Gedas Adomavicius

Gedas Adomavicius is a Professor at the University of Minnesota’s Carlson School of Management, holding the Larson Endowed Chair for Excellence in Business Education. He obtained his PhD in Computer Science from New York University (2002), with prior degrees in Mathematics (BS/MS, Vilnius University, 1995) and Computer Science (MS, NYU, 1998).

• Research Focus: Personalization technologies, recommender systems, and machine learning for decision-making in information-intensive environments.
• Key Contributions: Pioneered techniques for improving recommendation stability, reducing biases, and integrating contextual information into recommendation algorithms.
• Grants & Recognition: Recipient of the U.S. National Science Foundation CAREER award, INFORMS Information Systems Society Distinguished Fellow Award, and Association for Information Systems Fellow Award.

Publications: His work spans leading journals across computer science, information systems, and biomedical informatics. Key trends include advancements in recommender systems (context-aware, multi-stakeholder, and bias-aware models), machine learning for health analytics, and e-market mechanism design. He has over 33,000 citations according to Google Scholar.

Education:

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

Awards & Grants:

• INFORMS Information Systems Society Distinguished Fellow Award
• Association for Information Systems Fellow Award
• National Science Foundation CAREER award

Academic Leadership: Served as Senior Editor for Information Systems Research and MIS Quarterly, and as department chair and academic director of the MSBA program at the Carlson School.