Deterministic and Stochastic Evolution Equations

Partial differential equations, or PDEs, are fundamental mathematical tools used to describe how quantities evolve in space and time. They arise naturally in physics, biology, engineering, finance, and many other fields, modeling a large class of phenomena such as heat diffusion, fluid motion, wave propagation, population dynamics, and material behavior. Stochastic partial differential equations, or SPDEs, extend this framework by incorporating randomness, allowing one to model systems influenced by uncertainty, noise, or irregular external effects. Together, PDEs and SPDEs provide a powerful language for understanding both deterministic and random evolution processes, linking rigorous mathematical analysis with a wide range of real-world applications. This three-day conference brings together prominent researchers in mathematical analysis and probability to discuss recent developments in the theory of deterministic and stochastic evolution equations.

Viorel Barbu | Octav Mayer Institute of Mathematics of the Romanian Academy
Davide Augusto Bignamini | Università degli Studi dell’Insubria
Stefano Bonaccorsi | Università di Trento
Piermarco Cannarsa | Università degli Studi di Roma “Tor Vergata”
Iulian Cîmpean | University of Bucharest
Fulvia Confortola | Politecnico di Milano
Arnaud Debussche | École Normale Supérieure de Rennes
Marco Fuhrman | Università degli Studi di Milano
Benjamin Gess | Technische Universität Berlin and Max Planck Institute for Mathematics in the Sciences
Massimiliano Gubinelli | University of Oxford
Mimmo Iannelli | Università di Trento
Catalin Lefter | “Alexandru Ioan Cuza” University of Iași
Gabriela Marinoschi | “Gheorghe Mihoc-Caius Iacob” Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy
Federica Masiero | Università degli Studi di Milano-Bicocca
Giorgio Metafune | Università del Salento
Carlo Orrieri | Università di Pavia
Enrico Priola | Università di Pavia
Luca Scarpa | Politecnico di Milano
Margherita Zane | Politecnico di Milano

IMG: GenA