The Mathematics Department at Morgan State University is excited to host the CBMS Conference: Deep Learning and Numerical PDEs, which will take place at Morgan State University from June 19 - June 24, 2023.

This conference will bring together a diverse group of researchers from PDE theory, scientific computing, and machine learning who work on both the theoretical and applied aspects of solving PDEs using neural networks. There will be a distinguished lecture series to be delivered by Prof. Jinchao Xu (KAUST and Penn State) and invited plenary talks from distinguished speakers in the one and half-day workshop. Our goal is to present a comprehensive introduction to the diverse set of research opportunities in machine learning for scientific computing. We are also aiming to create an inclusive environment geared toward exposing traditionally disadvantaged groups to this important new field of research. Information about important deadlines will be made available later this year.

Organizers: Mingchao Cai (Morgan State University), Long Chen (University of California, Irvine), Jonathan Siegel (Texas A&M University), Haizhao Yang (University of Maryland College Park), Yue Yu (Lehigh University).

For more information, please visit https://sites.google.com/view/nsf-cbms-dl-nmpde/home