معرفی
Michael Kerber is a Professor at Graz University of Technology, Institute of Geometry, specializing in computational topology and geometry. His research bridges mathematical theory with applications in data analysis, focusing on persistent homology and geometric algorithms.
- PhD from Max Planck Institute for Informatics (2009)
- Postdoc positions: Max Planck Institute, Stanford University, IST Austria
His work centers on designing efficient algorithms for topological data analysis, particularly:
- Persistent Homology
- 2-Parameter Persistence
- Geometric Filtrations
- Algebraic Curve Analysis
- High-Dimensional Sphere Packing
Recent publications emphasize:
- Improved Delaunay bifiltration methods
- NP-hardness of interleaving distance computation
- Sparse Čech filtrations for big data
- Integration with graph neural networks
He has co-developed key software tools:
- PHAT
- DIPHA
- HERA
- SOPHIA
۰مقاله منتشرشده
