I was originally drawn to the discipline of  Statistics by its wide applicability and that is still its principal attraction for me. 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. Presently, I am doing research in data preprocessing techniques such as feature selection, instance selection, handling of missing values, outlier detection, noise reduction, and visualization. I am also interesed on multirelational data mining and webmining. A third area of interest is application of parallel computation to knowledge discovery in very large datasets.
My research is supported  by the Office of  Naval Research (ONR) GRANT #N00014-00-1-0360 from January, 2003 until October 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).