The Center for Dynamic Data Analytics

A National Science Foundation

Industry/University Cooperative Research Center (I/UCRC) since 2011

Lead Institution: 

Rutgers University 


Partner Institution:

State University of New York, Stony Brook



Leadership Team:


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

SUNY Deputy Director: Rong Zhao




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.