معرفی
Tong Wu is an Assistant Professor in the Department of Mathematics at The University of Texas at San Antonio (UTSA), part of the College of Sciences. He specializes in applied and computational mathematics, with a focus on developing robust numerical methods for nonlinear partial differential equations and data assimilation.
- Ph.D. in Mathematics, Tulane University
- B.S. in Mathematics and Applied Mathematics, Xi'an Jiaotong University
His research lies at the intersection of numerical analysis, fluid dynamics, and mathematical biology. He develops innovative numerical schemes—such as adaptive moving mesh central-upwind and upwind methods—for solving hyperbolic systems, shallow water equations, chemotaxis models, and stiff ordinary differential equations. His work emphasizes properties like well-balancing, positivity preservation, and high resolution in capturing shocks and complex structures.
His publications reveal a consistent focus on improving numerical accuracy and efficiency in modeling physical and biological systems. Key themes include the development of algorithms for shallow water models with wet/dry fronts and friction, moving-water equilibria preservation, and adaptive mesh refinement. He also contributes to computational epidemiology by designing bipartite network generation algorithms that preserve joint degree distributions, enabling realistic modeling of disease spread.
Tong Wu has not received any explicitly mentioned scientific awards or fellowships in the provided text.
He is actively involved in teaching core mathematics courses such as Calculus I–III, Linear Algebra, and Scientific Computing. While no formal advising roles or grant funding are listed, his collaborative research with leading figures in applied mathematics indicates an active academic trajectory. He does not appear to lead a formal lab or research team, but his work is deeply collaborative and computational in nature.
