I was originally drawn to the discipline of  Statistics by its wide applicability. I consider Statistics as a part of Information Science. I have done research in robust statistical procedures, saddlepoint approximation for densities, modality of gaussian mixtures, and ensembles of nomparametric classifiers. Since 2002, I am doing research in data mining, particularly in data preprocessing techniques such as feature selection, instance selection, handling of missing values, outlier detection, noise reduction, and visualization. I am also interesed in algorithms for data streams and functional data analysis. A third area of interest is application of distributed and parallel computation to knowledge discovery in massive datasets through the use of Hadoop and Mapreduce.
My research was supported  by the Office of  Naval Research (ONR) GRANT #N00014-00-1-0360 from January, 2003 until December 30, 2008. In 2006, I was awarded with a DURIP grant from the Department of Defense to acquire a cluster of 64 processors based on 64 bit architecture.

MY RESEARCH GROUP IN COMPUTATIONAL AND STATISTICAL LEARNING FOR KNOWLEDGE DISCOVERY(CASTLE).