Registration and Opening Remarks 8:30 -9:00
9:00 - 10:00
An introduction to applied topology
10:00 - 10:50
Discrete Cubical Homology of Quasimonophobic Graphs
10:50 - 11:15
11:15 - 12:00
Sheaf Cohomology in Network Coding
12:00 - 12:30
From Simplicial Sets to the definition of $\infty$-Categories
12:30 - 1:00
From Persistence Diagrams to Deep Learning: A TDA Pipeline
Lunch Break 1:00 - 2:10
2:15 - 3:00
Multiparameter Persistent Homology for Hypergraphs
3:00 - 3:30
Homology Theories of hypergraph
3:30 - 4:00
Tea Break
4:00-4:30
A Review of Topological Tools in Machine Learning
4:30-5:00
Euler Characteristics Tools for Topological Data Analysis
5:00-5:30
Topology-Aware Medical Image Segmentation: Preserving Anatomical Structure in Learning-Based Methods
Closing Remarks