Marco Tezzele marco.tezzele@austin.utexas.edu | | | | |

About

Academic CV

I am a postdoctoral fellow in the professor Karen Wilcox's group at the Oden Institute, University of Texas at Austin. I work within the fields of applied mathematics, scientific machine learning, and digital twins. My research interests include the development of data-driven reduced order methods and parameter space reduction techniques. Currently I am working on a NASA's University Leadership Initiative project, developing a predictive digital twin of an autonomous drone used for cargo missions in an urban environment. This integrates reduced order modelling, uncertainty quantification, and real-world applications with economic and societal impacts.

In the last years I focused on the development of non-intrusive reduced order methods such as proper orthogonal decomposition with interpolation and dynamic mode decomposition, with applications in naval, nautical, biomedical, and automotive engineering. This resulted in the creation of several scientific Python packages. We also coupled ROMs with reduction in parameter space using active subspaces (AS). We studied the effect of incorporating low-intrisic dimensionality bias in a multi-fidelity setting to enhance regression and solution manifold reconstruction. In the last few years we also extended AS developing kernel-based active subspaces and local active subspaces.

I received my Ph.D. in Mathematical Analysis, Modelling, and Applications at International School of Advanced Studies (SISSA), Trieste, Italy, where I was part of the SISSA mathLab group, under the supervision of professor Gianluigi Rozza. My industrial Ph.D. grant was sponsored by Fincantieri S.p.A. (see the project here). The topic was the structural optimization of a passenger ship during the design step through parametric techniques and computational reduction.

News, Awards,
and Funding

See all news

Check out my Medium profile!

[22-26 May 2023] Invited speaker at the International Workshop on Reduced Order Methods, Institute for Mathematical Sciences, National University of Singapore. [23 March 2023] Invited speaker at the University of Houston, Department of Mathematics. Host: Annalisa Quaini. Abstract. [26 February - 3 March 2023] I will be in Amsterdam at SIAM CSE23. Reach me out if you want to meet! [6-7 February 2023] I will be in Charleston, WV for the Autonomous Aerial Cargo Operations at Scale CONOPS Roundtable. [January 2023] Winner of the Early Career Travel Award for the 2023 SIAM Conference on Computational Science and Engineering (SIAM CSE23). [November 2022] Presenter at SIAM TX-LA Section meeting in Houston and co-organizer of a minisymposium. [October 2022] Check out this profile article in the Oden Institute Newsletter! [September 2022] Presenter at SIAM MDS 2022 in San Diego and co-organizer of a minisymposium. [September 2022] Invited speaker at the Emory University, Department of Mathematics and Computer Science. Host: Alessandro Veneziani. [11-15 July 2022] Invited speaker at the Summer School on Reduced Order Methods in Computational Fluid Dynamics, SISSA, Trieste, Italy. [June 2022] Check out this article appeared in the ECCOMAS newletter, describing the major results of my PhD thesis. [June 2022] Winner of one of the two ECCOMAS best PhD Thesis Awards in the field of Computational Methods in Applied Sciences and Engineering of 2021 (announcement). Ceremony held in Oslo, Norway, at ECCOMAS Congress 2022.

Featured Publications

See all publications

A multi-fidelity approach coupling parameter space reduction and non-intrusive POD with application to structural optimization of passenger ship hulls [ bib | DOI | arXiv ] Marco Tezzele, Lorenzo Fabris, Matteo Sidari, Mauro Sicchiero, Gianluigi Rozza International Journal for Numerical Methods in Engineering, 124(5):1193–1210, 2023.

Kernel-based active subspaces with application to computational fluid dynamics parametric problems using discontinuous Galerkin method [ bib | DOI | arXiv ] Francesco Romor, Marco Tezzele, Andrea Lario, Gianluigi Rozza International Journal for Numerical Methods in Engineering, 123(23):6000–6027, 2022.

A local approach to parameter space reduction for regression and classification tasks [ bib | DOI | arXiv ] Francesco Romor, Marco Tezzele, Gianluigi Rozza Submitted, 2021.

On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis [ bib | DOI | arXiv ] Mahmoud Gadalla, Marta Cianferra, Marco Tezzele, Giovanni Stabile, Andrea Mola, Gianluigi Rozza Computer & Fluids, 216:104819, 2021.

Student Mentoring

[2021-] Valentyn Visyn. PhD student at University of Texas at Austin, US. [2022-2023] Matteo Torzoni. Visiting PhD student (6 months). Digital twins for monitoring of civil structures. Politecnico di Milano, Italy. [2020-2021] Eleonora Donadini. Master Thesis: A data-driven approach for time-dependent optimal control problems by dynamic mode decomposition, University of Trieste, Italy. [2019] Francesco Romor. Master Thesis: Reduction in Parameter Space for Problems approximated by Discontinuous-Galerkin Method in Computational Fluid Dynamics, University of Trieste, Italy. [2018] Mahmoud Gadalla. Project: PRELICA - Advanced Methods for Hydro-Acoustic Design of Naval Propulsion, POR-FESR 2017, FVG, Italy. [2018] Aurora Maurizio. Master in HPC Thesis: Representation of distribution networks of ships using graph-theory, SISSA & ICTP, Trieste, Italy. [2018] Fabrizio Garotta. Master Thesis: Reduced Order Isogeometric Analysis approach for PDEs in parametrized domains, University of Pavia, Italy. [2017] Nicola Demo. Project: Bulbous Bow Shape Optimization through Reduced Order Modelling, HEaD FSE, FVG, Italy.

Software

PyDMD: Python Dynamic Mode Decomposition. [ github | docs | DOI ]

PyGeM: Python Geometrical Morphing. [ github | docs | DOI ]

EZyRB: Easy Reduced Basis method. [ github | docs | DOI ]

BladeX: Python Blade Morphing. [ github | docs | DOI ]

ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis. [ github | docs | DOI | Medium ]

Experience

Oden Institute for Computational Engineering and Sciences, UT Austin - Postdoctoral Fellow at Willcox Research Group - (2021-)

International School of Advanced Studies, SISSA - Assistant Researcher at SISSA mathLab - (2015-2018)

Education

International School of Advanced Studies, SISSA - Ph.D. Mathematical Analysis, Modelling, and Applications financed by Fincantieri S.p.A. - (2018-2021)

ICTP & SISSA - Master in High Performance Computing - (2014-2015)

Technische Universität Kaiserslautern - ERASMUS Programme - (2012)

University of Milan - MSc Mathematics - (2010-2014)

University of Pavia - BSc Mathematics - (2006-2010)