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Current List of Minisymposia and their Organizers:

  1. Approximation Theory in Data Analysis and Deep Learning. Organizers: Akram Aldroubi (Vanderbilt University) and Ilya Krishtal (Northern Illinois University)
  2. Approximation Methods and Application in Data Science. Organizers: Don Hong and Lu Xiong, Middle Tennessee State University
  3. Multivariate Splines: Theory and Applications. Organizers: Michael DiPasquale (University of South Alabama), Hendrik Speleers (University of Rome Tor Vergata), and Deepesh Toshniwal (Delft University of Technology)
  4. Nonlinear Approximation. Organizer: Peter Binev (University of South Carolina)
  5. Data Reduction, Approximation, and Computation. Organizer: Bernhard Bodmann (University of Houston) and Simon Foucart (Texas A&M University)
  6. Complex Approximation (Polynomial Approximation in Analytic Function Spaces). Organizer: Javad Mashreghi (Laval University)
  7. Approximation Theory in Applications. Organizers: Sergiy Borodachov and Tatyana Sorokina (both Towson University)
  8. Applications of Discrete and Continuous Energy. Organizers: Ryan Matzke and Oleksandr Vlasiuk (both Vanderbilt University)
  9. Sparsity for Data Representation and Learning: Analysis, Algorithms, and Applications. Organizers: Lixin Shen (Syracuse University) and Xiaosheng Zhuang (City University of Hong Kong)