LECTURER

Lecturer : Ph.D. Course of “Model order reduction for parametric nonlinear problems: overview and applications” (Politecnico di Torino, 2025-2026).
Support Lecturer : Course of “Model order reduction and Machine Learning”, master degree in methematical engineering (Politecnico di Torino, 2022-2026).


Support Lecturer : Course of “Metodi e Modelli Numerici”, master degree in mechanical engineering (Politecnico di Torino, 2023-2026).


Lecturer : Basic course on reduced order modelling at “Summer School on Reduced Order Methods in Computational Fluid Dynamics (Second edition)”, SISSA, Trieste (July 2022).


Lecturer : Monographic Lecture on reduced order modelling for Optimal Control at “Summer School on Reduced Order Methods in Computa- tional Fluid Dynamics (Second edition)”, SISSA, Trieste (July 2022).


Support Lecturer : AMMA Phd- MHPC course on ”Reduced Order Methods for Computational Mechanics”, (SISSA, 2022).


Support Lecturer : Course of “Metodi e Modelli Numerici”, master degree in mechanical engineering (Politecnico di Torino, 2022).


Support Lecturer : Course of “Numerical Analysis”, master degree in Data Science and Scientific Computing (Università degli Studi di Trieste and SISSA, 2018).


Lecturer : Monographic Lecture on reduced order modelling for Optimal Control at “Summer School on Reduced Order Methods in Computa- tional Fluid Dynamics”, SISSA, Trieste (July 2019).

MASTER THESES

Advisor: Master degree in Mathematical Engineering of Luigi Donnarumma, Politecnico di Torino, Italy, (October 2026).
Thesis Title: "Data-driven turbulence closure models for RANS and URANS".

Co-advisor: Master degree in Escuela Técnica Superior de Ingeniería Aeronáutica y del Espacio, niversidad Politécnica de Madrid, Spain, (July 2026).
Tentative Thesis Title: “Reduced data-driven differential filers for convection-dominated Navier-Stokes Equations”.

Advisor: Master degree in Mathematical Engineering of Andrea Tataranni, Politecnico di Torino, Italy, (October 2024).
Thesis Title: “Physics Informed Neural Networks and Neural Tangent Kernel: preliminary results for parametric Optimal Control Problems”..

Co-advisor: Master degree in Data Science Engineering of Susanna Olivero, Politecnico di Torino, Italy, (October 2024).
Thesis Title: "Surrogate Models for Parametric PDEs via Graph-Informed Neural Networks".

Co-advisor: Master degree in Mathematical Engineering of Ilaria Anselmi, Politecnico di Torino, Italy, (October 2024).
Thesis Title: “Modellazione multi‐scala di un incendio in galleria”.

Co-advisor: Master degree in Mathematical Engineering of Carlotta Filippin, Politecnico di Torino, Italy, (October 2024).
Thesis Title: Nonlinear reduced-order modeling with a Graph Convolutional Autoencoder for time-domain electromagnetics".

Co-advisor: Master degree in Data Science and Scientific Computing of Eleonora Donadini, Università degli studi di Trieste, Italy, (May 2021).
Thesis Title: “A Data-Driven Approach for Time-Dependent Optimal Control Problems by Dynamic Mode Decomposition”.

Co-advisor: Master degree in Mathematics of Giuseppe Carere, Korteweg-de Vries Institute for Mathematics, the Netherlands, (January 2019).
Thesis Title: “Reduced Order Methods for Optimal Control Problems constrained by PDEs with random inputs and applications”.

Co-advisor: - Master thesis in Mathematics of Fabio Zoccolan, Università degli studi di Trieste, Italy, (December 2021).
Thesis Title: “Stabilised reduced order methods for advection-diffusion optimal control problems with random inputs”.