Research: I am interested in problems from the federated information retrieval domain which deals with the task of ad-hoc document retrieval in an environment with multiple search engines (resources). Currently, I am working on improving techniques for generating 'resource descriptors' which are descriptions of the resources' contents and are essential for the retrieval task. Often resources do not provide direct access to their content and thus generating representative descriptors in such circumstances becomes a challenging task and the focus of my work.
Brief Background: I pursued my Masters in Computer Science at University of Minnesota, Duluth under Dr. Ted Pedersen's guidance. I defended my thesis in July 2006 which is titled as: Unsupervised Context Discrimination and Automatic Cluster Stopping. Some more information about my research in Context Discrimination and Cluster Stopping can be found here. Here is a link to my UMD web-page.
I have previously worked on the REAP project with Jamie Callan and Maxine Eskenazi. The focus of my work was on developing sense-based document selection methods. More specifically, given a word of interest, the goal was to select (or filter out) a document based on the sense of the word that is being used in the document.