Paul B. Kantor is an American information scientist. He is Distinguished Professor Emeritus of Information Science at Rutgers University in New Jersey, and an Honorary Research Associate in Industrial and Systems Engineering at the University of Wisconsin, Madison.
Mr. Kantor was educated in Physics and Mathematics at Columbia University, [1] where he took courses taught by Samuel Eilenberg, Tsung-Dao Lee, Jack Steinberger, Charles Townes, Polykarp Kusch and Melvin Schwartz. He earned a Ph.D. degree in theoretical physics at Princeton University, working with Sam Treiman. He has been a Fulbright Fellow, has received the ASIST Research award, and is a Fellow of the AAAS.
His 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. Since the 9/11 attacks he has worked in several areas related to Homeland and National Security, dealing with optimal detection of threats and allocation of resources. While this research continues, he is currently investigating the relationships between human and machine learning, as a collaborator in several projects. [2] [3]
At Rutgers he was 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, served as Research Director for the CCICADA DHS Center, and a member the Graduate Faculty of the Department of Computer Science.
Since 2015 he is Professor Emeritus (Dist.) at Rutgers, and an Honorary Associate of the Department of Industrial and Systems Engineering at the University of Wisconsin, Madison, [4] where he is involved in research addressing the similarities and differences between human learning and machine learning. .
Paul B. Kantor is an American information scientist. He is Distinguished Professor Emeritus of Information Science at Rutgers University in New Jersey, and an Honorary Research Associate in Industrial and Systems Engineering at the University of Wisconsin, Madison.
Mr. Kantor was educated in Physics and Mathematics at Columbia University, [1] where he took courses taught by Samuel Eilenberg, Tsung-Dao Lee, Jack Steinberger, Charles Townes, Polykarp Kusch and Melvin Schwartz. He earned a Ph.D. degree in theoretical physics at Princeton University, working with Sam Treiman. He has been a Fulbright Fellow, has received the ASIST Research award, and is a Fellow of the AAAS.
His 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. Since the 9/11 attacks he has worked in several areas related to Homeland and National Security, dealing with optimal detection of threats and allocation of resources. While this research continues, he is currently investigating the relationships between human and machine learning, as a collaborator in several projects. [2] [3]
At Rutgers he was 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, served as Research Director for the CCICADA DHS Center, and a member the Graduate Faculty of the Department of Computer Science.
Since 2015 he is Professor Emeritus (Dist.) at Rutgers, and an Honorary Associate of the Department of Industrial and Systems Engineering at the University of Wisconsin, Madison, [4] where he is involved in research addressing the similarities and differences between human learning and machine learning. .