Jue Yan

  • Associate Professor
Research Interests:
Machine learning neural network methods for partial differential equations. Discontinuous Galerkin finite element method. High order physical property preserving numerical methods. (positivity preserving DG methods for compressible Navier-Stokes equations). High order methods for elliptic interface problems. Mathematical modeling for bio-math (Chemotaxis)


Contact Info

484 Carver
411 Morrill Rd.
Social Media and Websites
  • Presidential interdisciplinary Research Initiative, Iowa State University, co-PI (PI: Sarkar Soumik), Center for Translational AI, 2021-2024, $450,000.
  • National Science Foundation, DMS-2023264, co-PI (PI: Xiaoming He) Collaborative research: Middle West Numerical Analysis Day 2020-2021 (extended to 2022 due to covlid-19), $5,000.
  • Simons Foundation, Mathematics and Physical Sciences-Collaboration Grants for Mathematicians 637716, sole PI, High order discontinuous Galerkin method and its applications, $42,000, 2019-2024.
  • National Science Foundation, DMS-1620335, sole PI, Positivity preserving limiter and new development on elliptic interface problems, $150,000, 2016-2019.
  • National Science Foundation, DMS-0915247, sole PI, Local’ and ‘Direct’ discontinuous Galerkin Methods: New Algorithms and Applications, $99,235, 2009-2012.