Sysorm 2019
Written by
José Ángel Martín Baos
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.
This meeting has taken place in El Escorial from 5th-7th of June 2019. The meeting, promoted by the Spanish Society of Statistics and Operations Research (SEIO), is organised for and by young researchers (young: with less than three years of postdoctoral experience). The scope of the meeting is to represent and give visibility to the newer generations of talented researchers in statistics and operational research, ranging from methodological to applied research topics, and to foster professional communication between them.
José Ángel Martín talking about a platform for monitoring air pollution and road traffic in cities #sysorm2019 pic.twitter.com/8Lra0As68B
— SYSORM2019 (@sysorm2019) 5 de junio de 2019
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.