Victor Carreira is a PhD-candidate in geophysics at Observatório Nacional, Brazil. His research interests include geoscience, modeling computing, machine learning, meta-heuristics, Data Science, Big Data. He works developing new methodologies in pattern recognition.
PhD in Geophysics, nowadays
Observatório Nacional
Masters Degree in Geophysics, 2015
Observatório Nacional
BSc in Geology, 2012
Universidade Federal do Rio de Janeiro
My Curriculum is available on academic version Curriculum Lattes or on professional version Curriculum Vitae form. (Last updated: March 15, 2019)
Recovering a 2D sedimentary basin basement releif using eletromagnetic methods as constrains. Check out my publicantion of 2018.
Cite this article using the bib reference bellow
@article{CarreiraVR2018,
author = {Carreira, V. R. and La Terra, E. F. and Fontes S. L.},
doi = {10.22564/rbgf.v36i1.893},
journal = {Revista Brasileira de Geof{\'{i}}sica},
pages = {36--59},
title = {Density model for the central part of Paran{\'{a}} Basin, using magnetotellurics as basement constraint, South Portion of Brazil},
volume = {1},
year = {2018}}
Want to know more about Machine learning in Geophysics checkout my latest talk on UERJ geophysical Society Magazine published in Jun 2019: