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Dr. Susan Gauch

Professor and Department Head; Rodger S. Kline Chair
Computer Science and Computer Engineering

Office: JBHT 510
Phone: (479) 575-6036
Fax: (479) 575-5339
E-mail: sgauch@uark.edu
WWW: http://www.csce.uark.edu/~sgauch



Education

  • Ph.D. in Computer Science, 1990, University of North Carolina, Chapel Hill
  • Teaching and Research

  • Information Retrieval 
  • Programming Language Paradigms
  • Biographical Information Dr. Gauch's primary research field is Intelligent Information Agents. She received her Ph.D. from University of North Carolina - Chapel Hill in 1990 where she developed an expert search assistant for an online full-text database. While a Senior Research Scientist with the Biological Knowledge Laboratory at Northeastern University, she explored the storage, retrieval, and user interface technologies necessary to present and navigate databases of technical literature. While at the University of Kansas, from 1993-2007, her research encompassed intelligent agents for information discovery and fusion from the World Wide Web (ProFusion), content-based searching of digital video libraries, an National Science Foundation-sponsored project on the application of corpus linguistics to the field of information retrieval, and another National Science Foundation project focusing on the use of ontologies of coordinating distributed information agents. Her work has been presented at numerous conferences and appears in major journals. Four projects (VISION, ProFusion, ProFilter and OBIWAN) have resulted in software licenses to industry from the University of Kansas. She is past Vice-Chair for the ACM Special Interest Group on Information Retrieval and is a reviewer for major funding organizations, conferences, and archival journals. In 2007, Dr. Gauch joined the University of Arkansas to become the Head of Computer Science and Computer Engineering.  One currently funded project is investigating conceptual and personalized information retrieval within the context of the Citeseer archive of computer science literature.  Another NSF project is exploring the use of statistical techniques to semi-automatically create an ontology for amphibian morphology.

    University of Arkansas - College of Engineering - Department of Computer Science & Computer Engineering
    504 J. B. Hunt Building - Fayetteville, AR 72701 - Phone: (479) 575-6197, Fax: (479)-575-5339
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