Marisol Monterrubio Velasco

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I have a degree in Physics by National Autonomous University of Mexico
(UNAM) in 2006. My main interest is the modeling of the Earth's complex system by using
cellular automaton models.
My bachelor project was the study of the fractal growth in sub-aquatic caves by means of a modified Diffusion Limited Aggregation model. In 2007 I started my
post-graduate studies in the Polytechnic University of Catalonia on the program research of Computational and Applied Physics
I focused my specialty in the Computational Physics in Geophysics group studying the earthquakes as statistical phenomena. To study this phenomena I applied fractal techniques and statistical analysis. We applied and studied a numerical model capable of reproducing features of real series. In 2014 I moved to UNAM Geosciences Center thanks to a postdoctoral fellowship. There I had the opportunity to continue developing the earthquakes model adding space and magnitude 
characteristics. In 2016 I was awarded a postdoctoral fellowship in  the Barcelona Supercomputing Center (BSC) thanks to the agreement CONACYT- BSC. I worked from  February to December 2016 in the atmospheric composition group to update the HERMES database. From January 2017 I'm working in Computer Applications in Science & Engineering department at BSC. My research focuses on improving and developing earthquake models based in the Fiber Bundle model.


2001 - 2005 | Bachelor's Degree in Physics. Bachelor's Thesis: "Fractal study of Quintana Roo caves".  Sciences Faculty, National Autonomous University of Mexico

2007 - 2008 | Physics master. Computational and Applied Physics research program by  niversitat Politècnica de Catalunya

2009 - 2013 | PhD Physics. PhD Thesis: "Statistical analysis and fractal behavior of Southern California aftershocks"

2014 - 2016 | Postdoctoral.   Center for Geosciences UNAM. Group of Statistical Seismology, Juriquilla Mexico

2016 - 2017  | Postdoctoral.  Barcelona Supercomputing center
​ 2016 Accepted as candidate in the Mexican National System of Researchers (SNI) 


Earthquake simulation by using the Fiber Bundle model

Abstract:  The statistical behavior of quakes is described by some mathematical empirical relations. In seismology this relations describes seismic emergent properties in size, time, space domains. A model widely used to describe and simulate complex rupture processes is known as the Fiber Bundle Model (FBM). It is a cellular-automaton model based on the interactions of individual cells, with particular transfer load rules and a probability distribution function describing the intrinsic cells properties. Its simplicity offers many advantages and an adaptability to describe a wide range of phenomena. We are developing a modified version of FBM to simulate statistical features of quakes in space, time and magnitude. In this sense we will use high-performance computing (HPC) to improve the simulations in a reduced period, and machine learning (ML) as analysis tool to analyze the model parameters and also to compare synthetic seismic catalogues with reals.