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

 

 

Summary:

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.