Jordi
Montero
García
Modeling and Simulation: Digital Twin Manager
Jordi
Montero

Jordi Montero García is a computer engineer and the technical manager of the Digital Twin and Simulation area at inLab FIB of the Polytechnic University of Catalonia (UPC). His research and professional work focus on the field of discrete simulation applied to systems forecasting and day-to-day operational management.

A Computer Engineering graduate of the UPC, he has extensive experience in developing and implementing customised simulation models to solve complex operational challenges, optimise decision-making and improve process efficiency.

As part of his work at the inLab FIB, he has collaborated with leading companies and organisations in the logistics, pharmaceutical, transport and services sectors, such as FRISELVA, the Damm Group, Almirall, Siemens, Agbar, TMB, the Port of Barcelona, INDRA and AENA. In these projects, he has designed and applied predictive tools and digital twins adapted to the specific needs of each client to respond effectively to high-risk situations.

Parallel to this, it has driven the research and development of tools based on new technologies applied to universal accessibility and inclusive mobility. In this area, its collaboration on technological innovation projects with public and social entities such as the Metropolitan Transport Authority (ATM), the Barcelona City Council’s Municipal Institute for People with Disabilities (IMPD) and the Association of People with Reduced Mobility, adapting digital solutions to ensure more accessible and equitable transport environments and servic

Final Degree Projects directed

Main projects directed

The company Friselva, together with the Alimentaria Guissona Corporation (bonÀrea) and with the participation of the inLab FIB from UPC as a technology center, is working on the Hydroless operational group project.
This project seeks to develop a machine learning model to identify risk situations before starting climbing with self-insurer, helping the staff of the center to detect dangers automatically and precisely.
Image processing and intelligent learning for the identification of parking spaces for people with reduced mobility.

Main projects participated

Project to support the development of theoretical concepts and practical tools applied to optimized routes in the field of on-demand transportation.
Development of a communication module between a SAMSUNG mobile terminal and different SAMSUNG wearable devices.
Analyze South Korea’s demographic patterns with a simulation tool called Yades.

Blog articles

Increasing ATM