Aims and ScopeThe conference will focus on recent advances in applied and computational harmonic analysis as well as their mathematical foundations. Topics will include, but are not limited to, compressed sensing, frame theory, phase retrieval, randomized algorithms, convolutional neural networks, deep learning, graph-based signal processing and graph neural networks, quantum computing, wavelet theory, time-frequency analysis, sampling theory, image processing, and related aspects of machine learning and data science.
We especially encourage junior researchers to submit their work. Submissions including an author within 5 years of finishing their PhD will be prioritized in the selection process.
Note that this event complements the regular (on-site) ICCHA conference series and will be followed by on-site ICCHA 2022:
Conference Program and Zoom DetailsTo view the program, the abstracts of plenary and invited talks, and further information on how to participate via Zoom, please click on the program tab.
RecordingsRecordings of the plenary and invited talks can be found HERE.
- Demba Ba (Harvard University)
- Afonso Bandeira (ETH Zurich)
- Michael Bronstein (Imperial College London, USI, Twitter)
- Emanuel Carneiro (ICTP, IMPA)
- Clarice Poon (University of Bath)
- Rayan Saab (UC San Diego)
- Stefan Steinerberger (University of Washington)
- Felix Voigtländer (Technical University of Munich)
- Andrei Caragea (Catholic University of Eichstaett/Ingolstadt)
- Tim Fuchs (Technical University of Munich)
- Alihan Kaplan (Technical University of Munich)
- Timo Klock (Simula Research Laboratory)
- Dae Gwan Lee (Catholic University of Eichstaett/Ingolstadt)
- Ron Levie (Ludwig Maximilian University of Munich)
- Johannes Maly (Catholic University of Eichstaett/Ingolstadt)
- Claudio Mayrink Verdun (Technical University of Munich)
- Patricia Römer (Technical University of Munich)
- Hanna Veselovska (Technical University of Munich)