On March 4th, 2024, I will give a talk at the NeEDS online seminar series
Written by
José Ángel Martín Baos
I am excited to announce that on March 4, at 16:30 CET, I will be taking part in the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, hosted by Emilio Carrizosa, Dolores Romero Morales, and Nuria Gómez Vargas. During this session, I will be presenting “Can machine learning methods effectively model travel mode choice? Beyond predictive performance”. This presentation is the result of a collaborative effort alongside Ricardo García Ródenas, Luis Rodríguez Benítez, Julio Alberto López Gómez, and Tim Hillel. More details and registration are available on the seminar website.
View the announcement on LinkedIn.
About the seminar series
Machine Learning NeEDS Mathematical Optimization is an online seminar series, organized by Emilio Carrizosa (IMUS – Instituto de Matemáticas de la Universidad de Sevilla) and Dolores Romero Morales (CBS – Copenhagen Business School) with the collaboration of PhD Students Nuria Gómez-Vargas (IMUS) and Thomas Halskov (CBS). One of the goals of this activity is to brand the role of Operations Research in Artificial Intelligence with the support of EURO.
This series includes a number of presentations from leading academics in the field of Data Science and Analytics that will cover important topics such as explainability, fairness, fraud, privacy, etc. Mathematical Modeling and Mathematical Optimization will be at the core of their presentations. We also have the YOUNG Online Seminar Series “Machine Learning NeEDS Mathematical Optimization”. In each YOUNG session, three junior academics will show their latest results in this burgeoning area.
The format is a weekly session that takes place every Monday, at 16.30 (CET), and has been active since January 11, 2021. It is 100% online-access, and it has speakers from around the globe. The Online Seminar Series is free thanks to the funding the EU gives to our H2020 MSCA NeEDS project, as well as the support given by Universidad de Sevilla (US) and Copenhagen Business School (CBS). This support is gratefully acknowledged.
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.