Summary Information of Prof. Octavio Loyola-González
Name
Prof. Octavio Loyola-González
Affiliation
Tecnologico de Monterrey, Puebla, Mexico
Topics
Machine Learning Pattern Recognition
Biography
Dr. Octavio Loyola-González received his B.Eng. in Informatics Engineering in 2010 and his M.Sc. degree in Applied Informatics in 2012, both from University of Ciego de Ávila. After, he received his PhD degree in Computer Science from the National Institute for Astrophysics, Optics and Electronics, Mexico, in 2017. He received the Best Thesis Award “José Negrete” for the Doctoral Thesis Category on Artificial Intelligence sponsored by the Mexican Society for Artificial Intelligence (SMIA). Prizewinner in the XXXI National Contest of Computer Science Thesis (ANIEI). Prizewinner to the best PhD Thesis in the Computer Science Coordination at National Institute of Astrophysics, Optics and Electronics. Currently, he is a Research Professor at Tecnologico de Monterrey’s Puebla Campus for undergraduate and graduate programs of Computer Sciences. Also, he is a member of the GIEE-ML (Machine Learning) research group at the Tecnologico de Monterrey, and the GIARP Group. These groups are devoted to research on pattern recognition, where we have developed a fingerprint verification framework and a data mining framework. Currently, he is a Member of the Mexican Researchers System (Rank 1).
Dr. Loyola-González has been involved in many research projects about pattern recognition, which have been applied on biotechnology and dactyloscopy problems, and he has published several papers in referenced journals. Also, he has won several awards from different institutions due to his research work. His current research is focused on development of algorithms based on contrast patterns for fuzzy problems as well as new minutiae-based descriptors by using deep learning.
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