The 5th School on Topological Data Analysis is part of the joint effort between CIMAT, CINVESTAV, UNAM, and other national institutions to promote the development of this new area in Mexico.The school will foster interactions, scientific discussions, and networking, in which we expect all the participants, both researchers and students take part.The school will consist of 2 mini-courses and invited talks by the following speakers:

Mini Courses

Resolving persistent homology  
Ezra Miller, Duke University
The geometry of synchronization problems and group actions
Jacek Brodzki, Southampton
Learning varieties from samples
Sara Kalisnik, Wesleyan University

Invited talks

Topology, neuroscience and learning  
Daniela Egas Santander, EPFL
Computer algebra: formalization and applications to network reliability and biomedical image processing  
Eduardo Sáenz de Cabezón, Universidad de La Rioja
Efficient computation of multiparameter persistent homology  
Abraham Martín del Campo, Conacyt - CIMAT
Topological filtering of noisy signals and modulus of continuity
Rolando Biscay, CIMAT
Classification of short ECG readings via topological time series analysis  
Paul S. Ignacio, Univ. Of Iowa - Univ. Phillipines Baguio
Rigidity, mapping class groups and stochastic topology  
Noé Bárcenas, CCM - UNAM
Persistent homology in natural language processing
Jesús Rodríguez, Univ. of Iowa  
Homotopy and the Vietoris-Rips homology
Antonio Rieser, CONACYT-CIMAT

The school will foster interactions, scientific discussions, and networking, in which we expect all the participants, both researchers and students take part.
Additionally, there will be contributed talks and a poster session. Among the confirmed speakers we have.
Deadline to send contributed talks and poster: October 5, 2018 to rosa@cimat.mx

Registration deadline: November 1, 2018

Organizing Committee

Abraham Martín del Campo
Antonio Rieser
Carlos Vargas
Cátedras CONACYT/ CIMAT, Guanajuato

 

Privacy Policy and Personal Data Handling (in Spanish)