Natural Language
Processing

Director Associate Professor at CIMAT-Gto

Dr. Adrián Pastor López Monroy received his Master's and Doctor's degrees in Computer Science from the Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE, Mexico) in 2012 and 2017, respectively. In 2017, he received the award for the best doctoral thesis in Artificial Intelligence (AI) from the Mexican Society of AI. Subsequently, in 2017 and 2018, he was a Full-Time Associate Researcher and Lecturer at the University of Houston, in Texas, USA. Currently, Dr. López Monroy is a Full-Time Research Professor in the Department of Computer Science at the Centro de Investigación en Matemáticas (CIMAT, Mexico). His research areas are Deep Learning for Natural Language Processing, and since 2013 he has led participations in machine learning competitions in the European forums "Conference and Labs of the Evaluation Forum CLEF-PAN" and in the "Iberian Language Evaluation Forum IberLEF", winning first place in various editions in Spain, England, France and Greece. He is a member of the Sistema Nacional de Investigadores (SNI) and CONAHCyT in groups for artificial intelligence (e.g., Alianza-IA, RedICA), and language technologies (RedTTL). He currently has more than 60 refereed publications in journals, conferences and book chapters, as well as more than 1300 citations and an H-index of 19 on Google Scholar.

Researcher appointed at CIMAT-Gto by CONAHCyT

Fernando Sánchez-Vega obtained his MS and PhD degrees in Computer Science from the National Institute for Astrophysics, Optics and Electronics (INAOE, Mexico) in 2010 and 2016, respectively. He received the Young Researchers Award from the Center for Advanced Studies in Information and Communication Technologies (CEATIC) at the University of Jaen (UJaen), Spain in 2017. In 2020, he held a Postdoctoral Fellow position in the Department of Computer Science at the Mathematics Research Center (CIMAT, Mexico) and another in the Data Sciences Program in Humanities at the Colegio de Mexico (COLMEX) in 2021. Since 2022, Dr. Sánchez-Vega has been a Professor in the Department of Computer Science at CIMAT, Mexico. His research topics of interest include deep learning, natural language processing, language and vision, and data sciences. He regularly collaborates with multiple research groups, including the "Lexicon, Dictionary, and Information Technology" Laboratory (LDI) at Université Paris Nord, France, and the Natural Language Engineering Lab at the Pattern Recognition and Human Language Technologies (PRHLT) Research Center in Spain, Language Technologies Laboratory (LabTL) at INAOE, Mexico, among others.

Associate Professor at CIMAT

Alejandro Rosales-Perez received a Bachelor's degree in Electronics Engineering from the Instituto Tecnológico de Tuxtla Gutierrez, in Chiapas, Mexico. Institute of Technology of Tuxtla Gutierrez, in Chiapas, and the degrees of Master of Science and Ph. Doctor in Computer Science from the National Institute of Astrophysics, Optics and Electronics (INAE), Optics and Electronics (INAOE) in 2011 and 2016, respectively. Currently, he is Researcher at the Center for Research in Mathematics (CIMAT) in Monterrey, and is a Member of the Monterrey, and is a Member of the National System of Researchers Level I.

Researcher appointed at CIMAT-Mérida by CONAHCyT

I hold a Bachelor of Science in Computer Science from the Universidad Autónoma de Yucatán, a Master of Science with a specialization in Computing and Industrial Mathematics from the Centro de investigación en Matemáticas (CIMAT), and a Doctor of Science with a focus on Computer Science, also from CIMAT. My experience encompasses both teaching and industry work. I have taught courses at the undergraduate and graduate levels. In the industry, I thrived as a data scientist, tackling various projects centered on data analysis and modeling from diverse sources. These projects culminated in the creation of specialized algorithms for problem-solving. My academic background, combined with industry experience, has fostered my ability to work and develop within multidisciplinary research groups. This includes collaborations in the healthcare field with doctors, nutritionists, marine biologists, neurobiologists, and genomics experts. Since 2019, I have been a distinguished Researcher for Mexico (CONACyT). Currently, I am commissioned to CIMAT-Unidad Mérida, conducting research in computer vision and data science applied to national challenges. Additionally, I hold the honor of being a member of the Sistema Nacional de Investigadores Level I.

Researcher appointed at CIMAT-Monterrey by CONAHCyT

Level 1 of the National System of Researchers (SNI). In 2012, received the degree of Engineer in Computer Science from the BUAP (Benemérita Universidad Autónoma de Puebla). Subsequently, in 2014 and 2019, earned a Master's degree and Doctorate in Computer Science, respectively, from the INAOE (Instituto Nacional de Astrofísica, Óptica y Electrónica), specializing in Artificial Intelligence and Natural Language Processing. Has authored various articles in both national and international journals and conferences. From 2019 to the present, holds the position of Researcher for Mexico of CONACyT at CIMAT-Unidad Monterrey. Belongs to the Mexican Association for Natural Language Processing and the Mexican Society for Artificial Intelligence.

Research Associate

An Industrial Engineer from the Instituto Tecnológico de Puebla. Master of Science with a specialization in Computing and Industrial Mathematics from the Centro de investigación en matemáticas (CIMAT). Doctor of Science with a specialization in Computer Science, also from CIMAT. Currently, he is a Technical Academic Titular C at CIMAT Unidad Monterrey, where he conducts research and outreach activities in areas such as machine/deep learning, natural language processing, spatiotemporal statistics, and complex data analysis. He is a member of the National System of Researchers with Level 1.