معرفی
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
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