I am an assistant professor in computational mathematics.
Since January 2021 I am assistant professor in computational mathematics at Umeå University. My primary research interest is the development, analysis, and implementation of numerical methods for partial differential equations.
In the past few years, much of my research effort has been devoted to efficient and robust numerical simulation of acoustic and elastic wave propagation, which are modelled by second order hyperbolic partial differential equations. For the numerical solutions, I have considered stable and high-order accurate finite difference and discontinuous Galerkin methods. This topic is still an important part of my current work. For hyperbolic problems, a recent interest is perfectly matched layer (PML) technique to truncate computational domains. Another research interest is multiscale modelling where material properties vary in space on different scales. I have worked on multiscale methods for flows in porous media and look forward to extending the techniques to hyperbolic problems.
Before joining Umeå University I was a lecturer at Mälardalens högskola in 2019-2020, where I taught several courses in mathematics and numerical methods. Before that I was a postdoc at Chalmers University of Technology in 2017-2019 working with Axel Målqvist on multiscale methods for flows in porous media. Prior to Chalmers, I obtained a PhD in scientific computing at Uppsala University with Gunilla Kreiss as advisor. We focused on high-order finite difference discretizations on nonuniform meshes for the wave equation and established error estimates for a class of discretizations in the normal mode analysis framework.
Preprints
[P1] , Kenneth Duru, Balaje Kalyanaraman and Siyang Wang, Submitted.
2025
[J21] , Andreas Granath and Siyang Wang, Journal of Computational Physics, 524 (2025), 113745.
[J20] , Siyang Wang, Journal of Computational and Applied Mathematics, 463 (2025), 116476.
2024
[J19] , Yan Jiang and Siyang Wang, Journal of Scientific Computing, 100 (2024), 75.
2023
[J18] , Siyang Wang and Gunilla Kreiss, SIAM Journal on Numerical Analysis, 60(2023), 1962-1988.
2022
[J17] , Kenneth Duru, Siyang Wang and Kenny Wiratama, SIAM Journal on Numerical Analysis, 60(2022), 1631-1664.
[J16] , Lu Zhang and Siyang Wang, SIAM Journal on Numerical Analysis, 60(2022), 1516-1547.
[J15] , Siyang Wang, Daniel Appelö and Gunilla Kreiss, Journal of Scientific Computing, 91 (2022), 52.
2021
[J14] , Sofia Eriksson and Siyang Wang, SIAM Journal on Numerical Analysis, 59 (2021), 2669-2697.
[J13] , Lu Zhang, Siyang Wang and N. Anders Petersson, SIAM Journal on Scientific Computing, 43 (2021), A1472-A1496.
[J12] , Fredrik Hellman, Axel Målqvist and Siyang Wang, ESAIM: Mathematical Modelling and Numerical Analysis, 55 (2021), S761-S784.
[J11], Zeyang Geng, Siyang Wang, Matthew J. Lacey, Daniel Brandell, Torbjörn Thiringer, Electrochimica Acta, 372 (2021) 137829.
2019
[J10] , Siyang Wang and N. Anders Petersson, SIAM Journal on Scientific Computing, 41 (2019), A3246–A3275.
[J9], Martin Almquist, Siyang Wang, and Jonatan Werpers, SIAM Journal on Scientific Computing, 41 (2019), A1201–A1227.
[J8], Daniel Appelö and Siyang Wang, International Journal of Numerical Methods for Engeneering, 119 (2019), 618–638.
2018
[J7] , Siyang Wang, Journal of Scientific Computing, 77 (2018), 775-792.
[J6], Gustav Ludvigsson, Kyle R. Steffen, Simon Sticko, Siyang Wang, Qing Xia, Yekaterina Epshteyn and Gunilla Kreiss, Journal of Scientific Computing, 76 (2018), 812–847.
[J5], Siyang Wang, Anna Nissen and Gunilla Kreiss, Mathematics of Computation, 87 (2018), 2737-2763.
2017
[J4], Daniel Appelö, Gunilla Kreiss and Siyang Wang, Communications in Computational Physics, 21 (2017), 1207-1230.
[J3] , Siyang Wang and Gunilla Kreiss, Journal of Scientific Computing, 71 (2017), 219–245.
2016
[J2], Siyang Wang, Kristoffer Virta and Gunilla Kreiss, Journal of Scientific Computing, 68 (2016), 1002-1028.
2014
[J1] , Siyang Wang, Johan Elf, Stefan Hellander and Per Lötstedt, Bulletin of mathematical biology, 76 (2014), 819-853.
Thesis
[T1] , Siyang Wang, Uppsala University, 2017.
2024
Aug 30: Grading committee to Gustav Eriksson's PhD dissertation, Uppsala University, Sweden.
May 28-June 1: International Conference on Applied Mathematics, Hong Kong.
2023
Dec 8: Grading committee to Vidar Stiernström's PhD dissertation, Uppsala University, Sweden.
Nov 13-16: MIRAI2.0 workshop, Umeå, Sweden.
Oct 10-12: Swedish e-Science Academy & worshop on numerical linear algebra, Uppsala University, Sweden.
Aug 28 -31: International Symposium on Mathematical Biology, Kyoto, Japan.
Aug 20-25: International Congress of Industrial and Applied Mathematics, Tokyo, Japan.
Aug 14-18: International Conference on Spectral and High Order Methods, Seoul, Korea.
Aug 9-12: The Fifth International Workshop on Development and Application of High-Order Numerical Methods, Qingdao, China.
July 30-Aug 8: Visit University of Science and Technology of China, China.
April 7-16: Visit Kyushu University and University of Tokyo, Japan.
March 27 - March 31: Attend South Africa - Sweden research and innovation week, University of Western Cape, Cape Town, South Africa.
2022
December 2: Opponent to Gustav Eriksson's half-time (Licentiate) seminar, Uppsala University, Uppsala, Sweden.
December 1: Research seminar at Uppsala University, Uppsala, Sweden.
November 12-18: Visit University of Tokyo and attend MIRAI2.0 workshop at Kyushu University, Japan.
May 27 - June 4: Visit Columbia University, NY, USA.
May 6: Research seminar at UMIT, Umeå Uniersity, Umeå, Sweden.
March 21 - April 19: Visit Australian National University, Canberra, Australia.
April 11: Talk at Australian Academy of Science - Elizabeth and Frederick White Research Conference, Canberra, Australia.
April 7: Colloquium at Australian National University, Canberra, Australia.
January 21: Research seminar at Michigan State University (online).
2021
December 2: Research seminar at Royal Institue of Technology, Stockholm, Sweden.
March 15: Research seminar at Australian National University (online).
I have taught courses in mathematics and numerical analysis.
Numerical methods for partial differential equations (21,22,23,24)
Mathematics for economics and business (19,20)
Numerical methods with MATLAB (19,20)
Vector algebra (19)
Finite element methods (20)
Biomathematics and bioinformatics (20)
Numerical analysis (18)
Scientific computing bridging course (13,14,15,16,17)