Education
Electrical Engineering
PhD Degree
Supervisors
Professor Flavio Prieto
Machine Learning Scientist Luisa F. Polania
National University of Colombia 
Bogotá, Colombia
August 2018 - Feb 2019
Internship at The University of Tokyo
Prof. Toshiya Hachisuka
Postdoc researcher Adrien Gruson
March 2019 - August 2019
Internship at Lousiana State University
Prof. Supratik Mukhopadhyay
Industrial Automation
Master Degree
National University of Colombia
Bogotá, Colombia
Electronic Engineering
Undergraduate
National University of Colombia
Bogotá, Colombia
Special Mentions
Meritorious Doctoral Thesis 10. 2020
Faculty of Engineering - Universidad Nacional de Colombia – Bogotá,Colombia.
CEIBA Foundation Ph.D. Scholarship. 02. 2016 - 2020
CEIBA Foundation.
Meritorious Master Thesis 10. 2015
Faculty of Engineering - Universidad Nacional de Colombia – Bogotá,Colombia.
Graduate student Instructor scholarship. 02. 2014 - 07. 2015
Universidad Nacional de Colombia – Sede Bogotá - Dirección Académica.
PAES - Best high school graduates of the country. 2008 -2013
Universidad Nacional de Colombia Special admission program (PAES).
Working Experience
Sr Data Scientist. 05. 2021 - Now
Researcher in machine learning and computer vision at Mercado Libre. Work topics: image quality analysis, detection, moderations and classification, data analysis, among others.
Research Scientist in Computer Vision. 02. 2020 - 05.2021
Researcher in computer vision at ReconoSER ID. Work topics: face recognition, face antispoofing systems, face clustering, image quality analysis.
Extension Projects Assistant Student. 10. 2013 - 01.2014
Graduate student instructor at the Electronic and Electrical Engineering department for the Digital Electronic I and Technique Integration.
Teaching Experience
Clase-t Project. 09. 2015 - 11. 2015
Construction budget update and systematization; Unitary prices analysis for electric designs, voice and data, CCTV, Fire prevention systems and loud speaker systems in extension projects of the university. Universidad Nacional de Colombia.
Graduate Student Instructor. 02. 2014 - 07. 2015
Graduate student instructor at the Electronic and Electrical Engineering department for the Digital Electronic I and Technique Integration.
Publications
Deep Learning for Fractographic Classification in Metallic Materials
M.X. Bastidas-Rodriguez, Luisa Polania, Adrien Gruson, F.A. Prieto-Ortiz
Engineering Failure Analysis.
Deep Adaptive Neural Network
M.X. Bastidas-Rodriguez, Adrien Gruson, Luisa Polania, Shin Fujieda, F.A. Prieto-Ortiz, Kohei Takayama, Toshiya Hachisuka
2020 IEEE Winter Conference on Applications of Computer Vision (WACV).
A One-shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infracted Myocardium
Qun Liu, Supratik Mukhopadhyay, MX Bastidas-Rodriguez, Xing Fu, Sushant Sahu, David Burk, Manas Gartia
2020 IEEE International Symposium on Biomedical Imaging (ISBI).
A Textural Deep Neural Network Combined With Handcrafted Features for Mechanical Failure Classification
M.X. Bastidas-Rodriguez, F.A. Prieto-Ortiz, Luisa Polania
2019 IEEE International Conference on Industrial Technology (ICIT)
DenseNet model combined with Haralick’s handcrafted features for texture classification
C.A. Rivera-Morales, M.X. Bastidas-Rodríguez, F.A. Prieto-Ortiz
IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2018
Fractographic classification in metallic materials by using computer vision
M.X. Bastidas-Rodríguez, F.A. Prieto-Ortiz and E. Espejo-Mora
Engineering Failure Analysis, 59 (2016) 237–252
Fractographic classification in metallic materials by using 3D processing and computer vision techniques
M.X. Bastidas-Rodríguez, F.A. Prieto-Ortíz, E. Espejo-Mora
Revista Facultad de Ingeniería, Vol 25, No 43 (2016) 83-96