Stochastic partial differential equations (SPDEs) represent a dynamic and rapidly evolving field in probability theory. This area has been growing steadily in the past 30 years, providing new techniques for analyzing complex systems whose behaviour is subject to random perturbations. SPDEs can be used for modelling a wide range of physical phenomena, encountered in statistical mechanics, mathematical physics, theoretical neuroscience, fluid dynamics and mathematical finance.

The workshop will bring together internationally renowned researchers working on various topics related to the theory and applications of SPDEs, to exchange the latest results and generate novel ideas for research directions and applications.

The talks will delve into the latest developments in SPDE theory, highlighting the most recent advancements. Topics may include, but are not limited to: existence and uniqueness of solutions, regularity properties, large deviations, numerical approximations, %the study of regularity structures, and emerging applications of SPDEs in real-world scenarios.

Speakers

• Hakima Bessaih, Florida International University
• Le Chen, Auburn University
• David Cohen, Chalmers University of Technology
• Alexander Dunlap, Duke University
• Ioannis Gasteratos, TU Berlin
• Yi Han, Massachusetts Institute of Technology
• Yaozhong Hu, University of Alberta
• Jingyu Huang, University of Birmingham
• Juan Jimenez, University of Ottawa
• Davar Khoshnevisan, University of Utah
• Carlo Marinelli, University College London
• Cecilia Mondaini, Drexel University
• Carl Mueller, University of Rochester
• Eulalia Nualart, Universitat Pompeu Fabra
• Cheng Ouyang, University of Illinois at Chicago
• Lluis Quer-Sardanyons, Universitat Autonoma de Barcelona
• Jian Song, Shandong University
• Mark Veraar, Delft University of Technology
• Panqiu Xia, Cardiff University
• Yimin Xiao, Michigan State University
• Kazuo Yamazaki, University of Nebraska
• Wangjun Yuan, Southern University of Science and Technology
• Guangqu Zheng, Boston University

Poster: