Education:
Publications:
Journals:
Palafox, A., Capistrán, M. A., and Christen J. A., “Point cloud based scatterer approximation and affine invariant sampling in the inverse scattering problem,” Accepted on Mathematical Methods in the Applied Sciences.
Palafox, A., Capistran, M. A. and Christen J. A., “Effective Parameter Dimension via Bayesian Model Selection in the Inverse Acoustic Scattering Problem,” Mathematical Problems in Engineering, vol. 2014, Article ID 427203, 12 pages, 2014. doi:10.1155/2014/427203.
Ramirez-Manzanares A., Palafox-Gonzalez A. and Rivera M., “Robust Spatial Regularization and Velocity Layer Separation for Optical Flow Computation on Transparent Sequences”. Lecture Notes on Computer Science, volume 6437, Springer Berlin Heidelberg, 325-336. 2010.
National Conferences:
Palafox, A., Capistrán, M. A., and Christen J. A., "Towards the solution of the Inverse Scattering problem in the Bayesian context". Escuela Nacional de Optimización y Análisis Numérico (National School of Optimization and Numerical Analysis), ENOAN14. Guanajuato, Mexico (April 2014). (Poster)
Palafox, A., Capistrán, M. A., and Christen J. A., "A method based on a Point Cloud towards the solution of an Inverse Scattering Problem". XLVII Congreso de la Sociedad Matemática Mexicana (Congress of the Mexican Mathematics Society), SMM. Durango, Mexico. (October 2014).
Ramirez-Manzanares A., Palafox-Gonzalez A. and Rivera M., "Robust Spatial Regularization and Velocity Layer Separation for Optical Flow Computation on Transparent Sequences". VII Taller de Procesamiento de Imágenes, (Workshop on Image Processing). Guanajuato, Mexico. (October 2010).
International Conferences:
Palafox, A., "A point cloud method in the Computerized Axial Tomography problem". Approximation and Optimization in the Caribbean, Appopt XI, Puebla, Mexico. (October 2013).
Palafox, A., Capistrán, M. A., and Christen J. A., "A Bayesian solution for the Inverse Scattering Problem". International Workshop on Statistical and Computational Methods for Inverse Problems arising in (O, P or S) Differential Equations. Guanajuato, Mexico (August 2013). (Poster)
Palafox, A., Capistrán, M. A., and Christen J. A., "A Bayesian solution for the Inverse Scattering Problem". International Supercomputing Conference in Mexico, ISUM. Guanajuato, Mexico ( March 2012).
Ramirez-Manzanares A., Palafox-Gonzalez A. and Rivera M., "Robust Spatial Regularization and Velocity Layer Separation for Optical Flow Computation on Transparent Sequences". 9th. Mexican International Conference on Artificial Intelligence MICAI. Pachuca, Mexico. (November 2010).
Seminars:
"A cloud of points approach for Bayesian Uncertainty Quantification in the PDE scattering inverse problem". Join meeting with University of Bath. (November 2015).
"Representation based on a point cloud and an affine invariant MCMC in the Inverse Scattering Problem". Computation Seminar at CIMAT, (September 2015).
"A point cloud based method for the Inverse Scattering Problem". Uncertainty Quantification seminar at CIMAT. (February 2015).
"Bayesian analysis of the Inverse Scattering Problem". Partial Differential Equations and Numerical Analysis seminar at CIMAT. (April 2013).
Academic Background:
Uncertainty Quantification: Surrogate Models, Input Representation, Dimension Reduction, Numerical Constrains ...
Bayesian Statistics: Bayesian inference, Statistical Modelling, Affine invariant MCMC methods, efficient sampling ...
High Performance Computing: Parallel implementation of numerical methods on CUDA, MPI and/or OpenMP ...
Image Processing: Velocity Segmentation, Transparent Optical Flow, Optical Flow ...
Scholarships:
2007 - 2010 granted by CIMAT.
2010 - 2012 MSc scholarship granted by CONACYT.
2012 - 2016 PhD scholarship granted by CONACYT.
Experience:
Working:
Projects:
2012
2011
Workshop on Problems solutions for Industry.
CIMAT.
Computational Design and Screening of Li-ion Battery Materials using Quantum and Atomistic Simulations, UARC/NASA Ames Research Center and Stanford University
Workshop on Problems Solutions for Industry
CIMAT.
Stochastic Optimization of processes using simulators. Instituto Mexicano del Petroleo.
Languages:
Computer skills: