Franco Concli is an Associate Professor at the Faculty of Engineering.
He has been awarded the Applied Sciences 2023 Early Career Investigator
Award. He was previously recognized as one of the World’s Top 2%
Scientists by Stanford University for the years 2021–2022 and has made
significant contributions to the field of Mechanical and Industrial
Engineering. He received his Master of Science Degree in Mechanical
Engineering in 2009 at Politecnico di Milano, Italy. He developed his MD
thesis about structural damages of helicopter gearboxes
(Agusta-Westland). He graduated with a Ph.D. (European Label, with merit) on the 27
March 2013, at Politecnico di Milano. The title of his Ph.D. thesis is
“Efficiency of gear transmissions and CFD Analysis of load-independent
power losses". In 2012, he had a research fellowship at the FZG Dept. of
the TU Munich, and in 2013 a Post. Doc. position at the mechanical
department of Politecnico di Milano (ENI). His research fields include
the development of CFD tools for the prediction of power losses, thermal
regimes, and efficiency of gearboxes and FEM modeling.
Franco Concli is an Associate Professor at the Faculty of Engineering.
He has been awarded the Applied Sciences 2023 Early Career Investigator
Award. He was previously recognized as one of the World’s Top 2%
Scientists by Stanford University for the years 2021–2022 and has made
significant contributions to the field of Mechanical and Industrial
Engineering. He received his Master of Science Degree in Mechanical
Engineering in 2009 at Politecnico di Milano, Italy. He developed his MD
thesis about structural damages of helicopter gearboxes
(Agusta-Westland). He graduated with a Ph.D. (European Label, with merit) on the 27
March 2013, at Politecnico di Milano. The title of his Ph.D. thesis is
“Efficiency of gear transmissions and CFD Analysis of load-independent
power losses". In 2012, he had a research fellowship at the FZG Dept. of
the TU Munich, and in 2013 a Post. Doc. position at the mechanical
department of Politecnico di Milano (ENI). His research fields include
the development of CFD tools for the prediction of power losses, thermal
regimes, and efficiency of gearboxes and FEM modeling.