Oscar Castillo holds the Doctor in Science degree (Doctor Habilitatus) in Computer Science from the Polish Academy of Sciences (with the Dissertation “Soft Computing and Fractal Theory for Intelligent and Manufacturing”). He is a Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology. In addition, he is serving as Research Director of Computer Science and head of the research group on Hybrid Fuzzy Intelligent Systems. Currently, he is President of Hispanic American Fuzzy Systems Association and Past President of IFSA (International Fuzzy Systems Association). Prof. Castillo is also Chair of the Mexican Chapter of the Computational Intelligence Society (IEEE). He is also a member of NAFIPS, IFSA and IEEE. He belongs to the Mexican Research System (SNI Level 3 and Emeritus). His research interests are in Type-2 and Type-3 Fuzzy Logic, Fuzzy Control, Neuro-Fuzzy and Genetic-Fuzzy hybrid approaches. He has published over 400 journal papers, 20 authored books, 100 edited books, 300 papers in conference proceedings, and more than 400 chapters in edited books, in total more than 1270 publications (according to Scopus) with h index of 105 and more than 35000 citations according to Google Scholar. Additionally, he received the Recognition as Highly Cited Researcher in 2017 and 2018 by Clarivate Analytics and Web of Science. Finally, he also received the National Award on Computer Science (2019) by the National Academy of Computer Science in Mexico.