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
[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] 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.
[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] 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.
[9] M. V. Klibanov, J. Li and W. Zhang*, Convexification for an inverse parabolic problem, Inverse problems, 2020, 36: 085008.
[10] M. V. Klibanov, J. Li and W. Zhang*, Linear Lavrent'ev Integral Equation for the Numerical Solution 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] 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, 2022, 44(5), A3341–A3365.
[13] V. Klibanov, J. Li and W. Zhang*, Numerical solution of the 3-D travel time tomography problem, Journal of Computational Physics, 2023, 476(1), 111910.
[14] Wang, W. Zhang*, Z. Zhang, A data-driven model reduction method for parabolic inverse source problems and its convergence analysis, Journal of Computational Physics, 2023, 487, 112156.
