معرفی
Xiaobing Feng is a Professor and Department Head in the Department of Mathematics at the University of Tennessee at Knoxville (UTK), where he has been since 1993. He holds a Ph.D. in Computational and Applied Mathematics from Purdue University (1992). His research focuses on numerical analysis, scientific computing, and partial differential equations (PDEs), with applications in biology, engineering, and physics. Key areas include stochastic PDEs, numerical methods for nonlinear PDEs, systems biology, and geometric flows.
His work spans computational methods for stochastic systems, such as the elastic wave equations and Navier-Stokes equations, alongside contributions to fractional calculus and Sobolev spaces. He has developed innovative numerical techniques, including discontinuous Galerkin methods and efficient Monte Carlo algorithms for high-dimensional problems. His interdisciplinary research also addresses challenges in manufacturing metrology, such as geometric error identification in precision tools and biomedical imaging.
Feng’s recent publications (2022–2025) emphasize stochastic modeling, numerical stability, and high-dimensional integration. He has contributed to data assimilation methods like i4DVar and advanced thermal modeling for machine tools. His research bridges mathematical theory with real-world applications, from medical devices to aerospace engineering.
Notably, he has been recognized for his contributions to computational mathematics, though specific awards are not detailed. His academic leadership includes mentoring students and guiding departmental initiatives at UTK.
