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:

• 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