张永金，男，河南商城人，理学博士，副教授，澳门人威尼斯官方网澳门人威尼斯官方网教师。联系方式：zhyj@hpu.edu.cn，zhangy_j@hotmail.com.
教育经历：
2011.9-2016.6，博士，德国马普所（马普学会复杂技术系统动力学研究所，马格德堡），马格德堡大学；博士论文：Model Order Reduction for Parameterized Nonlinear Evolution Equations，导师：Prof. Dr. Peter Benner & Dr. Lihong Feng；
2008.9-2011.7，硕士，首都师范大学；硕士论文：An adaptive GRP scheme for compressible fluid flows on unstructured meshes，导师：李杰权教授；
1998.9-2002.7，学士，河南师范大学。
研究兴趣：
模型降价（Model Order Reduction），计算流体力学（Computational Fluid Dynamics）
近期代表性作品：
1.Y. Zhang, L. Feng, A. Seidel-Morgenstein and P. Benner, Accelerating optimization and uncertainty quantification of nonlinear SMB chromatography using reduced-order models, Computers & Chemical Engineering, 96(2017),pp. 237-247.
2.Y. Zhang, L. Feng, S. Li and P. Benner, An efficient output error estimation for model order reduction of parametrized evolution equations, SIAM Journal on Scientific Computing, 37 (2015), pp. B910-B936.
3.Y. Zhang, L. Feng, S. Li and P. Benner, Accelerating PDE constrained optimization by the reduced basis method: application to batch chromatography, International Journal for Numerical Methods in Engineering, 104 (2015), pp. 983-1007.
4.J. Li, Y. Zhang, The adaptive GRP scheme for compressible fluid flows over unstructured meshes, Journal of Computational Physics, 242 (2013), pp. 367-386.
5.P. Benner, L. Feng, S. Li, Y. Zhang*, Reduced-order modeling and ROM-based optimization of batch chromatography, in Numerical Mathematics and Advanced Applications-ENUMATH 2013, A. Abdulle, S. Deparis, D. Kressner, F. Nobile, and M. Picasso, eds., vol. 103 ofLecture Notes in Computational Science and Engineering, Springer, 2015, pp. 427-435.
6.Y. Zhang, L. Feng, S. Li and P. Benner, A New Error Estimation for Model Order Reduction of Parametrized Evolution Equations. Mathematical Modelling --- IFAC-PapersOnLine, 8(1), 2015, pp. 9-10.
学术活动（报告或海报）：
1.An adaptive technique for snapshot selection during model reduction for parameterized evolution equations (Talk)，Reduced Basis Summer School 2012，August 28 - 31,2012; Stuttgart (Germany)
2.Reduced order modeling and ROM-based optimization of batch chromatography (Poster),CIRM workshop Model Reduction and Approximation for Complex Systems June 10 - 14, 2013; Marseille (France)
3.Reduced-order modeling and ROM-based optimization of batch chromatography(Talk), European conference on Numerical Mathematics and Advanced Applications - ENUMATH2013，August 26 – 30,2013; Lausanne, (Switzerland)
4.A reduced basis method and ROM-based optimization of batch chromatography(Talk),，Workshop on Model Reduction of Complex Dynamical Systems- ModRed 2013， December 11 - 13, 2013; Magdeburg (Germany)
5.A New Error Estimation for Model Order Reduction of Parametrized Evolution Equations （Invited talk），8th Vienna International Conference on Mathematical Modelling – MATHMOD，February 18 - 20, 2015; Vienna (Austria)
6.Accelerating optimization and uncertainty quantification of nonlinear SMB chromatography using reduced-order models （Invited talk），2016 Sino-German Symposium“Modeling , Model Reduction and Optimization of Flows”, September 26-30, 2016, 中国上海
7.Fast Simulation of Multicomponent Flows using Model Order Reduction （Invited talk），International conference on numerical simulation for multimaterial and multiphysics flows，July 3–7, 2017，中国北京
