Ongoing research projects


ML4DAC: Machine Learning and Optimization Methods for the Design of Aerodynamic Components Leveraging Industrial Data Lakes
The project is done in collaboration with MORFO design and focuses on the integration of machine learning techniques with optimization methods to improve the design process of aerodynamic components. The objective is to extract meaningful patterns from industrial data for the training of surrogate models capable of accurately predicting the aerodynamic behavior of the components. [Read more about MORFO design.]



Past research projects


AIRC 2021
The AIRC 2021 ... [Read more.]



AIMS
Artificial Intelligence for the Management of Shifts [Read more.]



Optimal Sea Factory 2020
The Optimal Sea Factory 2020 ... [Read more.]



Sii Mobility
Multi-Objective Route Planning on Multimodal Networks[Read more.]