Susan Dumais
Microsoft Research
One Microsoft Way
Redmond, WA 98052-6399

• Bates College -- B.A., Mathematics and Psychology
• Indiana University -- Ph.D., Experimental Psychology

• 1979-1984 Member of Technical Staff, Bell Laboratories
• 1984-1997 Member of Technical Staff and Director, Bellcore
• Visiting Professor, University of Chicago
• Visiting Professor, New York University
• 1997-present Senior Researcher, Microsoft Research

• National Research Council (NRC) Committee on Computing & Communications Research to Enable Better Use of Information Technology in Government “Digital Government” (Oct 1998 - May 2000).
• Editorial Boards: Human-Computer Interaction;, Information Retrieval; New Review of Hypermedia and Multimedia
• Associate Editor: Handbook of Applied Cognition
• Program Committees: CHI’99 (including Panels Co-Chair’99; Workshops and SIGs Co-Chair’98; Papers Co-Chair’94), SIGIR’99 (including Tutorials and Panels Chair’99 and ’97), WWW8, KDD’99, Statistics&AI’99,AAAI’98, Coling’98, InfoVis’98, TREC1-8

Dumais, S., Heckerman, D., Platt, J. and Sahami, M. Inductive learning algorithms and representations for text categorization. Proceedings of ACM-CIKM98, Nov. 1998.

Michael D. Gordon, Susan T. Dumais. Using Latent Semantic Indexing for Literature Based Discovery. JASIS, 49(8), 674-685, 1998.

Berry, M. W., Dumais, S. T. and O'Brien, G.W. Using linear algebra for intelligent information retrieval. SIAM: Review, 37(4), 1995, 573-595.

Kraut, R., Dumais, S. T., and Koch, S. Computerization, productivity, and quality of work-life. Communication of the ACM, 1989, 32(2), 220-238.

Dumais, S. T. Information Retrieval: Finding needles in massive haystacks. In J. Kettenring and D. Pregibon (Eds.), Proceedings of the Massive Data Sets Workshop. National Academy Press, 1996, 23-31.

Dumais, S. T., Textual information retrieval. In: M. Helander (Ed.), Handbook of Human-Computer Interaction, Elsevier Science Publishers (North-Holland), 1988, pp. 673-700.

Czerwinski, M., Dumais, S., Robertson, G., Dziadosz, S., Tiernan, S., van Dantzich, M. Visualizing implict queries for information management and retrieval. Proceedings of CHI’99.

Littman, M.L., Dumais, S.T., and Landauer,T.K. Automatic Cross-Language Information Retrieval Using Latent Semantic Indexing. In G. Grefenstette (Ed.), Cross Language Information Retrieval, Kluwer Academic Publishers, 1998, 51-62.

Landauer, T. K. and Dumais, S. T. A solution to Plato's problem: The Latent Semantic Analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 1997, 104(2), 211-240.

Caid, W. R., Dumais, S. T. and Gallant, S. I. Learned vector space models for information retrieval. Information Processing and Management, 1995, 31(3), 419-429.

Dumais, S. T. Improving the retrieval of information from external sources. Behavior Research Methods, Instruments and Computers, 1991, 23(2), 229-236.

Deerwester, S., Dumais, S. T., Landauer, T. K., Furnas, G. W. and Harshman, R. A. Indexing by latent semantic analysis. Journal of the Society for Information Science, 1990, 41(6), 391-407.

Foltz, P. W. and Dumais, S. T. Personalized information delivery: An analysis of information filtering methods. Communications of the ACM, 35(12), December 1992, 51- 60.

Eric Horvitz, David Heckerman, John Platt, Mary Czerwinski, George Robertson, Microsoft Research; Merhan Sahami, Stanford University; George Furnas and Michael Gordon, University of Michigan; Thomas Landauer, University of Colorado;Michael Littman, Duke University; Michael Berry, Gavin O’Brien and Todd Letsche, University of Tennessee

None

Richard Shiffrin, Luther Dana Waterman Research Professor of Psychology and Director of Cognitive Science, Indiana University