Research and development of complex machine learning algorithms to provide accurate predictions for the evolution of the olive fly pest agent.
Support and development of data analytics systems to help making decisions for water supply and urban consumption scenarios.
Analysis and development of predictive models applied to forecasting of relevant variables in the electric market.
Development of predictive models and data analytics to help making decisions in different processes related to the construction.
Development of a IoT-oriented infrastructure and systems to connect devices and processing of messages scaled for Big Data.
Design, development and validation of an integrated and modular system configured as a platform for the optimization of port logistics process, providing solutions to the needs of the different interfaces in port environments.
Optimización de la conservación de la infraestructura ferroviaria para transporte urbano (ITC-20151078)
Principal Investigator: Francisco Martínez Álvarez