Dr. Ángel Díaz-Pacheco is a Full-Time Research Professor at the Department of Electronic Engineering, University of Guanajuato, Mexico. He received his B.Sc. in Computer Systems Engineering from the Instituto Tecnológico de Veracruz (2010), his M.Sc. in Computer Systems from the Instituto Tecnológico de Apizaco (2013), and his Ph.D. in Computer Science from the National Institute of Astrophysics, Optics and Electronics (INAOE, 2019). He also completed a postdoctoral research stay at the Technology Transfer Unit of CICESE (2021–2022).
His research focuses on artificial intelligence, data science, natural language processing, machine learning, big data analytics, and soft computing, with applications in tourism intelligence, destination image analysis, online reputation management, and educational data mining. He has authored and co-authored numerous scientific publications on tourism analytics, multimodal data analysis, sentiment analysis, and computational intelligence methods.
Dr. Díaz-Pacheco serves as reviewer and guest editor for several international journals and actively contributes to interdisciplinary research initiatives combining AI and social sciences. He is a member of the Mexican Association for Information Technologies (AMIT), holds the PRODEP Desirable Profile distinction, and is recognized as a National Researcher Level I by SECIHTI’s National System of Researchers (SNII).
Dr. Ángel Díaz-Pacheco is a Full-Time Research Professor at the Department of Electronic Engineering, University of Guanajuato, Mexico. He received his B.Sc. in Computer Systems Engineering from the Instituto Tecnológico de Veracruz (2010), his M.Sc. in Computer Systems from the Instituto Tecnológico de Apizaco (2013), and his Ph.D. in Computer Science from the National Institute of Astrophysics, Optics and Electronics (INAOE, 2019). He also completed a postdoctoral research stay at the Technology Transfer Unit of CICESE (2021–2022).
His research focuses on artificial intelligence, data science, natural language processing, machine learning, big data analytics, and soft computing, with applications in tourism intelligence, destination image analysis, online reputation management, and educational data mining. He has authored and co-authored numerous scientific publications on tourism analytics, multimodal data analysis, sentiment analysis, and computational intelligence methods.
Dr. Díaz-Pacheco serves as reviewer and guest editor for several international journals and actively contributes to interdisciplinary research initiatives combining AI and social sciences. He is a member of the Mexican Association for Information Technologies (AMIT), holds the PRODEP Desirable Profile distinction, and is recognized as a National Researcher Level I by SECIHTI’s National System of Researchers (SNII).