Contact details
Address
Northampton Square
London EC1V 0HB
United Kingdom
About
Overview
Currently at the first year of his Ph.D. program at City, University of London. The research topic consists in finding solutions to better understand and eventually control Turbulent Flows with Deep Learning techniques.
Previously, he obtained a B.Sc. in Aerospace Engineering and later a M.Sc. in Aeronautical Enigneering following the "Aerodynamics" exams track at Politecnico di Milano (PoliMi). He wrote his master thesis at the Karlsruhe Institutite of Technology with the Erasmus program, in which he took part in the devolopment of a Direct Numerical Simulation (DNS) code to evaluate the Drag Reduction of sinusoidal riblets in a turbulent channel flow.
Qualifications
- M.Sc. Aeronautical Engineering, Politecnico di Milano, Italy
- B.Sc Aerospace Engineering, Politecnico di Milano, Italy
Languages
English (can read, write, speak, understand spoken and peer review), Italian (can read, write, speak, understand spoken and peer review) and Spanish; Castilian (can read and understand spoken).
Research
Title of thesis: Deep Learning for Reduced Order Modelling of Wall Bounded, Turbulent Flows
Oct 2022
Summary of research
The research topic consists in finding solutions to better understand and eventually control Turbulent Flows with Deep Learning techniques.
Research students
1st supervisor
- Professor Alfredo Pinelli, Professor of Fluid Simulation
2nd supervisor
- Dr Daniel Chicharro, Lecturer in Computer Science