Stochastic Partial Differential Equations (SPDEs) are a powerful tool for modeling complex systems in many fields such as physics, engineering, finance, and biology. The history of SPDEs dates back to the early 20th century when Kolmogorov introduced the concept of a stochastic process. Since then, there have been many important contributions to the field including the work of Martin Hairer who was awarded the Fields Medal in 2014 for his contributions to stochastic analysis and SPDEs.

This workshop aims to provide an introduction to SPDEs and their interactions in various topics including KPZ equation, Navier-Stokes equation, interacting particle systems, random fields, branching processes, etc. The workshop will bring together experts to talk about recent developments in SPDE, discuss research problems of mutual interest, and initiate new collaborations. Furthermore, for the development of young mathematicians, plenty of time is left for young scholars, including Postdocs, Ph.D. students, and even undergraduate students, to present their recent works.

Schedule

2023.4.22

9:30 - 10:20

Konstantin Khanin

University of Toronto

10:40 - 11:20

Xiangchan Zhu

朱湘禅

Chinese Academy of

Sciences

11:20 - 12:00

Timothée Bénard

University of Cambridge

14:00 - 14:40

Peisen Li

李培森

Beijing Institute of

Technology

14:40 - 15:20

Zhenyao Sun

孙振尧

Beijing Institute of

Technology

16:00 - 16:30

Ziyu Liu

刘子愉

Peking University

16:30 - 17:00

Houqi Su

苏厚奇

Chinese Academy of

Sciences

2023.4.23

9:30 - 10:20

Tadahisa Funaki

BIMSA

10:40 - 11:20

Fei Pu

蒲飞

Beijing Normal

University

11:20 - 12:00

Scott Smith

Chinese Academy of

Sciences