Aims and Scope


The conference will focus on recent advances in applied and computational harmonic analysis. 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, quantum computing, wavelet theory, time-frequency analysis, sampling theory, image processing, and related aspects of machine learning, data science and applied mathematics.

Plenary Speakers

• Daniel Abreu (Acoustics Research Institute Vienna)
• Akram Aldroubi (Vanderbilt University)
• Rima Alifari (ETH Zürich)
• Afonso Bandeira (ETH Zürich)
• Mikhail Belkin (Ohio State University)
• Helmut Boelcskei (ETH Zürich)
• Annie Cuyt (University of Antwerp)
• Mark Iwen (Michigan State University)
• Hrushikesh Mhaskar (Claremont Graduate University)
• Dustin Mixon (Ohio State University)
• Justin Romberg (Georgia Institute of Technology)
• Karin Schnass (University of Innsbruck)
• Joel Tropp (California Institute of Technology)

Conference Chairs

• Holger Boche (TU Munich)
• Charles Chui (Hongkong Baptist University)
• Massimo Fornasier (TU Munich)
• Felix Krahmer (TU Munich)
• Götz Pfander (KU Eichstätt-Ingolstadt)