Gedas Adomavicius headshot

Gedas Adomavicius

Professor, Larson Endowed Chair for Excellence in Business Education
CSOM Information/Decision Sciences

Contact

  3-320 Carlson School of Management

Education:

  • Diploma (BS/MS) 1995
    Mathematics Vilnius University
  • MS 1998
    Computer Science New York University
  • PhD 2002
    Computer Science New York University

Expertise:

  • Electronic Market Mechanisms
  • Data Mining and Knowledge Discovery
  • Personalization Technologies and Recommender Systems

Biography

Gedas Adomavicius is a professor in the Department of Information and Decision Sciences at the Carlson School of Management, University of Minnesota, where he also holds the Larson Endowed Chair for Excellence in Business Education.  He received his PhD degree in computer science from New York University.  His general research interests revolve around computational techniques for aiding decision-making in information-intensive environments and include personalization technologies and recommender systems, machine learning and data analytics, and electronic market mechanisms.  His research has been published in a number of leading academic journals in information systems and computer science, including Information Systems Research, MIS Quarterly, Management Science, Journal of Operations Management, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, and Data Mining and Knowledge Discovery, and has been cited more than 34,000 times to date (according to Google Scholar).  He has received several research grants from major funding institutions, including the U.S. National Science Foundation CAREER award for his research on personalization technologies.  He has served on the editorial boards of several leading academic journals, including as Senior Editor for Information Systems Research and MIS Quarterly.  For his contributions, Prof. Adomavicius has been recognized with the INFORMS Information Systems Society’s Distinguished Fellow Award and Association for Information Systems Fellow Award.  At the Carlson School of Management, he has taught analytics-related courses in the undergraduate, MBA, MSBA, PhD, and Executive Education programs and has served in several administrative roles, including as the chair of the Information and Decision Sciences Department as well as the co-founder and inaugural academic director of the MSBA program.

Selected Works & Activities

  • Current Research
    • Multidimensional recommender systems
    • Techniques for customer modeling
    • Real-time bidder support in complex auction mechanisms
    • Expert-driven validation of data mining results
    • Personalization process and user acceptance of personalization technologies
    • Ecosystem models of technology evolution

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