Marco Tezzele marco.tezzele@emory.edu | | | | |

About

Academic CV

Welcome! I am an Assistant Professor in the Department of Mathematics at Emory University and a member of Emory’s Scientific Computing Group.

Prior to joining Emory, I was a postdoc in Karen Willcox's group at the Oden Institute for Computational Engineering and Sciences, University of Texas at Austin. I received my Ph.D. in Mathematical Analysis, Modelling, and Applications at the International School of Advanced Studies (SISSA), Trieste, Italy, where I was part of the SISSA mathLab group, under the supervision of Gianluigi Rozza.

My research interests include digital twins, data-driven reduced order methods, parameter space reduction techniques, scientific machine learning, and structural optimization in naval engineering.

News, Awards,
and Funding

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[September 2024] I joined the Mathematics Department at Emory University as Assistant Professor, tenure-track!

[August 2024] Check out this piece on Society for Industrial and Applied Mathematics (SIAM) News about digital twins where Steven Carr, Ufuk Topcu, Karen Willcox, and I discuss the use of graphical models, parametric Markov decision processes, and dynamic belief updates to build a risk-averse structural digital twin of an aerial vehicle.

[February 2024] Check out this piece on Digital Twins of civil engineering structured in the Oden Institute Newsletter!

[22-24 November 2023] Check out the posters presented at MORTech 2023 by two students I co-supervised:
- Lorenzo Fabris (pdf): Structural optimization of cruise ships with non-intrusive parameter and model order reduction.
- Matteo Torzoni (pdf): A computational framework for predictive digital twins of civil engineering structures. Winner of the Best Poster Award!

[26 June 2023] Winner of the Anile-ECMI Prize for Mathematics in Industry. Ceremony held in Wroclaw, Poland, at ECMI 2023. Press release: Oden Institute, SISSA, Fincantieri SpA.

[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

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Google Scholar profile
Scopus profile

A digital twin framework for civil engineering structures [ bib | DOI | arXiv ]
Matteo Torzoni, Marco Tezzele, Stefano Mariani, Andrea Manzoni, Karen E. Willcox
Computer Methods in Applied Mechanics and Engineering, 418, 116584, 2024.

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.

A DeepONet multi-fidelity approach for residual learning in reduced order modeling [ bib | DOI | arXiv ]
Nicola Demo, Marco Tezzele, Gianluigi Rozza
Advanced Modeling and Simulation in Engineering Sciences 10, 12, 2023.

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
International Journal for Numerical Methods in Engineering, 124(23):5293-5311, 2023.

Student Mentoring

[2023-] Sebastian Henao-Garcia. PhD student at The University of Texas at Austin, TX, US.

[2023-] Leonidas Gkimisis. Visiting Ph.D. student, Max Planck Institute Magdeburg.

[2022-] Lorenzo Fabris. PhD student at SISSA, Trieste, Italy.

[2022-2023] Valentyn Visyn. PhD student at The University of Texas at Austin, TX, 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 | arXiv ]

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

Department of Mathematics, Emory University - Assistant Professor, tenure-track - (2024-)

Oden Institute for Computational Engineering and Sciences, UT Austin - Postdoctoral Fellow at Willcox Research Group - (2021-2024)

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)