معرفی
Shiheng Zhang is an Pearson Fellow Acting Instructor at the Department of Applied Mathematics at the University of Washington. His research focuses on constructing structure-preserving schemes for partial differential equations (PDEs), with current emphasis on kinetic equations and their applications in neural networks. He holds a Ph.D. from Purdue University.
- Education: Ph.D., Purdue University
His research interests span numerical analysis, spectral methods, and optimization, with applied work in dynamical systems and scientific computing. He teaches courses in applied mathematics and contributes to interdisciplinary research at the intersection of computational methods and neural networks.
No specific grants, awards, or advised students are listed in the provided text.
۰مقاله منتشرشده
