Faculty
Educational and Work Experience
Undergraduate
B.Sc., Information and Computational Science , NanJing University (NJU), Sep. 2007- July 2011.
Ph.D. Study
Ph.D. Candidate, Computational Mathematics , Institute of Computational Mathematics
and Scientific/Engineering Computing (ICMSEC), Chinese Academic of Science, Sep. 2011- Sep. 2014,
Ph.D advisor: Zhiming Chen , Professor, Institute of Computational Mathematics Academy
of Mathematics and System Sciences Chinese Academy of Sciences.
Ph.D. Study
Computational Mathematics , DMA, Ecole Normale Superieure, Sep. 2014 - June. 2017,
Ph.D advisor: Habib Ammari , Professor of Applied Mathematics, Department of Mathematics ETH Zürich
Postdoc
Department of Mathematics, Southern University of Science and Technology, Sep. 2017 -
Oct. 2019
Assistant professor
Department of Mathematics, Southern University of Science and Technology, Nov. 2019 to present
Research Topics
Uncertainty quantification
Inverse problems
Applications of empirical process
Hybrid Imaging method
Homogenization theory
Numerics for PDE
Conductivity reconstruction method
Teaching
2017-2018 Teaching assistant for 'Finite element method'
2017-2018 Teaching assistant for 'Selected topics in partial differential equations’
2019 Teach tutorial classes of 'Linear algebra' including Chinese class and English class
2020 Teach classes of 'Linear algebra' and 'Ordinary differential equations A' (2020 年春季學期常微分方程A，2020年秋季學期線性代數I-A)
2021 Teach class of 'Ordinary differential equations A' (2021年春季學期常微分方程A)
2021 Teach classes of 'Linear algebra' and 'Ordinary differential equations B' (2021 年秋季學期常微分方程B，2021年秋季學期線性代數I-A)
Publications
[1] H. Ammari, G.S. Alberti, B. Jin, J.-K. Seo and W. Zhang, The Linearized inverse problem in multifrequency electrical impedance tomography, SIAM Journal on Imaging Sciences, 2016, 9:1525-1551.
[2] H. Ammari, T. Widlak and W. Zhang, Towards monitoring critical microscopic parameters for electropermeabilization, Quarterly of Applied Mathematics, 2017, 75: 1-17.
[3] H. Ammari, L. Qiu, F. Santosa and W. Zhang*, Determining anisotropic conductivity using Diffusion Tensor Magneto-acoustic Tomography with Magnetic Induction, Inverse Problems, 2017, 33: 125006.
[4] Z. Chen, R. Tuo and W. Zhang, Stochastic Convergence of A Nonconforming Finite Element Method for the Thin Plate Spline Smoother for Observational Data, SIAM Journal on Numerical Analysis, 2018, 56: 635-659.
[5] H. Ammari, B. Jin and W. Zhang*, Linearized Reconstruction for Diffuse Optical Spectroscopic Imaging, Proceedings of the Royal Society A, 2018, 475: 20180592.
[6] Z. Chen, R. Tuo and W. Zhang, A Balanced Oversampling Finite Element Method for Elliptic Problems with Observational Boundary Data, Journal of Computational Mathematics, 2020, 38, 355-374.
[7] M. V. Klibanov, J. Li and W. Zhang, Convexification of Electrical Impedance Tomography with Restricted Dirichlet-to-Neumann Map Data, Inverse problems, 2019, 35: 035005.
[8] M. V. Klibanov, J. Li and W. Zhang, Convexification for the Inversion of a Time Dependent Wave Front in a Heterogeneous Medium, SIAM Journal on Applied Mathematics, 2019, 79(5), 1722–1747.
[9] M. V. Klibanov, J. Li and W. Zhang*, Convexification for an inverse parabolic problem, Inverse problems, 2020, 36: 085008.
[10]V. Klibanov, J. Li and W. Zhang*, Linear Lavrent’ev Integral Equation for the NumericalSolution of a Nonlinear Coefficient Inverse Problem, SIAM Journal on Applied Mathematics, 2021, 81(5), 1954–1978.
[11] Z. Chen, W. Zhang, J. Zou, Stochastic convergence of regularized solutions and their finite element approximations to inverse source problems, SIAM Journal on Numerical Analysis, 2022, 60(2), 751-780.
[12] M. V. Klibanov, J. Li and W. Zhang*, A Globally Convergent Numerical Method for a 3D Coefficient Inverse Problem for a Wave-Like Equation, SIAM Journal on Scientific Computing, 44(5), A3341–A3365.