The Abertis Foundation recognised on 30th September 2024 the best works in the field of transport infrastructure management and road safety in the XXI edition of the Abertis Awards for sustainable mobility. In the doctoral thesis category, the jury awarded the first prize to José Ángel Martín Baos, for his doctoral thesis titled “Machine learning methods applied to transport demand modelling”. This work focuses on the application of advanced machine learning (ML) techniques to optimise transport demand modelling, a crucial aspect for enhancing sustainable mobility and the planning and management of transport infrastructures.
Next March 4th, 2024, I will be presenting 'Can machine learning methods effectively model travel mode choice? Beyond predictive performance' at the Online Seminar Series Machine Learning NeEDS Mathematical Optimization
On Friday, July 7, 2023, I successfully defended my doctoral thesis titled 'Machine learning methods applied to transport demand modelling,' under the supervision of Professors Ricardo García Ródenas and Luis Rodríguez Benítez.
The MAT research group from the University of Castilla-La Mancha is developing a website to visualise and monitor the progress of COVID-19 disease in each country and autonomous community in the case of Spain.
This week I have attended the 2nd Spanish Young Statisticians and Operational Researchers Meeting (SYSORM) where I have presented a platform for monitoring air pollution an road traffic in cities.
