The Center for Dynamic Data Analytics
A National Science Foundation
Industry/University Cooperative Research Center (I/UCRC) since 2011
State University of New York, Stony Brook
Principal Investigator: Dimitris Metaxas, Rutgers University
Co-Principal Investigator: Arie Kaufman, SUNY Stony Brook
Rutgers Deputy Director: James Mielke
Rutgers Co-Deputy Director: Celina Imielinska
The Center for Dynamic Data Analytics (CDDA) is a National Science Foundation (NSF) sponsored Industry and University Cooperative Research Program (I/UCRC) established between Rutgers University (PI Institution) and the State University of New York (SUNY), Stony Brook.
The motivation for this center is the lack of scalable algorithms, methods and solutions for addressing the ever increasing amounts of data that industry uses. The focus is on data that are massive, dynamic, complex and multidimensional. The goal of the center is to discover, develop and apply data analytics solutions to industry problems involving such data so that the current data chaos is transformed into knowledge and industry products.
The Center will provide an interface between industry and university to cooperatively discover and solve CDDA solutions. The Center’s research will most closely align to the industries of healthcare, finance, security/defense, data mining, social networks and entertainment. Funding for the Center will be provided by industrial memberships and the NSF. The legitimacy of the center is further defined by the multibillion dollar current and future capacities of the target industries. The Center intends to grow its membership and research capacity proportionately and establish itself as the leading resource for Dynamic Data Analytics solutions.