Giovanni Fantuzzi
W1 Professor at FAU Erlangen-Nürnberg
Erlangen, Bavaria, Germany
Summary
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Senior🎓
Top SchoolGiovanni Fantuzzi is a W1 Professor in Data Science at FAU Erlangen-Nürnberg with a decade of interdisciplinary research blending optimization, dynamical systems, fluid mechanics and PDE analysis. Trained at Imperial College (MEng, PhD) and shaped by fellowships at WHOI and Imperial, he develops mathematical and numerical tools to study nonlinear differential equations and derive provable a priori scaling laws for transport problems. His recent work focuses on constructing numerical schemes that provably approximate global optimizers of PDE-constrained problems and on fast algorithms for large-scale structured convex and polynomial optimization. An active contributor to open-source optimization tooling, he extended MATLAB’s widely used YALMIP to support the CDCS solver, reflecting a practical commitment to reproducible computational science. Based in Erlangen, he combines rigorous analysis with solver-level engineering to bridge theory and scalable computation.
10 years of coding experience
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering at Imperial College London
Stackoverflow
11reputation
880reached
1answer
0questions
Github Skills (4)
solver10
matlab10
optimization10
delphi6
Programming languages (3)
Github contributions (5)
yalmip/YALMIP
Sep 2016 - Mar 2017
MATLAB toolbox for optimization modeling
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 commits, 2 PRs, 3 comments in 5 months
Contributions summary:Giovanni primarily contributed to integrating the CDCS solver within the YALMIP MATLAB toolbox. Their work involved adding support for CDCS, modifying existing solver settings, and changing variable names to match CDCS conventions. They also fixed a bug related to debug mode and added new problem codes. These changes indicate an effort to extend YALMIP's capabilities by incorporating and improving support for a specific solver.
matlab-toolboxmatlabtoolboxoptimizationmodeling
aeroimperial-optimization/mpYALMIP
Aug 2016 - Apr 2021
Contributions:3 releases, 26 commits, 1 PR in 4 years 8 months
multiple-precisionprecisiongmpsolver
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