Tez profile

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


About
Academic CV
I am a postdoctoral fellow in the professor Karen E. Wilcox's group at the Oden Institute, University of Texas at Austin.

In the last years I focused on the development of non-intrusive data-driven reduced order methods (ROMs) such as proper orthogonal decomposition with interpolation (PODI) and dynamic mode decomposition (DMD), 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 using kernel and local methods, developing kernel-based active subspaces and local active subspaces, respectively.

I received the 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

Featured Publications
See all publications
Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering [ bib | DOI | arXiv ]
Francesco Romor, Marco Tezzele, Markus Mrosek, Carsten Othmer, Gianluigi Rozza
Submitted, 2021.


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

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 ]



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)