Aeronautical Production Engineering optimizes production in the aviation industry, incorporating sustainability and Industry 4.0 technologies, aiming to develop a smart platform for engineering services.
Predictive modeling of wind turbine failures through artificial intelligence-based learning techniques.
Efficient olive oil production models integrating all phases of obtaining olive oil in Andalusia, Spain.
Design and development of a system based on deep learning for detecting and classifying pavement damage at airports from drone images.
Design, development and validation of an integrated and modular system configured as a platform for the optimization of port logistics process.
Development of a IoT-oriented infrastructure and systems to connect devices and processing of messages scaled for Big Data.
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.