Gerlind Plonka

Gerlind Plonka is a Professor of Applied Mathematics at the University of Göttingen, specifically within the Institute for Numerical and Applied Mathematics (NAM). Her research focuses on

• Numerical Fourier Analysis
• Wavelet Theory
• Regularization and Nonlinear Diffusion Methods
• Fast Algorithms and Numerical Stability
• Signal and Image Processing Applications

Her recent publications emphasize structured subsampling in Fourier domains, Prony-type methods for exponential sum recovery, and deep learning integration in medical imaging. She supervises active PhD candidates including Benjamin Kocurov, Anahita Riahi, Yannick Nicola Riebe, and Janina Schmidt, with a legacy of advising over 50 graduates across diverse topics like

• Sparse FFT Algorithms
• Phase Retrieval Constraints
• Wavelet-Based Image Compression
• Nonlinear Diffusion Filters
• High-Dimensional Data Approximation