Gabriele Luzzani

Dottorando in Ingegneria Aerospaziale , 37^o ciclo (2021-2024)
Dipartimento di Ingegneria Meccanica e Aerospaziale (DIMEAS)

gabriele.luzzani@polito.it

Profilo

Dottorato di ricerca

Titolo della tesi

Stress and Mental Workload Monitoring in Pilots Using a Physiological Signals Approach

Argomento di ricerca

Stress e carico cognitivo in aviazione: sviluppo di un sistema real-time di monitoraggio di piloti

Tutori

Interessi di ricerca

Aircraft Parameter Estimation

Concurrent Engineering / Aerospace Systems Engineering

Sensors Integration and Avionics / Systems Modelling and Simulation

Biografia

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.

Premi e riconoscimenti

Gabriele Luzzani's PhD research project, "Study and development of a real-time pilot monitoring system," has been awarded by the EASA - European Union Aviation Safety Agency at the first edition of the European_Academia@EASA_conference 2023. EASA recognised the quality and pertinence of his work in applying AI to the current challenges and novel technologies that lie ahead for aviation. (2023)

Ricerca

Gruppi di ricerca

Dinamica, controllo e simulazione del volo (DIMEAS)

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

Luzzani, G.; Buraioli, I.; Guglieri, G.; Demarchi, D. (2025)
EDA, PPG and Skin Temperature as Predictive Signals for Mental Failure by a Statistical Analysis on Stress and Mental Workload. In: IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY, vol. 6, pp. 248-255. ISSN 2644-1276
Contributo su Rivista
Luzzani, G; Buraioli, I; Demarchi, D; Guglieri, G (2024)
Preliminary study of pilot stress and mental workload monitoring through physiological signals. In: 13th EASN International Conference on: Innovation in Aviation & Space for opening New Horizons, Salerno, Italy, 05/09/2023 - 08/09/2023. ISSN 1742-6588
Contributo in Atti di Convegno (Proceeding)
Luzzani, G.; Buraioli, I.; Demarchi, D.; Guglieri, G. (2024)
A review of physiological measures for mental workload assessment in aviation. In: THE AERONAUTICAL JOURNAL, pp. 1-22. ISSN 0001-9240
Contributo su Rivista
Giglio, Enrico; Luzzani, Gabriele; Terranova, Vito; Trivigno, Gabriele; Niccolai, ... (2023)
An Efficient Artificial Intelligence Energy Management System for Urban Building Integrating Photovoltaic and Storage. In: IEEE ACCESS, vol. 11, pp. 18673-18688. ISSN 2169-3536
Contributo su Rivista
Luzzani, Gabriele; Buraioli, Irene; Demarchi, Danilo; Guglieri, Giorgio (2023)
Preliminary study of a pilot performance monitoring system based on physiological signals. In: Aerospace Europe Conference 2023 – 10th EUCASS – 9th CEAS, Lausanne (Switzerland), July 9-13, 2023
Contributo in Atti di Convegno (Proceeding)