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
