YANG,Huanhuan-华中师范大学数学学院中文站

YANG,Huanhuan

Chinese Version (中文版)

职称
办公室6-M208
邮箱huan2yang@ccnu.edu.cn

Personal Introduction

I am an associate professor at Central China Normal University.
Before my current position, I was an associate professor at Shantou University from Aug 2017 to July 2023. 

Earlier, I was a postdoctoral researcher in the Department of Scientific Computing at Florida State University, working with Max Gunzburger on applied Mathematics.
Particular areas: PDE constrained optimization, parallel computing, ocean modeling.

I obtained my PhD degree in the Department of Mathematics at Emory University, supervised by Alessandro Veneziani on computational Mathematics. 
Particular areas: computational electrocardiology, inverse problems, reduced order modeling.

Education

Emory University, USA Aug 2010 – Sep 2015
- Ph.D. in Computational Mathematics
- Advisor: Alessandro Veneziani
Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences Sep 2007 – Jun 2010
- M.S. in Pure Mathematics
- Advisor: Fangwen Deng
Central China Normal University Sep 2003 – Jun 2007
- B.S. in Mathematics

Research Field

• Numerical Partial Differential Equations: Computational fluid dynamics, Cardiac electrophysiology, Boundary
integral equations, Climate modeling
• Reduced Order Modeling: POD, CVT, Greedy reduced basis, Approximated Lax pairs
• PDE-constrained Optimization: Parameter estimation, Optimal control, Experimental design
• Others: HPC, Uncertainty quantification

Academic Visit

Feb 2018，Hong Kong Polytechnic University，visit Buyang Li

Publication

1. Nan Jiang and Huanhuan Yang∗, A second order ensemble algorithm for computing the Navier-Stokes equations, Journal of Mathematical Analysis and Applications, 530(1)(2024):127674.
2. Nan Jiang and Huanhuan Yang∗, Unconditionally stable, second order, decoupled ensemble schemes for computing evolutionary Boussinesq equations, Applied Numerical Mathematics, 192(2023):241-260.
3. Nan Jiang and Huanhuan Yang∗, Fast and accurate artificial compressibility ensemble algorithms for computing parameterized Stokes-Darcy flow ensembles, Journal of Scientific Computing, 94(2023).
4. Ruonan Cao, Nan Jiang, and Huanhuan Yang∗, Three linear, unconditionally stable, second order decoupling methods for the Allen-Cahn-Navier-Stokes phase field model, Journal of Mathematical Analysis and Applications, 519(2023):126792.
5. Wei Gong, Buyang Li, Huanhuan Yang∗, Optimal control in a bounded domain for wave propagating in the whole space: coupling through boundary integral equations, Journal of Scientific Computing, 92(2022):91.
6. Nan Jiang and Huanhuan Yang∗, Artificial compressibility SAV ensemble algorithms for the incompressible Navier-Stokes equations, Numerical Algorithms, 2022.
7. Nan Jiang and Huanhuan Yang∗, Numerical investigation of two second-order, stabilized SAV ensemble methods for the Navier-Stokes equations, Advances in Computational Mathematics 48(2022):65.
8. Nan Jiang, Ying Li∗, Huanhuan Yang, A second order ensemble method with different subdomain time stepsfor simulating coupled surface-groundwater flows, Numerical Methods for Partial Differential Equations, 38(2022):1880-1907.
9. Nan Jiang, Ying Li, Huanhuan Yang∗, An artificial compressibility Crank-Nicolson leap-frog method for the Stokes-Darcy model and application in ensemble simulations, SIAM Journal on Numerical Analysis, 59(2021):401-428.
10. Nan Jiang and Huanhuan Yang∗, Stabilized scalar auxiliary variable ensemble algorithms for parameterized flow problems, SIAM Journal on Scientific Computing, 43(2021):A2869-A2896.
11. Nan Jiang and Huanhuan Yang∗, SAV decoupled ensemble algorithms for fast computation of Stokes-Darcy flow ensembles, Computer Methods in Applied Mechanics and Engineering, 387 (2021):114150.
12. Huanhuan Yang∗, Lili Ju, Max Gunzburger, Fast spherical centroidal Voronoi mesh generation: A Lloyd-preconditioned LBFGS method in parallel, Journal of Computational Physics, 367(2018):235-252.
13. Kui Du, Buyang Li∗, Weiwei Sun, Huanhuan Yang, Electromagnetic scattering from a cavity embedded in an impedance ground plane, Mathematical Methods in the Applied Sciences, 41(2018):7748-7765.
14. Huanhuan Yang∗ and Max Gunzburger, Algorithms and analyses for stochastic optimization for turbofan noise reduction using parallel reduced-order modeling, Computer Methods in Applied Mechanics and
Engineering, 319(2017):217-239.
15. Huanhuan Yang∗ and Alessandro Veneziani, Efficient estimation of cardiac conductivities via POD-DEIM model order reduction, Applied Numerical Mathematics, 115(2017):180–199.
16. Huanhuan Yang and Alessandro Veneziani∗, Estimation of cardiac conductivities in ventricular tissue by a variational approach, Inverse Problems, 31(2015):115001.
17. Huanhuan Yang∗, Tiziano Passerini, Tommaso Mansi, and Dorin Comaniciu, Data-driven model reduction for fast, high fidelity atrial electrophysiology computations, Functional Imaging and Modeling of the Heart, Lecture Notes in Computer Science, 9126(2015):466-474.
18. Lifang Xu∗ and Huanhuan Yang, On the generalizations of Denjoy-Wolff theorem, Acta Mathematica Sinica, English Series, 32(2012): 1333-1337.

Contact Information

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