The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach
Transportmetrica B: Transport Dynamics
José Ángel Martín Baos is an Assistant Professor (PhD) at the Escuela Superior de Informática of the University of Castilla-La Mancha. He obtained his PhD in Advanced Computer Technologies from the University of Castilla-La Mancha in 2023. There, he graduated with honors on both a BSc. in computer science in the year 2018, and a MSc. in computer science in the year 2019.
Since 2016, José Ángel has been working as a researcher in the MAT (Modelos y Algoritmos en Sistemas de Transportes) research group at the University of Castilla-La Mancha. His research focuses on the use of machine learning models and artificial intelligence for solving optimization problems in the field of transportation. Specifically, he has worked on the application of machine learning models for transport demand modeling.
PhD in Computer Science
University of Castilla-La Mancha
MSc. in Computer Science
University of Castilla-La Mancha
BSc. in Computer Science
University of Castilla-La Mancha
Transportmetrica B: Transport Dynamics
arXiv
The 24th Conference of the International Federation of Operational Research Societies (IFORS 2026)
The 24th Conference of the International Federation of Operational Research Societies (IFORS 2026)
XXXI Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2025)
Research, teaching, and moments from academic life.
The Abertis Foundation awarded first prize in the doctoral thesis category to my research on machine learning and sustainable mobility.
Read articleNext March 4th, 2024, I will be presenting 'Can machine learning methods effectively model travel mode choice? Beyond predictive performance' at …
Read articleOn Friday, July 7, 2023, I successfully defended my doctoral thesis titled 'Machine learning methods applied to transport demand modelling,' …
Read articleIf you have an idea, a question, or an academic proposal, I would be glad to hear from you.