73882必赢网页版(中国)欧洲杯

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

Uncertainty quantification
Inverse problems
Applications of empirical process
Hybrid Imaging method
Homogenization theory
Numerics for PDE
Conductivity reconstruction method

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73882必赢网页版春季

学期常微分方程A，2020年73882必赢网页版秋季学期线性代数I-A)

2021 Teach class of ’Ordinary differential equations A’ (2021年73882必赢网页版春季学期常微分方程A)

2021 Teach classes of ’Linear algebra’ and ’Ordinary differential equations B’ (2021 年73882必赢网页版秋季
学期常微分方程B，2021年73882必赢网页版秋季学期线性代数I-A)

[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.

Faculty

Faculty > Professors > ZHANG Wenlong

ZHANG Wenlong

Assistant Professor

zhangwl@sustech.edu.cn http://faculty.sustech.edu.cn/zhangwl/en/

Faculty

Faculty > Professors > ZHANG Wenlong

ZHANG Wenlong Assistant Professor

zhangwl@sustech.edu.cn http://faculty.sustech.edu.cn/zhangwl/en/

ZHANG Wenlong

Assistant Professor