Jinchao Xu
From Wikipedia, the free encyclopedia
AlmamaterPeking University
Cornell University
Cornell University
Knownforapplication of partial differential equations
FieldsMathematics
Jinchao Xu | |
|---|---|
Xu in 2025 | |
| Born | June 23, 1961 |
| Alma mater | Peking University Cornell University |
| Known for | application of partial differential equations |
| Scientific career | |
| Fields | Mathematics |
| Institutions | King Abdullah University of Science and Technology |
| Doctoral advisor | James H. Bramble |
Jinchao Xu (许进超, born 1961) is an American-Chinese mathematician. He is currently Professor of Applied Mathematics and Computational Sciences at King Abdullah University of Science and Technology, Director of KAUST-SRIBD Joint Lab for Scientific Computing and Machine Learning. He founded and directed the KAUST Innovation Hub in Shenzhen. Previously, he was the Verne M. Willaman Professor in the Department of Mathematics at the Pennsylvania State University, University Park. He is known for his work on multigrid methods, domain decomposition methods, finite element methods, and more recently deep neural networks.