Daniele Massaro

PhD student in Fluid Mechanics at the FLOW centre, KTH Royal Institute of Technology in Stockholm, Sweden. My project aims to investigate transitional and turbulent flows through direct numerical simulations and the use of the adaptive mesh refinement technique.

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About Me

Originally from Verona, I hold a Bachelor and Master of Science in Aerospace Engineering from Politecnico di Milano. During my Master's thesis, I conducted research on the stability of wall-bounded flows with spanwise forcing, under the supervision of Prof. Maurizio Quadrio. Currently, I am pursuing my PhD in computational fluid dynamics at KTH Royal Institute of Technology in Stockholm, Sweden, with advisors Prof. Philipp Schlatter and Lect. Saleh Rezaeiravesh.


Contact Details

Daniele Massaro
KTH Royal Institute of Technology
SimEx/FLOW, Engineering Mechanics
18, Osquars backe
Stockholm, 114 28
SWEDEN
dmassaro@kth.se

Research

Interests

My interests have been diverse since high school, including philosophy, history, and natural sciences. Despite following a scientific path, I maintain my passion for humanistic arts and literature mostly by indulging in classic novels (below are a few recommendations). During my studies, I developed a theoretical approach, largely influenced by mathematically oriented courses like functional and complex analysis at Politecnico di Milano. My education included classes on various topics, such as rotary wing dynamics, spacecraft orbit characterisation and structural design of aerospace structures. Of all the subjects I studied, I found fluid mechanics to be the most fascinating, as it combines elements of mathematics, physics, and engineering.

My journey into the field of turbulence began with a Master's thesis on stability and transition delay. During my PhD, I delved into the study of wall turbulence and coherent structures through the use of high-order spectral element method and adaptive mesh refinement in direct numerical simulations. To gain a deeper understanding, we utilized established techniques, such as Proper Orthogonal Decomposition (POD), and cutting-edge methods, like transfer entropy from Information Theory (IT), to uncover new mechanisms in transitional and turbulent flows.

Some other areas of interest that I have explored or may look into in the future include wind turbine design, biological flows, adjoint-based optimization and vortex reconnections.

Teaching

KTH

Teaching assistant

  • Mekanik I (Classical Mechanics) - 2020, 2021
  • Strömningsmekanik (Fluid Mechanics) - 2021, 2022, 2023
  • Teknisk strömningsmekanik (Fluid Mechanics for Engineers) - 2021, 2022, 2023, 2024
  • Supervision of Master thesis - 6 months in 2021

A Few Of My Suggested Readings and Videos