Ramón Zatarain-Cabada

Ramón Zatarain Cabada is Professor and Researcher at the Instituto Tecnológico de Culiacán, Mexico. He is a regular member of the Mexican Academy of Computing (AMEXCOMP), the Mexican Society of Artificial Intelligence (SMIA) and the Mexican System of Researchers Level I (SNI). He has been a professor and Researcher at institutions such as Instituto Tecnológico de Toluca, the University of the State of México (UAEM), and the Instituto Tecnológico de Aguascalientes. He was a leader to create programs for Computer Science (Master and Ph.D.). He has served as co-editor of a special issue of Educational Technology and Society and author of chapters in different Springer books such as Soft Computing for Recognition Based on Biometrics, Social Networking and Education, and Current Trends on Knowledge-Based Systems. As a researcher he has been a leader in more than 20 research projects and has more than 100 publications in different international journals and proceedings. His research interests are on Intelligent Learning Environments, Affective Computing, and Artificial Intelligence applied to Education.

Publications

Deep Learning Approaches for Affective Computing in Text
Deep Learning Approaches for Affective Computing in Text
Ramón Zatarain Cabada, María Lucía Barrón Estrada, Víctor Manuel Bátiz Beltrán. © 2024. 34 pages.
The field of natural language processing (NLP) is one of the first to be addressed since artificial intelligence emerged. NLP has made remarkable advances in recent years thanks...
An Online Course of Dynamics and Kinematics Physics Education Using eXtended Reality (XR) Technologies.
An Online Course of Dynamics and Kinematics Physics Education Using eXtended Reality (XR) Technologies.
María Lucía Barrón-Estrada, Brandon Antonio Cardenas-Sainz, Ramón Zatarain-Cabada. © 2023. 24 pages.
This chapter discusses the use of extended reality (XR) for the design and development of online learning applications using real-time physics simulations. The authors propose an...