Michael Multerer

Michael Multerer is an Associate Professor at the Faculty of Informatics, Università della Svizzera italiana (USI). His research focuses on multiresolution methods, scattered data analysis, and numerical analysis with applications in computational mathematics and engineering. He leads projects such as the SNSF Starting Grant on multiresolution methods for unstructured data, emphasizing nonlinear approximation and kernel-based techniques.

Research Interests:

• Development of fully discrete multiresolution methods for unstructured data
• Wavelet theory and kernel matrix algebra
• Uncertainty quantification in partial differential equations
• Scattered data compression and approximation

Key Software Contributions:

• FMCA: Fast multiresolution covariance analysis for scattered data
• Bembel: Boundary element library for solving Laplace and Helmholtz equations
• SPQR: Anisotropic sparse grid quadrature in MATLAB

Funding: Holder of the SNSF Starting Grant (2025) for advancing multiresolution techniques in unstructured data processing.

Labs/Teams: Active in the research group at USI’s Faculty of Informatics, collaborating with institutions like TU Darmstadt and University of Basel on numerical methods and engineering applications.