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Research Centers

From chaos to knowledge We analyze and visualize massive, complex, multi-dimensional and multi-scale dynamic data.  The Center for Accelerated Real Time Analytics (CARTA) is a National Science Foundation (NSF) sponsored Industry/University Cooperative Research Center (I/UCRC) established between Rutgers University and the State University of New York (SUNY), Stony Brook.

Perceptual technologies range from automated systems that recognize faces, voices or 3D scenes, to dynamic multimodal interfaces and realistic virtual environments. As Perceptual Scientists, we recognize the need to develop comprehensive perceptual models, applicable to humans and implemented in machines.

The IGERT in Perceptual Science integrates research projects in more than 18 different laboratories. IGERT students learn to use a broad array of approaches, skills, and methods to achieve a better understanding of human perception and perceptual models, and to design innovative perceptual technologies that address significant human needs.

The members of CQB are:

Note: the Graduate Program in BioMaPS, or "Ph.D. in Computational Biology and Molecular Biophysics", is also changing its name. 
It will now be the Graduate Program in Quantitative Biomedicine
part of the Institute for Quantitative Biomedicine at Rutgers (IQB@R)

The Rutgers Center for Operations Research(RUTCOR) is focused on the development of Operations Research theory and applications through scientific study and collaboration with government and industry. We develop advanced analytical methods for the optimization of complex systems to guide decision making in a wide variety of disciplines.

RUTCOR was established in 1983 to coordinate the Operations Research activities which had been going on in many parts of the university and to act as a focal point for the development of Operations Research in the state of New Jersey. In addition to running the doctoral program in O.R., RUTCOR sponsors interdisciplinary research projects, facilitates research contacts between university and industry, runs conferences on current areas of interest in O.R., sponsors colloquia, puts out several international scientific journals and an international technical report series, and hosts distinguished long and short-term visiting scholars from around the world.

A primary goal of the Center is to foster research concerned with the nature of certain symbolic processes that are constitutive of intelligent performance. The approach in cognitive science, in contrast with the approach taken by other investigators interested in similar issues, is essentially computational. The goal is to understand such aspects of intelligent performance as perception, language processing, planning, problem solving, reasoning, and learning, in terms of the computational processes that underwrite these skills, as well as the computational mechanisms (be they silicon hardware, or neural tissue) that may instantiate them. The pursuit is essentially multi-disciplinary and involves techniques and knowledge drawn from experimental psychology, computer science, neuroscience, philosophy, linguistics, mathematics, and engineering.

The overarching goal of the Rutgers Discovery Informatics Institute (RDI2), New Jersey’s Center for Advanced Computation, is to establish a comprehensive and internationally competitive Computational and Data-Enabled Science and Engineering (CDS&E) effort at Rutgers University that can nurture the fundamental integration of research, education, and infrastructure. This integration will stimulate new thinking and new practices in CDS&E that will be catalyzed by cyberinfrastructure advances. Collectively, these efforts will address today’s grand challenges in science, engineering, and industry.

DIMACS is the Center for Discrete Mathematics and Theoretical Computer Science. It was founded in 1989 as an NSF funded Science and Technology Center (STC) and one of the New Jersey Commission on Science and Technology's Advanced Technology Centers. DIMACS facilitates research, education, and outreach in discrete mathematics, computer science theory, algorithms, mathematical and statistical methods, and their applications. Our multi-year special focus programs address research themes that require topical expertise in these areas, have potential for societal impact, and are poised for advance. Our educational programs include materials development for high school and college classsrooms, an extensive summer undergraduate research program, and teacher training programs.

The Center for Computational Biomedicine Imaging and Modeling (CBIM) was founded by Professor Dimitris Metaxas in 2001 to serve as an environment for conducting novel research in the areas of Computational Biomedicine, Computer Vision, Computer Graphics, Scientific Computations, Learning and Robotics. CBIM has 10 faculty members and around 30 graduate students. It is located in a space comprising of almost 11,000 square feet which includes a separate space for human motion capture experiments. Funding for CBIM is provided by all major Government agencies such as NIH, NASA, NSF, ARO, ONR and AFOSR. CBIM has several collaborative projects with research and faculty from other major Universities and research labs such as Boston Univ. UPENN, Columbia, NYU Medical School, MIT, Stanford, Brookhaven National Laboratory, Siemens Healthcare and Adobe Systems.