معرفی
Wuzhe Xu is a Marshall H. Stone Visiting Assistant Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst, mentored by Prof. Yulong Lu. He holds a Ph.D. in Mathematics from the University of Minnesota Twin Cities (2022), supervised by Prof. Li Wang. His research focuses on applied mathematics, computational methods, and interdisciplinary applications in fluid dynamics, partial differential equations, and machine learning.
Education:
- Ph.D. in Mathematics, University of Minnesota Twin Cities, 2022
Research Interests: Dr. Xu develops advanced computational techniques for solving multiscale kinetic equations, diffusion models, and physics-guided machine learning frameworks. His work addresses challenges in fluid dynamics, radiative transfer, and long-time prediction of evolution equations. He emphasizes asymptotic preserving schemes and transfer learning applications to ensure numerical stability and accuracy across diverse physical systems.
Publications Trends: His recent work (2021–2025) highlights innovations in generative downscaling of PDE solvers, super-resolution techniques in fluid dynamics, and mathematical modeling of granular media. Earlier studies (2013–2014) explored epidemiological trends of infectious diseases in Guangxi Province, China.
Awards & Recognition: Notable for award-winning teaching and research excellence in applied mathematics.
Advising & Grants: Active in mentoring students through interdisciplinary projects. Current grants and collaborations focus on advancing computational methods for fluid dynamics and machine learning applications.
Labs/Teams: Collaborates closely with the Applied Mathematics Research Group at UMass Amherst and maintains ties with Prof. Li Wang's team at the University of Minnesota.
