Nicholas Belkin

Nicholas Belkin was PI on an NSF project and has led groups participating in the TREC Interactive and HARD tracks from 1994 through 2005. His recent research has focused on personalization, in particular on the interactions between evidence of interest such as dwell time, and other evidence such as task type, stage in task completion, and knowledge of topic. He has significant experience in conducting user studies in IR environments.Faculty web page.
Endre Boros

My research interest ranges from discrete optimization (in particular integer programming, unconstrained binary optimization and their applications in VLSI design, reliability theory and systems diagnosis), through the theory of Boolean functions (in particular Horn functions, partially defined Boolean functions, dualization and their applications in data analysis and learning theory) to combinatorics (in particular graph theory, finite geometries and transversals of hypergraphs). Faculty web page.
Jacek Gwizdka

Jacek Gwizdka's research is based in human-computer interaction, with a special focus on personalization in the context of personal information management. He has conducted several studies on the relationships between various cognitive characteristics and interaction preferences. Faculty web page.
Paul B. Kantor

Paul Kantor's research centers on the role of information systems for storage and retrieval in a wide range of applications, with particular emphasis on rigorous evaluation of the effectiveness of such systems. At Rutgers he is a member of the Department of Library and Information Science, the Center for Operations Research (RUTCOR) , the Center for Discrete Mathematics and Computer Sciences (DIMACS) and an Associate member of the Department of Computer Science. He is a member of the American Society for Information Science and Technology (ASIST), the American Association for the Advancement of Science (AAAS), the IEEE, the American Physical Society, and the American Statistical Association. His research has been supported by such agencies as the NSF, DARPA, ARDA and the US Department of Education. He was educated in Physics and Mathematics at Columbia and Princeton, has received the ASIST Research award, and is a Fellow of the AAAS. Biographical listings: Who's Who in America; Who's Who in the World.Faculty web page.
Nina Wacholder

Xiangmin Zhang

Xiangmin Zhang studies user modeling for IR, with particular emphasis on eliciting or otherwise gathering and representing evidence about a person's domain knowledge, for the purpose of personalizing retrieval and ranking of information objects. He has special experience in evaluating digital library interfaces. Faculty web page.