The aims of the congress is to facilitate interdisciplinary discussions at the convergence of optimal control theory and mean-field models.
This forum brings together mathematicians from different communities to explore the challenges and opportunities presented by large-scale systems.
The objective is to advance understanding of analytic and probabilistic aspects of mean-field models and multi-agent systems, fostering collaboration and pushing the boundaries of mathematical theory and applications in real-world scenarios.
Mean-Field models in optimal control
10-14 June 2024
Time left
Organizing & Scientific Committee:
- Annalisa Cesaroni (Università di Padova)
- Marco Cirant (Università di Padova)
- Alessio Porretta (Università di Roma Tor Vergata)
- Daniela Tonon (Università di Padova)
Speakers
- Martino Bardi (Università di Padova)
- Charles Bertucci (École Polytechnique, Paris)
- Fabio Camilli (Sapienza Università, Roma)
- Pierre Cardaliaguet (Université Paris Dauphine)
- Renè Carmona (Princeton University)
- Giovanni Conforti (École Polytechnique, Paris)
- Francois Delarue (Université Côte d’Azur, Nice)
- Daria Ghilli (Università di Pavia)
- Diogo A. Gomes (KAUST Saudi Arabia)
- Fausto Gozzi (Luiss, Roma)
- Jameson Graber (Baylor University)
- Ziad Kobeissi (Université Paris-Saclay)
- Pierre-Louis Lions (Collège de France, Paris)
- Paola Mannucci (Università di Padova)
- Nader Masmoudi* (NYU Abu Dhabi)
- Alpar Meszaros (Durham University)
- Sepideh Mirrahimi (Université de Montpellier)
- Emanuela Radici (Università dell’Aquila)
- Luca Rossi (Sapienza Università, Roma)
- Giuseppe Savaré (Università Bocconi, Milano)
- Ben Seeger (University of Texas Austin)
- H. Mete Soner (Princeton University)
- Panagiotis E. Souganidis (University of Chicago)
- Ariane Trescases (Université Paul Sabatier, Toulouse)