Teaching and Master Theses Support
LECTURER
Support Lecturer : Course of “Model order reduction and Machine Learning”, master degree in methematical engineering (Politecnico di Torino, 2022-ongoing).
Support Lecturer : Course of “Metodi e Modelli Numerici”, master degree in mechanical engineering (Politecnico di Torino, 2023-ongoing).
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
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”.
