Andrea Petrocchi
Since July 2020 I am a Ph.D. student in the group of Prof. Dr. Stefan Volkwein. In my Ph.D. I work on Model Order Reduction (MOR), in particular Reduced Basis (RB) methods, and PDE-constrained optimization. I also work on optimal input/experimental design.
This position is supported by the Austrian company The Virtual Vehicle Research GmbH, with title "Optimal Experimental Design for Large-Scale Inverse Problems using PDE-Constrained Optimization".
Research Topics
- PDE-constrained optimization
- Reduced Basis (RB) Models
- Optimal Input/Experimental Design
- Bayesian Inverse problems
- Application to Lithium-Ion batteries
Programming languages and software used:
- Matlab
- Python
- Latex
Teaching:
- Summer Term 2023: Supervision of the lecture "Optimierung IV" of Jun.-Prof. Dr. Behzad Azmi together with Michael Kartmann
Spoken languages:
- Italian (mother tongue)
- English (complete)
- German (intermediate)
- Russian (basic)
Publications:
- Optimal experimental design for large-scale inverse problems via multi-PDE-constrained optimization
A. Petrocchi, M.K. Scharrer, F. Pichler and S. Volkwein
Submitted, 2024 - Adaptive Parameter Optimization For An Elliptic-Parabolic System Using The Reduced-Basis Method With Hierarchical A-Posteriori Error Analysis
Andrea Petrocchi, Behzad Azmi and Stefan Volkwein.
Submitted, 2023 - Adaptive reduced basis methods for PDE-constrained optimization and optimal input design
Andrea Petrocchi, Matthias K. Scharrer and Stefan Volkwein.
Technical Report, University of Konstanz, Konstanzer Schriften in Mathematik, 2022 - Trust-Region RB Methods for PDE-Constrained Optimization and Optimal Input Design
Andrea Petrocchi, Matthias K. Scharrer and Stefan Volkwein.
IFAC-PapersOnLine, Volume 55, Issue 26, Pages 149-154, 2022