10月24日 王军平教授学术报告

发布时间:2016-10-21

题 目：Computational Challenges for a Coupled Surface and Subsurface Fluid Flow Problem in Multi-physics Environments

报告人：Dr. Junping Wang, Program Director, National Science Foundation

时 间： 10月24日（周五） 上午10：00-11：00

地 点：南校区336栋广东省计算科学重点实验室210

报告摘要：
This talk shall address some computational challenges in the simulation of a coupled surface and subsurface fluid flow problem in a multi-physics environment. As an example, the speaker will discuss a model that simulates the water flow in a flood plain or a river system resulted from a rain storm or dam break. The research results have significant societal impact in flood control, flood prediction, and damage assessment for regions of importance. The scientific challenging issues are: (1) coupling of the surface and subsurface fluid flow, (2) design of numerical schemes that work well for both subcritical and supcritical flows, (3) description of physically meaningful boundary conditions, (4) fast solution methods by using parallel computing techniques, (5) data collection/assimilation and uncertainty quantification, and (6) model validation and verification. A computational simulator will be demonstrated for a synthetic study case.

报告人简介：
Dr. Junping Wang received his PhD in Mathematics from the University of Chicago in 1988. Following his PhD, he went to Cornell University as a postdoctoral associate at the Mathematical Sciences Institute. He then joined the faculty of the University of Wyoming at the end of 1989, and served as the Director for the Institute for Scientific Computing since 1997. He was a visiting faculty of Texas A&M University in 1995-1997. In 1999, Dr. Wang joined the faculty of Colorado School of Mines, and served as Assistant Head of the Department of Mathematical and Computer Sciences. In 2002, Dr. Wang served as Acting Head for the same department at Colorado School of Mines. In 2003, Dr. Wang moved to National Science Foundation (NSF) as a Program Director in the Division of Mathematical Sciences. His primary duty at NSF is to promote and support research and training in all fields of Computational Mathematics. At NSF, Dr. Wang has been actively involved in various foundation-wide and cross agency activities of interdisciplinary nature. He is an advocator and supporter of computational methods with innovation.
Dr. Wang’s research interests are primarily in numerical methods for partial differential equations. His main research contribution is in the theoretical aspect of numerical PDEs, such as algorithm design, convergence and error analysis for finite element methods, domain decomposition and multigrid methods. His recent work is focused on the development of a new computational technique, called weak Galerkin (WG) finite element method.