Francesco Marino

Ph.D. candidate in Ingegneria Aerospaziale , 37th cycle (2021-2024)
Department of Mechanical and Aerospace Engineering (DIMEAS)



Research topic

PHM in aviation: Incident detection, assessment, and prediction using data-driven methods.


Research interests

Autonomous Aerial Vehicles
Concurrent Engineering / Aerospace Systems Engineering
Sensors Integration and Avionics / Systems Modelling and Simulation
Structural Health Monitoring


Francesco Marino is pursuing his PhD in Aerospace Engineering at Politecnico di Torino. With a focused interest in the applications of Data Science, he is actively working at Lufthansa Technik on Predictive Maintenance topics. His research pursuits notably include data-driven modeling, domain generalization, decision-making, and uncertainty estimation within Deep Learning. The research areas mentioned also have implications in additional fields, such as autonomous robotics and scenarios where autonomous decision-making is critical. In addition to his academic and professional work, he is a member of the Flight Mechanics and Simulation Research Team at Politecnico di Torino, further solidifying his commitment to the exploration and advancement of aerospace technologies.


Research groups


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