Dr. Wonjung Lee（李源中博士）
北京师范大学&北师港浸大
Dr. Wonjung Lee received the Ph.D. degree in mathematics from Courant Institute of Mathematical Sciences, New York University, U.S., in 2009.
Abstract 摘要
Because the existence of cheap emulators can give rise to potentially drastic computational savings as compared to direct numerical simulations of complex turbulence models, the study of reduced models has good practical relevance, and the guidelines regarding their construction from the true dynamical system model are much in demand. In accordance with this contemporary trend in science and engineering, we provide a new approach for the rigorous derivation of the simplified model from the one-dimensional Majda-McLaughlin-Tabak (MMT) prototypical wave turbulence. We also discuss the application of the reduced-order model approach to filtering, which refers to the sequential estimation of the turbulent signal based on available noisy observations.
Speaker Biography 讲者简介
Dr. Wonjung Lee received the Ph.D. degree in mathematics from Courant Institute of Mathematical Sciences, New York University, U.S., in 2009. Before joining Beijing Normal University at Zhuhai and BNU-HKBU United International College, in 2022, he worked at University of Warwick and University of Oxford, U.K., and City University of Hong Kong, China. His research interest is nonlinear stochastic behaviour of physical systems, focusing on Wave turbulence and Data assimilation. He is also working at Rough path based numerical algorithm and Physics-informed machine learning