Computational Geometry and Topology

The workshop focuses on recent advances on algorithms and data structures for computational geometry and topology, persistent homology and topological data analysis, geometric statistics, stochastic geometry, shape analysis and modeling, geodesic methods in Riemannian manifolds, Lie groups and metric spaces, geometric and topological aspects of machine learning, applications of geometry and topology in biology and medicine, geometry processing, discrete differential geometry.

Organizers

Speakers

Invited speakers

Purdue University

Lawrence Berkeley National Labs

Tallahassee

ETH Zuerich

Université Paris-Saclay

University of Goettingen

Charles University

University of Potsdam

KTH Stockholm

University of Houston

SUNY Albany

Carnegie Mellon University

Rutgers University

Wolfgang Pauli Institut