José Ángel Martín Baos

🧑‍💻️

Assistant Professor (PhD)

About Me

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.

Interests

Machine Learning
Artificial Intelligence
Optimization
Discrete Choice Models

Education

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

Recent Publications

José Ángel Martín-Baos, Ricardo García-Ródenas, Luis Rodriguez-Benitez, Michel Bierlaire (2025). Scalable kernel logistic regression with Nyström approximation: Theoretical analysis and application to discrete choice modelling. Neurocomputing.

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José Ángel Martín-Baos, Ricardo García-Ródenas, María Luz López-García, Luis Rodriguez-Benitez (2024). PyKernelLogit: Penalised maximum likelihood estimation of Kernel Logistic Regression in Python. Software Impacts.

PDF Cite Code DOI URL Code Ocean

Nikola Bešinović, Ricardo García-Ródenas, María Luz López-García, Julio Alberto López-Gómez, José Ángel Martín-Baos (2024). The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach.

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E. Del Castillo-Herrera, R. García-Ródenas, L. Jimenez-Linares, M. L. López-García, J. A. López-Gómez, J. A. Martín-Baos, J. Moreno-Garcia, D. Muñoz-Valero, L. Rodriguez-Benitez, E. A. Villarrubia-Martin (2024). ROBIN: Rail mOBIlity simulatioN. Transportation Research Procedia.

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José Ángel Martín-Baos, Julio Alberto López-Gómez, Luis Rodriguez-Benitez, Tim Hillel, Ricardo García-Ródenas (2023). A prediction and behavioural analysis of machine learning methods for modelling travel mode choice. Transportation Research Part C: Emerging Technologies.

PDF Cite Code DOI URL ArXiv preprint

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