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.
Development of machine learning models using images collected by drones.
Machine learning techniques for earthquakes and environmental pollution time series forecasting.
Development of predictive models and data analytics to help making decisions in different processes related to the construction.
Analysis and development of predictive models applied to forecasting of relevant variables in the electric market.
Support and development of data analytics systems to help making decisions for water supply and urban consumption scenarios.
Research and development of complex machine learning algorithms to provide accurate predictions for the evolution of the olive fly pest agent.