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Ronald Coifman is a Sterling Professor of Electrical and Computer Engineering at Yale University, with additional appointments in Applied and Computational Mathematics, Computer Science, and Mathematics. He earned his Ph.D. from the University of Geneva. Coifman's research interests encompass nonlinear Fourier analysis, wavelet theory, singular integrals, numerical analysis, scattering theory, and real complex analysis. He is focused on developing new mathematical tools for efficient computation and transcriptions of physical data, with applications in numerical analysis, feature extraction, recognition, and denoising. Currently, he is working on analysis tools for spectrometric diagnostics and hyperspectral imaging. Coifman is a member of the American Academy of Arts and Sciences, the Connecticut Academy of Science and Engineering, and the National Academy of Sciences. He has received several prestigious awards including the 1996 DARPA Sustained Excellence Award, the 1996 Connecticut Science Medal, the 1999 Pioneer Award from the International Society for Industrial and Applied Mathematics, and the 1999 National Medal of Science.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.