Personal profile: Francesco De Vanna

As a seasoned computational fluid dynamicist with a strong focus on engineering applications, I bring extensive expertise to both external (aerodynamics) and internal (turbomachinery) applications. My professional skills are particularly honed in compressible flows, where I specialize in employing cutting-edge techniques such as Large Eddy Simulation and optimization methods for machine design. Currently Assistant Professor in Machines Fluid Dynamics (ING-IND/08) at the Department of Industrial Engineering of the University of Padova. 

Current positions

- 2023/- Professor for the course of "Machines Fluid Dynamics, 6 ECTF, B.Sc., Mechanical Eng., UniPD

- 2022/- Professor for the course of "Advanced Methods for Optimization of Machine Thermofluidodynamics", 5 ECTF, M.Sc. Mechanical Eng., UniPD

- 2020/- Professor for the couse of "Introduction to numerical methods for unsteady gas dynamics, Ph.D. Industrial Eng., UniPD

Previous positions

- 2020/2022 Adjunct Professor for the course of Laboratory of Computational Fluid Dynamics, 6 ECTF, M.Sc. Aerospace Eng, UniPD

- 2020/2023 Post-doctoral Fellow in Machines Fluid Dynamics at the Department of Industrial Engineering of the University of Padova

- 2018 Visiting Ph.D. at the École Nationale Supérieure de Mécanique et d'Aérotechnique (ENSMA), Poitier (FR) on super/hypersonic turbulent combustion

- 2016/2019 Ph.D. in Computational Fluid Dynamics with the dissertation "A high-resolution fully compressible Navier-Stokes solver for analysis of moving objects at high Mach numbers"

Research topics

Gas dynamics, turbomachinery, Large Eddy Simulations, high-performance computing, advanced numerical methods, GPU programming, vortex-induced vibration energy harvesting. 

Thesis activities proposals

- Numerical methods, turbulence modeling and CFD programming (Fortran/Python) on URANOS solver: https://github.com/uranos-gpu/uranos-gpu

- Optimal machine design via CFD-informed databases

- Energy harvesting throught self-excited oscillations in fluid flows