Luzzani Gabriele

Gabriele Luzzani is pursuing a Ph.D. in collaboration with Politecnico di Torino and Leonardo s.p.a which focuses on studying and developing a real-time pilot performance monitoring system. He obtained his bachelor’s and master’s degree in aerospace engineering, both cum laude at the Politecnico di Torino, specializing in Aeromechanics and Systems. He also followed the master’s double degree program “Alta Scuola Politecnica” together with the Politecnico di Milano. His research interest is related to human factors applied to the Human-Machine Interaction systems (HMI) in the aeronautical field, especially in an optic of a possible future transition towards the so-called Single Pilot Operations (SPOs). In particular, he is studying the relationship between the variation of pilots’ physiological signals and their stress and mental workload levels. His research project aims to develop an AI-based predictive model that can infer the real-time pilot physical and cognitive state of health starting from a physiological multimodal approach. Gabriele Luzzani also collaborates with the startup Pipein as a project consultant.

E-mail: gabriele.luzzani@polito.it

Data Analysis
Machine Learning
Biomedical Signal Processing
Research and Project Management
Modeling and Simulation

External links:

Ph.D. Student - Biomedical Systems