B.S. in Applied Mathematics
Central University of Finance and Economics, Beijing

Ph.D. in Mathematics
University of Utah, Salt Lake City

Calculus I

Calculus III

Dr. Qing Xia is currently a tenure-track Assistant Professor of Mathematics at College of Science, Mathematics and Technology, Wenzhou Kean University. He obtained his Ph.D. in Mathematics from University of Utah in 2019. He was a postdoctoral Research Associate at Rensselaer Polytechnic Institute. He was awarded the prestigious Dahlquist fellowship funded by KTH Royal Institute of Technology and COMSOL in 2021 and secured an NSFC grant in 2024. He has extensive teaching experience in the US, Sweden and China. He has mentored two research-experience-for-undergraduate (REU) students in the US. He has also served as a numerical analysis seminar organizer at KTH and a peer reviewer for multiple international journals.

Dr. Qing Xia’s research lies in Computational Mathematics, with focus on design, analysis and development of accurate and efficient numerical methods for partial differential equations in irregular geometry. Applications include fluids, biology, electromagnetics, etc.

For students: feel free to contact me by email if you are interested in:

- High performance scientific computing

- Mathematical / Computational biology

•  Q. Xia, Local-basis Difference Potentials Method for elliptic PDEs in complex geometry, J. Comput. Phys. 488 (2023), 112246
• Q. Xia, J. W. Banks, W. D. Henshaw, A. V. Kildishev, G. Kovacic, L. J. Prokopeva, and D. W. Schwendeman, High-order accurate schemes for maxwell's equations with nonlinear active media and material interfaces, J. Comput. Phys. 456 (2022), 111051
• Y. Epshteyn and Q. Xia, Difference potentials method for models with dynamic boundary conditions and bulk-surface problems, Adv. Comput. Math. 46, 67 (2020)
• Y. Epshteyn and Q. Xia, Efficient numerical algorithms based on difference potentials for chemotaxis systems in 3D. J. Sci. Comput. 80 (2019), no. 1, 26–59.
• G. Ludvigsson, K.R. Steffen, S. Sticko, S. Wang, Q. Xia, Y. Epshteyn and G. Kreiss, High-order numerical methods for 2D parabolic problems in single and composite domains. J. Sci. Comput. 76 (2018), no. 2, 812–847.
• J. Albright, Y. Epshteyn and Q. Xia, High-order accurate methods based on difference potentials for 2D parabolic interface models. Commun. Math. Sci. 15 (2017), no. 4, 985–1019.
• J. Albright, Y. Epshteyn, M. Medvinsky and Q. Xia, High-order numerical schemes based on difference potentials for 2D elliptic problems with material interfaces. Appl. Numer. Math. 111 (2017), 64–91.