Götz Pfander

Götz Pfander is a Professor of Mathematics at the Catholic University of Eichstätt-Ingolstadt, holding the Chair of Mathematics - Scientific Computing. He has held previous academic roles at Philipps-Universität Marburg (W2 Numerical Analysis), Jacobs University Bremen (Associate/Assistant Professor), and visiting positions at institutions including MIT, NYU Courant, and TU München. His leadership roles include Dean and Vice Dean of the Faculty of Mathematics and Geography (2019-2023) and Speaker of the Mathematical Institute of Machine Learning and Data Science (MIDS) since 2022.

• PhD in Mathematics (University of Maryland, 1999), advised by John J. Benedetto
• Master of Arts in Mathematics (University of Maryland, 1998)
• Studies in Mathematics and Psychology (Johannes Gutenberg University Mainz, Freie Universität Berlin)

Pfander's research focuses on numerical harmonic analysis, operator sampling theory, and time-frequency analysis, with applications in digital communications and signal processing. His work bridges Gabor frames, wavelet transforms, and uncertainty principles to solve problems in OFDM channel modeling, sparse signal recovery, and quantum information theory. Notable contributions include:

• Sampling theory for pseudodifferential operators with bandlimited Kohn-Nirenberg symbols
• Uncertainty principles for joint time-frequency representations on finite Abelian groups
• Design of robust Gabor systems for wireless communication channels
• Wavelet-based periodicity detection for biomedical signals

His recent publications (2022-2024) emphasize exponential bases for interval partitions, cube tiling constraints, and complex-valued neural network approximation. Scientific awards include the Max Kade Fellowship and John von Neumann Visiting Professor title. He serves as Editor in Chief of Sampling Theory, Signal Processing, and Data Analysis and chairs the International Conference on Sampling Theory and Applications.