Carlos Fernandez-Granda

About

Carlos Fernandez-Granda is an Associate Professor of Mathematics at NYU Courant. His research focuses on developing and analyzing optimization-based methods to tackle problems in applications such as neuroscience, computer vision and medical imaging.

Education

• Ph.D., Stanford University, USA, 2015
• M.S., École Normale Supérieure de Cachan, Paris, France
• B.S., École des Mines de Paris / ETSIT, Universidad Politécnica de Madrid, 2008

Selected publications

• E. J. Candès, C. Fernandez-Granda, "Towards a mathematical theory of super-resolution", Communications on Pure and Applied Mathematics 67, 6, 906–956 (2014)
• E. J. Candès, C. Fernandez-Granda, "Super-resolution from noisy data", Journal of Fourier Analysis and Applications 19, 6, 1229–1254 (2013)