My general area of research is business analytics based on structured and unstructured data. A key theme in my current work consists of the design of algorithms for extracting relational insights and other patterns from heterogeneous data. A second key theme is the design of systems which improve user access to knowledge, ideas and experts. To these and other ends, I use techniques from machine learning, natural language processing, and expert- and content-recommender systems, as well as domain science from the fields of psychology and sociology. My work in business analytics has resulted in an IBM Corporate Technical award (IBM's top technical award) and an IBM Outstanding Technical Achievement Award.
In the past, I have worked on memory and storage systems, designing new controller and system-level techniques for enhancing reliability and performance for cutting-edge phase-change memory, NAND Flash and DRAM systems. We used ideas from information theory, algebraic and rateless coding theory, and computer architecture. This effort resulted in multiple IBM Research Division Awards and impact on multiple IBM systems product lines.
I have also worked on the use of information and learning-theoretic techniques to drive fundamentally new video compression and communication paradigms. Our research resulted in the creation of standard-compliant (H.264) and distributed source coding video codecs which were state-of-the-art in both industry and academia. This effort resulted in an IBM Outstanding Innovation Award.
I am an IBM Master Inventor, and have more than fifty granted patents and filed patent applications.
I have more than fifty peer-reviewed publications in the above fields. I received my Ph.D. from the University of Illinois, Urbana-Champaign and my B.Tech. from the Indian Institute of Technology, Delhi.