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Massimo Fornasier embraces a broad spectrum of problems in mathematical modeling and analysis, focusing on numerical analysis. His research particularly delves into concepts of compression in data analysis and image signal processing, as well as adaptive numerical solutions for partial differential equations and high-dimensional optimization problems. He earned his doctoral degree in computational mathematics in 2003 from the University of Padua, Italy, and spent time as a postdoctoral research fellow at both the University of Vienna and the University of Rome La Sapienza from 2003 to 2006. He joined the Johann Radon Institute for Computational and Applied Mathematics (RICAM) at the Austrian Academy of Sciences, where he served as a senior research scientist starting in March 2011. Fornasier was appointed Chair of Applied Numerical Analysis at the Technical University of Munich (TUM) in 2011. He is a member of the VQR, involved in evaluating the quality of research in Italy, and sits on the editorial boards of Networks and Heterogeneous Media and the Journal of Fourier Analysis and Applications.
Technical University of Munich • Munich, Germany
Leading the Chair of Applied Numerical Analysis.
Johann Radon Institute for Computational and Applied Mathematics • Austria
Conducted advanced research in numerical analysis and applied mathematics.
University of Vienna and University of Rome La Sapienza • Austria and Italy
Conducted postdoctoral research in computational mathematics.
Princeton University • USA
Engaged in applied computational mathematics projects.