Joint Vienna-Fudan Workshop on Mathematics
and Data Science

July 1-3, 2025

Vienna, AUSTRIA

Tuesday, July 1
09:30 - 09:50   Registration
09:50 - 10:00   Opening
Session 1
10:00 - 10:30 Shuai Lu "Norm spaces rooted in neural networks and their applications"
10:30 - 11:00 Otmar Scherzer "Regularization of Nonlinear Inverse Problems - From Functional Analysis to Data-Driven Approaches"
11:00 - 11:30   Coffee Break
Session 2
11:30 - 12:00 Zhiwu Lin "The onset of instability for zonal stratospheric flow"
12:00 - 12:30 Klaus Widmayer "Geophysical forces and the stability of 3d viscous shear flows"
12:30 - 14:00   Lunch Buffet
Session 3
14:00 - 14:30 Henk Bruin "Fibonacci maps on the interval"
14:30 - 15:00 Jiawen Zhang "Quasi-local algebras and asymptotic expanders"
15:00 - 15:30 Markus Oliver Steenbock "Product set growth and groups acting on trees"
15:30 - 16:00   Coffee Break
Session 4
16:00 - 16:30 Jin Cheng "Learning Boundary Operators and Inverse Potential Problems"
16:30 - 17:00 Noemi Naujoks "Diffraction Tomography for Confocal Measurements: k-space Analysis Across Different Scan Geometries"
      17:00        Evening Reception
Wednesday, July 2
Session 5
09:30 - 10:00 Martin Ehler "Quantitative estimates: How well does the discrete Fourier transform approximate the Fourier transform on the real line"
10:00 - 10:30 Ke Wei "Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions"
10:30 - 11:00 Radu Ioan Bot "Fast continuous and discrete time methods for monotone equations"
11:00 - 11:30   Coffee Break
Session 6
11:30 - 12:00 Siming Chen "Intelligent Data Insight: Large Language Model Driven Data Visual Analytics with Human-in-the-Loop"
12:00 - 12:30 Torsten Möller "MLMC: Visualizing Multi-Label Classification. A Tool for Intuitively Evaluating and Comparing Classifiers at Global, Label and Instance Levels"
12:30 - 14:00   Lunch Buffet
15:00 - 16:30   Guided Tour - University of Vienna (Main Building)
      18:00        Workshop Dinner
Thursday, July 3
Session 7
10:00 - 10:30 Tiandong Wang "Bootstrap Methods for Testing Asymptotic Dependence in Multivariate Heavy-Tailed Data"
10:30 - 11:00 Tatyana Krivobokova "Machine learning and statistical methods for high-throughput experimental data"
11:00 - 11:30   Coffee Break
Session 8
11:30 - 12:00 Tianyu Wang "Revisit Stochastic Optimization Methods in Modern Machine Learning"
12:00 - 12:30 Yurii Malitskyi "Implicit bias in optimization algorithms"
12:30 - 14:00   Lunch Buffet
14:00 - 17:00   Guided City Tour for the Participants from Fudan University