Giovanni Fantuzzi

Prof. Dr. Giovanni Fantuzzi

Email • PhD in Aeronautics, Imperial College
Optimization, dynamical systems, fluid mechanics, and partial differential equations (PDEs)

W1 Professor | Senior Scientist
Room 03.318 | FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship
FAU MoD member, Research Center for Mathematics of Data
Friedrich-Alexander-Universität Erlangen-Nürnberg
Naturwissenschaftliche Fakultät. Department Mathematik

ORCID | Google Scholar | LinkedIn | X

I am a W1 Professor in the Department of Mathematics at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg.

Before joining FAU, I held an Imperial College Research Fellowship in the Department of Aeronautics, where I also received a PhD and a Master Eng. in Aeronautics degrees.
Alongside my PhD, I held a research position in Engineering Science at the University of Oxford.
I was awarded a Geophysical Fluid Dynamics Fellowship at WHOI (2015) and an EPSRC Doctoral Prize Fellowship (2018).

• PhD Thesis: Construction of optimal background fields using semidefinite programming (May 2018)

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Research interests

My work spans optimization, dynamical systems, fluid mechanics, and partial differential equations (PDEs).
In particular, I seek to study nonlinear differential equations using a mix of mathematical analysis and numerical tools for convex optimization.
I used this multidisciplinary approach to derive a priori scaling laws for heat transport problems and, more recently, to construct numerical schemes that provably approximate global optimizers of nonlinear PDE-constrained problems.
I am also interested in developing fast algorithms for large-scale optimization problems with structure, especially conic problems and polynomial optimization problems.

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Projects

DTN ModConFlex. Modelling and control of flexible structures interacting with fluids (2023 – 2027)

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Awards

• Geophysical Fluid Dynamics Fellowship (2015) WHOI
• EPSRC Doctoral Prize Fellowship (2018) Imperial College London

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Academy

• WS 24/25: Data-driven methods for dynamical systems (2024 – 2025)
• WS 24/25: Polynomial optimization and applications (2024 – 2025)
• WS 23/24: Data-driven methods for dynamical systems (2023 – 2024)
• WS 23/24: Polynomial optimization and applications (2023 – 2024)
• WS 22/23: Conic Optimization and Applications. Lectures and exercises (2022 – 2023)
• WS 22/23: Mathematik für Ingenieure B1. Exercise class in English (2022 – 2023)

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Posts on Math & Research

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News / Initiatives

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Publications

My publications @FAU-CRIS

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