Pattern formation in active matter and biology: bacterial mixtures and vegetation
Pattern formation in active matter and biology: bacterial mixtures and vegetation
From interacting particle systems to topological data analysis
Grant number: | 16/21032-6 |
Support Opportunities: | Scholarships abroad - Research |
Start date: | February 01, 2017 |
End date: | January 31, 2018 |
Field of knowledge: | Physical Sciences and Mathematics - Mathematics - Applied Mathematics |
Principal Investigator: | Marcio Fuzeto Gameiro |
Grantee: | Marcio Fuzeto Gameiro |
Host Investigator: | Konstantin Mischaikow |
Host Institution: | Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil |
Institution abroad: | Rutgers The State University of New Jersey, New Brunswick, United States |
Abstract The goal of this project is to use topological data analysis techniques to analyze complex spatio-temporal data. One of the main tools in topological data analysis is persistent homology, which is essentially a non-linear reduction technique used to significantly reduce the dimension of high-dimensional data while still preserving its essential topological information. The main goal of this project is to apply these techniques to the analysis of fluid dynamics simulations and experimental data to understand its dynamics. This project will be carried out at Rutgers University in collaboration with the group of Konstantin Mischaikow, who is one of the leading scientist worldwide in the development and applications of techniques in topological data analysis. (AU) | |
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