**Mission**

The Center for Applied Mathematics and Statistics (CAMS) is an interdisciplinary research center dedicated to supporting applied research in the mathematical sciences at NJIT. CAMS was established in 1986 to promote research in the mathematical sciences at the New Jersey Institute of Technology. Members of the Department of Mathematical Sciences naturally form the core of CAMS membership, but the importance of mathematics for science and technology has made CAMS an interdisciplinary organization.

CAMS brings researchers from academia, industry, and government to NJIT by organizing interdisciplinary workshops and by bringing together researchers with common goals whose strengths are complementary. CAMS activities also include support for the submission of research proposals, which is done through dissemination of information, organization of group projects, collegial advice and assistance with application documents. Graduate student research is encouraged through the CAMS Summer Research Program and support for students to attend conferences. CAMS sponsors an annual conference, “Frontiers in Applied and Computational Mathematics,” which has become a leading forum for the presentation of new research in applied mathematics and the sciences. In the future, CAMS hopes and expects to maintain its high standards of professionalism and scholarship and plans to extend its activities to include fostering more research by undergraduate students and developing long-term relationships with industry.

**Main Research Areas**

CAMS members conduct research in a broad range of areas of applied mathematics, using, in particular, the techniques of scientific computation/numerical analysis, applied analysis and analysis of PDEs, mathematical modeling and asymptotics, dynamical systems theory, and statistics. The focus of CAMS research is roughly divided into five application areas (with significant overlap):

- Mathematical Biology
- Fluid Dynamics
- Wave Propagation
- Materials Science
- Optimization
- Statistics and Data Science