Francesco Di Fiore

PhD Student in Ingegneria Aerospaziale , 36th cycle (2020-2023)
Department of Mechanical and Aerospace Engineering (DIMEAS)



Research topic

Multidisciplinary design optimization, multifidelity methods, physics-based machine learning.


Research interests

Concurrent Engineering / Aerospace Systems Engineering
Design and Analysis of Aircraft and RPAS
Hypersonic Vehicles / Reusable Access to Space and Re-Entry Systems


Francesco Di Fiore is a PhD candidate in aerospace engineering at Politecnico di Torino. His research ranges from developing advanced multidisciplinary and multifidelity methods for accelerated high-fidelity design optimization and diagnostics to applying those techniques to the design of aircraft, re-entry vehicles, and other engineering systems. His research on those themes has appeared or is forthcoming in leading journals of aerospace engineering and computational science including Nature Scientific Reports, AIAA Journal, Structural and Multidisciplinary Optimization, and more. Francesco has presented his academic works in numerous international conferences such as the AIAA SciTech 2021 and 2023, AIAA Aviation 2022 and 2023, WCSMO 2021, ECCOMAS 2022, WCCM 2022, ECT 2022, GIMC SIMAI 2022, IACM CFC 2023, and MARINE 2023. Francesco has undertaken research activities of relevance and leveraged by NATO STO AVT-331 RTG on goal-driven, multi-fidelity approaches for military vehicle system-level design and AVT-354 RTG on multi-fidelity methods for military vehicle design, and collaborated with international communities and investigators from United States, Turkey, United Kingdom, Switzerland, and Italy.


ERC sectors

PE8_1 - Aerospace engineering


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