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Students Publications
Projects
Affiliations:
Intelligent Information Systems Laboratory
Cyber Security Laboratory
North-East Visualization and
Analytics Center
Institute for CyberScience
Department of Computer Science and Engineering
(Graduate Faculty),
Department of Industrial and Manufacturing
Engineering (Affiliate Faculty),
Education:
Stanford
University: Doctor of
Philosophy in Electrical Engineering,
August 2004.
The
University of Texas at Austin: Master of Science in Computer Science, December,
1994.
Indian
Institute of Technology, Kharagpur: Bachelor of Technology (with Honors) in Computer
Science and Engineering, May, 1993.
Industrial Experience:
Global IDs: Chief Scientist, Member of the
Board of Advisors, 2007 to present.
DBWizards:
Narus:
Oracle Corporation:
Research Interests:
Core Problems: Information Extraction, Information Integration
General Areas: Database Systems, Digital Libraries, Visual
Analytics, Data Mining, Semantic Web, Information Retrieval.
My primary research focus is on issues related to information extraction from
documents especially documents retrieved from the World-Wide-Web. Apart
from extracting information from the web, we have started looking into
extracting information from tables and images automatically. Of special
interest to me is automated geo-spatial information extraction.
Typically, I work with domain scientists, like chemists, archaeologists, and,
geo-scientists, who have various applications for the extracted information.
For a more detailed idea
of my research interests, please refer to my publication list and list of
sponsored projects.
My three major research projects are as follows:
- ChemXSeer (co-PI): In this project, we are investigating
the issues involved in constructing an integrated database and digital
library for chemical kinetics data. We have developed a chemical name and
formula search engine. We are investigating novel information extraction,
document segmentation, and indexing schemes. We have also developed a
table search engine, TableSeer, which uses a
novel ranking function TableRank to rank tables
extracted automatically from digital documents. Experimental data is
often presented using two-dimensional plots in figures in digital
documents. We are aiming at automatically extracting the data from
2-D plots. Other topics of interest are web crawling (especially
focused crawling), query expansion, and analysis of blogs and social
networks.
- NEVAC
(co-PI): I am a co-PI in the North East
Visualization and Analytics Center. The objective is to allow for efficient processing of large text corpora.
We are pursuing research on machine learning algorithms for relationship
extraction between named entities, geographic disambiguation, etc. We have
developed the FactXtractor system that extracts
relationships between entities from text. We have also designed FEMARepViz, which extracts information (like topic)
from daily FEMA situation update reports, performs geographical
disambiguation, and visualizes the extracted information on a map.
- GeoCam
(co-PI): This project aims to extract “accounts of movement”
automatically from text documents, disambiguate descriptions of motion and
combine the extracted information from a geographic information system.
Teaching:
IST 512: Information Processing Technologies and Architectures, Spring 2007,
2008
IST 461: Database Systems Management and Administration, Fall 2006
IST 220: Computer Networks and Telecommunications, Spring 2004-2006, Fall 2007,
2008
IST 402:
Emerging Topics in Database Systems, Fall 2004, 2005