing in the design of data mining technologies and bioinformatics algorithms. He specializes in the design of algorithms for analysis of microarray gene expression and protein sequence/structure data to help fuel physiological information discovery.
 
With more than ten years of experience, Sumeet brings unique multidisciplinary expertise and insight. He has taken leadership roles in several large-scale IT projects and is frequently invited to give talks about data mining, bioinformatics, and clinical informatics, and to serve on national scientific review panels.
 
Sumeet is currently the Upchurch Endowed Associate Professor of Computer Science and Coordinator of IT Research at Louisiana Tech University, Ruston, LA, USA. He is also an adjunct faculty at the School of Medicine, Louisiana State University Health Sciences Center, New Orleans.
 
The National Science Foundation (NSF), the National Institutes of Health (NIH), the Air Force Research Laboratory (AFRL) and the Louisiana Board of Regents (LA-BoR) have funded more than $2.4 million of his research in the past 5 years. He is also an active participant in several federal projects, which amount to funding of more than $20 million. He frequently serves as a Study Section Member of the Special Emphasis Panel at the NIH, and as a panelist for the NSF. He is frequently invited to give talks at leading academic institutions, conferences, and industrial centers at national and international venues. He also serves on the LA-BoR Speaking of Science Speakers’ Bureau.
 
Sumeet has received numerous awards including the Engineering and Science Foundation Award for Faculty Excellence awarded in 2006 and the Faculty Research Recognition Award presented in 2007, and was granted early tenure and promotion in 2007 at Louisiana Tech University. He has advised more than 22 graduate students who have found positions in leading industrial and academic institutions, including IBM, Oracle, and Philips Research.
 
His areas of expertise include database mining, pattern recognition, data warehousing, clinical informatics, and bioinformatics, and he has authored several publications in these areas. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a senior member of the Association for Computing Machinery (ACM), a regular member of Society of Photo-Optical Instrumentation Engineers (SPIE), the International Society for Computational Biology (ISCB), and the American Association for Advancement of Science (AAAS).
 
Sumeet coauthored A Robust Grouping Algorithm For Clustering of Similar Protein Folding Units, A Novel Computational Framework for Structural Classification of Proteins using Local Geometric Parameter Matching, Classification of Heart Rate Data Using Artificial Neural Network and Fuzzy Equivalence Relation, Discovery of Web Frequent Patterns and User Characteristics from Web Access Logs: A Framework for Dynamic Web Personalization, Evidence Combination for Traffic Adaptive Routing, and Dihedral angle based dimensionality reduction for protein structural comparison.
 
Sumeet earned his B.E. at Thapar Institute of Engineering and Technology, India in 1997, his M.S. in Systems Science from Louisiana State University, Baton Rouge in 2000, and his Ph.D. in Computer Science from Louisiana State University, Baton Rouge in 2001.