With over 30 years of distinguished experience in computer science, Gerardo Aleman Manzanarez is a seasoned expert in software development, data engineering, and artificial intelligence. His extensive career spans software full-cycle application development and Business Intelligence (BI).
He holds a Bachelor’s degree in Computer Science from ITESM (Instituto Tecnológico y de Estudios Superiores de Monterrey), a Master’s degree in Computer Science, and a Master’s in Business Administration (MBA), both also from ITESM. Currently, he is pursuing his Ph.D. in Computer Science at ITESM, where his research focuses on Natural Language Processing (NLP) and the development of deep learning systems for automated microfiction generation, representing a pioneering contribution to AI-driven creative writing.
As an Associate Member of the Laboratoire d’Informatique Paris Nord at Université Sorbonne Paris Nord, he engages in cutting-edge computational linguistics research. He is also an Associate Member of the Asociación Mexicana de Procesamiento de Lenguaje Natural.
Dr. Jorge Garcia Flores is a research engineer at the CNRS in the Paris-Nord Informatics Laboratory (LIPN) of the Sorbonne Paris-Nord University. Specializing in Artificial Intelligence (AI) applied to natural language processing, his research focuses on the generation of micro-stories assisted by massive linguistic models and the analysis of highly skilled Latin American migrations using deep reinforcement learning methods. Most of this work has been funded by Franco-Mexican research grants and carried out in collaboration with Mexican laboratories. Prior to joining the CNRS, he studied Computer Systems Engineering at Tec de Monterrey and Hispanic Literature at the National Autonomous University of Mexico (UNAM). Thanks to a CONAHCyT scholarship abroad, he completed a PhD in computational linguistics at the Paris-Sorbonne University and subsequently a postdoc in automatic text summarization at the French Atomic Energy Commission. Since 2024 he has been the director of Muframex (SEP-MESRN), an institution that promotes and facilitates bilateral scientific and university cooperation between Mexican and French higher education and/or research institutions.
Raúl Monroy obtained a PhD in Artificial Intelligence in 1998 from Edinburgh University under the supervision of Prof. Alan Bundy. He is a Professor in the Department of Computing and a research group leader in Advanced Artificial Intelligence at Tecnologico de Monterrey. Prof. Monroy is a member of the CONACYT-SNI Mexican Research System, currently Rank 3 (top). He is a fellow of the Mexican Academy of Sciences and of the Mexican Academy of Computing. His research focuses on the design and development of novel machine learning models, which he often applies in the domain of (cyber) security. Prof. Monroy has held a number of research grants from various funding agencies, including Google (holder), CONACYT---the Mexican research council---(holder), ECOS–NORD (co-holder), BMBF (co-holder), DAAD, (co-holder), FRIDA (holder), and CONACyT-REDII (co-holder); in addition, he is the sole or joint author of over 120 published papers. He is the programme co-chair for MICAI-2004, MICAI-2005 and MICAI 2009, and has been President of the Mexican Society for Artificial Intelligence (2010–2012), chair of the CONACYT Research Network on ICT (2012–2014), and Elected Secretary to the Mexican Academy of Computing (2018–2020).
Nathalie Pernelle is a Full Professor at Sorbonne Paris Nord University. She obtained a HDR (habilitation to lead research) at the University of Paris Saclay. Her main research interests are related to knowledge graphs, knowledge discovery, graph completion, rule mining, and data linking. She has participated to 15 academic and industrial projects and has supervised 9 Ph.D. student. She is the co-author of more than 70 articles in international conferences and journals, and has consistently served as a member of the scientific program committee (PC) of international conferences in Data Mining, Semantic Web and more broadly in Artificial Intelligence.
