Short Bio
Andrea Ghezzi was born in Bergamo, Italy, in 1996. He obtained his Master degree cum laude in Automation and Control Engineering from Politecnico di Milano with a thesis about stochastic MPC with constraint prioritization. From December 2020 to September 2021 he was a researcher at Data Science R&D Department of Tenaris Dalmine, working on virtual sensing for improving the steel making process. From October 2021 he joined SYSCOP Laboratory at University of Freiburg, carrying out a PhD under the supervision of Prof. Dr. Moritz Diehl. He is a Marie-Curie fellow of the ELO-X project.
Visiting Periods
- Nov - Dec 2022: Dr. Jonas Asprion at Tool Temp AG, Sulgen (CH) - within the ELO-X framework
- Working on estimation and dual control for temperature control unit, together with Léo Simpson.
- Oct - Nov 2023: Prof. Alberto Bemporad at IMT Lucca (IT) - within the ELO-X framework
- Jan - May 2024: Dr. Stefano Di Cairano at Mitsubishi Electric Research Laboratories (MERL), Cambridge (MA, USA) - within the ELO-X framework
- Jun - Aug 2024: Dr. Sven Leyffer at Argonne National Laboratory, Lemont (IL, USA) - within the ELO-X framework
Research Interests
- Mixed-integer nonlinear programming and applications to optimal control
- Intersection of nonlinear model predictive control and learning methods
- Programming and open-source software
- Dual control and optimization-based estimation
Recent preprints
- April 2024: "A sequential Benders-based mixed-integer quadratic programming algorithm". A. Ghezzi *, W. Van Roy *, S. Sager, M. Diehl, (* equal contribution). https://arxiv.org/abs/2404.11786 submitted for publication
- June 2024: "AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control". R. Reiter, A. Ghezzi, K. Baumgaertner, J. Hoffmann, R. D. McAllister, M. Diehl. https://arxiv.org/abs/2406.03995 submitted for publication
Software projects
Teaching
Links