Kenia NIETO-BENITEZ
Tecnológico Nacional de México, Centro Nacional de Investigación y Desarrollo Tecnológico (TecNM/CENIDET)
Mexico

Doctoral student in Computer Science at Centro Nacional de Investigación y Desarrollo Tecnológico (TecNM/CENIDET). She received the master’s degree in computer science from TecNM/CENIDET in 2017. She currently works in Natural Language Processing, especially in the study of language of political discourse. Her current research interests include NLP, machine learning and the denaturation of language.

Noe Alejandro CASTRO-SANCHEZ CASTRO-SANCHEZ
Tecnológico Nacional de México, Centro Nacional de Investigación y Desarrollo Tecnológico (TecNM/CENIDET)
Mexico

Completed his master's and doctoral studies at the Research Center in Computing of the National Polytechnic Institute, specializing in Natural Language Processing. He is a member of the National Researchers System, a board member of the Mexican Society of Artificial Intelligence, and a member of the Latin American Association of Language Technologies. He serves as a faculty member at the National Center for Research and Technological Development (CENIDET).

Hector Jimenez SALAZAR
Universidad Autonoma Metropolitana
Mexico

Studied for a bachelor's degree in mathematics and later a master's and PhD in computer science. He has been an active member of the Mexican Natural Language Processing Association for more than 15 years. He has taught computing at the Autonomous University of Puebla, and since 2007 he has been a professor at the Autonomous Metropolitan University. In addition to his interest in NLP is the feedback in the teaching-learning process.

Gemma BEL-ENGUIX
Universidad Nacional Autónoma de México
Mexico

PhD in Computational Linguistics from the Rovira i Virgili University (Tarragona). Since 2016 she is a researcher at the Instituto de Ingeniería, at the Universidad Nacional Autónoma de Mexico. She currently works in Natural Language Processing, especially in the study of language of social platforms, graphs, complexity and detection of sexism and aggresive language. She is the editor of 8 books and author of more than 100 research articles in indexed journals, book chapters and conference proceedings.

Dante MÚJICA VARGAS
Tecnológico Nacional de México, Centro Nacional de Investigación y Desarrollo Tecnológico (TecNM/CENIDET)
Mexico

Received the Ph.D. degree in Communications and Electronics from Seccion de Estudios de Posgrado e Investigación, ESIME-Culhuacán, Instituto Politécnico Nacional in Mexico. He is a professor from 2015 at the Departamento de Ciencias Computacionales, Tecnológico Nacional de México/Centro Nacional de Investigación y Desarrollo Tecnológico. His current research interests include deep learning, machine learning, fuzzy clustering, neuro-fuzzy systems, digital signal processing and biomedical applications.

Juan Gabriel GONZÁLEZ SERNA
Tecnológico Nacional de México, Centro Nacional de Investigación y Desarrollo Tecnológico (TecNM/CENIDET)
Mexico

Earned his Ph.D. in Computer Science from the Research Center in Computing of the National Polytechnic Institute (CIC-IPN) in 2006. He obtained a Master's degree in Computer Science from the National Research and Technological Development Center (TecNM/CENIDET) in 1995. He has been a Professor-Researcher in the Department of Computer Science at TecNM/CENIDET since 1995 to the present. His research areas include Human-Computer Interaction, Affective Computing and Sentiment Analysis, and User Experience (UX) Evaluation.

Nimrod GONZÁLEZ FRANCO
Tecnológico Nacional de México, Centro Nacional de Investigación y Desarrollo Tecnológico (TecNM/CENIDET)
Mexico

Joined TecNM/CENIDET, located in Cuernavaca, Mexico, as a research professor in the field of Intelligent Hybrid Systems in 2019. He has served as a reviewer for scientific articles across multiple journals and conferences, including prominent events like the World Multi-Conference on Systemics, Cybernetics and Informatics, as well as the Mexican International Conference on Artificial Intelligence. His research spans diverse areas, with a focus on brain-computer interface systems and machine learning.