333 Ravenswood Avenue
Menlo Park CA 94025-3493
Phone: (650) 859-4871
Fax: (650) 859-3735
Home Page: https://sites.google.com/site/rameshnallapati/
Alumnus of the Artificial Intelligence Center
My research interests are in Machine Learning and its applications to Text Mining and Information Retrieval. Prior to SRI, I was a research associate at Stanford University from 2008-2011, and a Researcher at Lex Machina, a Stanford spinoff from 2009-2011. I got my Ph.D. in CS from University of Massachusetts in 2006, and did my post doctoral work at Carnegie Mellon University from 2006 to 2008. I am currently working on the IARPA-ALADDIN project that aims at detecting pre-specified events in video data. For more information about my background and research, please visit my home page listed above.
IARPAs Foresight and Understanding from Scientific Exposition (FUSE) Program seeks to develop automated methods that aid in the systematic, continuous, and comprehensive assessment of technical emergence using publicly available information found in published scientific, technical and patent literature. SRIs team uses a theory-directed extension of best-of-breed language and network modeling techniques to produce the Copernicus system. SRIs CSTED leads the theory of emergence task.
The following are in reverse chronological order of publication.
Murat Akbacak, Robert C. Bolles, Brian J. Burns, Mark Eliot, Aaron Heller, James A. Herson, Gregory K. Myers, Ramesh Nallapati, Stephanie Pancoast, Julien van Hout, Eric Yeh, Amirhossein Habibian, Dennis C. Koelma, Zhenyang Li, Masoud Mazloom, Silvia-Laura Pintea, Koen E. A. van de Sande, Arnold W. M. Smeulders, Cees G. M. Snoek, Sung Chun Lee, Ram Nevatia, Pramod Sharma, Chen Sun, and Remi Trichet. The 2012 SESAME Multimedia Event Detection (MED) and Multimedia Event Recounting (MER) Systems. Proceedings of the 10th TRECVID Workshop, 2012. [Details]