Unstructured data is ubiquitous, while the amount of data is immense and rapidly increasing. The processing of social network data, text data, audio files, photos and videos, but also scientific data, like measurements and simulation data has become vital to our modern society. Multiresolution methods in general and wavelets in particular are well-established tools for nonlinear approximation, image analysis, signal processing, and machine learning.
This workshop will delve into the foundations and recent developments in wavelet and abstract multilevel methods, highlighting their pivotal role in modern computational and applied mathematics. The event, designed as a two-day gathering, will bring together leading researchers to discuss the intersection of these methodologies.
The workshop aims to encourage spontaneous exchanges of ideas and uncover unexpected connections between different fields. By promoting an open and exploratory atmosphere, the event seeks to facilitate cross-disciplinary collaboration, paving the way for future innovations in both the theory and practice of multiresolution methods.
We are delighted to have these confirmed speakers:
- Remi Abgrall, University of Zurich
- Peter Balazs, Austrian Academy of Science
- Martina Bulai, University of Turin
- Jürgen Dölz, University of Bonn
- Wolfgang Erb, University of Padua
- Helmut Harbrecht, University of Basel
- Armin Iske, University of Hamburg
- Mauro Maggioni, Johns Hopkins University
- Daniel Peterseim, University of Augsburg
- Gabriele Santin, Ca' Foscari University of Venice
- Johannes Tausch, Southern Methodist University
- Holger Wendland, University of Bayreuth
- Tizian Wenzel, Ludwig Maximilian University of Munich
If you are interested in attending the workshop and following the talks by our invited speakers, please contact us at [email protected] by September 14th.
