معرفی
Yangwen Zhang is an Assistant Professor in the Department of Mathematics at the University of Louisiana at Lafayette. He holds a Ph.D. in Mathematics from the Missouri University of Science and Technology (2018). Prior to his current position, he completed postdoctoral research at the University of Delaware (2018–2021) and Carnegie Mellon University (2021–2023).
His research focuses on applied mathematics, scientific computing, numerical analysis, and data science. Core areas include computational methodologies for partial differential equations (PDEs), hybridizable discontinuous Galerkin (HDG) methods, model order reduction for PDEs, optimal control, inverse problems, and engineering applications.
Key research trends in his publications emphasize HDG methods for PDEs, with applications in fluid dynamics, semiconductor devices, and electromagnetic wave propagation. Recent work highlights advancements in divergence-free approximations for Stokes equations, superconvergence analysis of HDG schemes, and spectral methods for thin surface modeling.
His academic career includes postdoctoral fellowships at top institutions, reflecting expertise in numerical analysis and computational mathematics. No scientific awards are explicitly mentioned, but his extensive publication record underscores contributions to the field.
Advising and grants are not detailed in the provided text, but his research collaborations span institutions like Missouri S&T, Delaware, and CMU. He currently contributes to the Mathematics Department at UL Lafayette, bridging theoretical and applied computational mathematics.
