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Stony Brook and Rutgers Partner in Research Center

Cdda team 1
CDDA team
From left: Klaus Mueller, Associate Professor of Computer Science; IV Ramakrishnan, Professor of Computer Science; Erez Zadok, Associate Professor of Computer Science; Arie Kaufman, Distinguished Professor and Chair of Computer Science and Chief Scientist of CEWIT; Rong Zhao, Director of the Software Division at CEWIT; Lori Scarlatos, Associate Professor of Technology and Society

The National Science Foundation has designated the Center for Dynamic Data Analytics (CDDA)—a partnership between Stony Brook University and Rutgers University—as a new Industry/University Cooperative Research Center (I/UCRC). The CDDA, based at Stony Brook’s Center of Excellence in Wireless and Information Technology (CEWIT) will have a base budget exceeding $2M over the initial five-year period. It will unite academics and industry in an effort to improve IT technology and its relevance in the business world. The focus will be on innovative research and applications in the emerging field of dynamic data analysis based on collaborative efforts between the two universities and member companies.

The Stony Brook CDDA’s corporate partners include CA Technologies, Northrop Grumman Corporation, SAP, Siemens, VJ Technologies, Softheon, Future Tech, Intrigma, DrChrono, Reveal Analytics, and General Sentiment. Additional businesses in the process of joining include IBM, Verizon, JP Morgan, Applied Vision, FalconStor, Fatwire, Language Mate, XSB, and Adobe.

“Our mission is to advance our knowledge on how to analyze and visualize massive, complex, multi-dimensional and multi-scale dynamic data,” explains Principal Investigator Arie E. Kaufman, Distinguished Professor and Chair of Computer Science and Chief Scientist at CEWIT. “The end result will be novel science, algorithms, systems, and applications that transform chaos (due to the size of the data) into knowledge.”

“CA Technologies is an IT management software and solutions company with expertise across all IT environments—from mainframe and physical, to virtual and cloud,” says Russ Artzt Vice Chair of CA Technologies, who serves as Chair of theCEWIT Advisory Board. “CA manages and secures IT environments and enables customers to deliver more flexible IT services [and] as such CA is interested in dynamic and large data analytics and specifically interested in collaborating with the Stony Brook CEWIT on data experimental and analytics. The CDDA and associated NSF funding will perfectly complement these activities.”

The team of researchers from Stony Brook and Rutgers are experts in data analysis and visualization and have a long history of collaboration, while the corporate partners are leaders in their respective fields. “The Center will close the essential loop between science and applications that is equally lacking between computer science research and IT development,” notes Kaufman. “The algorithm and system design will be tested, validated, and improved based on the close collaboration and research between the two universities and industry. This cycle of design, testing, and improvement can only be accomplished through a close university-Industry collaboration and is especially significant in this situation because of the complexity of the data and the absence of relevant algorithms and systems.”

In addition to advancing the science of dynamic data analytics, the CDDA will also accelerate its transfer to industry by working closely with its business partners in the definition and prioritization of projects to be pursued by the Center and will seek involvement from world renowned faculty and excellent students.

The specific topics to be addressed by the Center are an emerging class of problems that are becoming increasingly important in many scientific and industrial areas, including computer science (e.g. cloud computing), biology, security, linguistics, and the environmental sciences—all of which are confronted with analytics of massive and dynamic data. Ultimately, this endeavor will lead to new product development by the industrial partners in the area of dynamic data analytics.

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