Research Interests
My research deals with high performance data mining and their applications in materials science, healthcare, social media, bioinformatics, etc., with most of the applications research done in collaboration with other researchers in respective fields.

Our ability to collect huge amounts of data (popularly known as big data) in practically all fields has greatly surpassed our analytical capability to make sense of it, underscoring the emergence and popularity of the Fourth paradigm of science, which is data-driven science and discovery. The challenge in big data mining lies not only in the size and scale of the data, but also its complexity – high-dimensional, multi-scale, spatio-temporal, and other types of complex data are becoming more commonplace. Further, different application domains introduce their own challenges and constraints. My research on high performance data mining aims at a coherent integration of high performance computing (HPC) and data mining, so as to address these challenges and enable large-scale data-guided discovery in various application domains.