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Dynamic Data Analytics (CDDA)

Rutgers University

SUNY Stony Brook

Last Reviewed: (not done)

The CDDA is a multi-institution consortium. Our mission is to turn chaos into knowledge and to unleash the transformative potential of big data in a wide range of application domains.

Center Mission and Rationale

The mission of the CDDA is to conduct integrative, multi-disciplinary, transformative research and development, at the pre-competitive stage, that will (i) analyze and visualize massive, complex, multi-dimensional and multi-scale dynamic data to transform chaos into knowledge, and (ii) be applicable to many industrial sectors, such as health care, security, search, and entertainment.  

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 is 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. 

In order to implement our vision, the primary goal of the Center is to create a partnership between academia and industry to address CDDA relevant and important open problems. More specifically to:

 

  • Continuously evolve an understanding of the technological needs of the public sector through direct contact with industry professionals and through the use of field data.

 

  • Identify basic research themes that have a clear relationship with industry and the needs of the public sector.

 

  • Educate public sector science and technology decision makers about the emerging importance of Dynamic Data Analytics (DDA) so that the United States is able to leverage its intellectual capital, remain competitive, improve the quality of life and effectiveness of security for the national population.

 

  • Produce highly trained graduate students with advanced coursework in the pertinent technologies and hands-on exposure to DDA systems.

 

Research program

Data Mining and Decision Making (DM-DDA)

Large and dynamic databases, business mining applications; Multi-sensor and distributed systems, social networks and complex environment; Efficient and scalable search, search on dynamic data, distributed and multi-sensor based search

Graphics and Visualization (GV-DDA)

Modeling and analysis of images and video data. Large scale dynamic data, simulation and display of large dynamic data

Medical (M-DDA)

Medical imaging, visualization, robotics, medical image acquisition, processing and analysis; computer-aided technology for assessment, diagnosis, guidance and prediction of outcome,  patient-specific modeling; medical imaging patient records, multi-scale patient monitoring, patient alert systems, technology for assisted living, preclinical/clinical trials, behavior analysis of impaired populations.

Security (S-DDA)

Airport and port security analytics, sensor networks, driver safety, deception recognition, hot spot analysis, crowd analysis, human intent recognition, cultural studies and synchrony in communication.

Special Activities

NSF I/UCRC Center for Dynamic Data Analytics (CDDA) IAB Meeting

May 7, 2014 12:00 PM to 
May 8, 2014 5:00 PM
The State University of New York at Stony Brook – Stony Brook, NY

This is a bi-annual meeting of the industry advisory board and center members to assess ongoing research and set priorities for new research directions. Visitors interested in membership are welcome if they are willing to sign a non-disclosure agreement.

Meeting Type
Partnership Meeting

Contacts
James Mielke, CDDA Managing Director, james.mielke@rutgers.edu

Rong Zhao, CDDA Stony Brook Deputy Director, rong.zhao@stonybrook.edu

NSF Related Organizations
Industrial Innovation and Partnerships 

Locations

Rutgers University

617 Bowser Rd

Piscataway, New Jersey, 08854

United States

SUNY Stony Brook

CEWIT Building, 1500 Stony Brook Road

Stony Brook, New York, 11794-6040

United States

(631) 632-6000