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 3 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
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