【个人简历】 教育背景: 2007.9-2011.7北京交通大学,数学系,计算数学专业,理学博士 2008.3-2011.7中国科学院大气物理研究所,物理海洋学,联合培养博士 2009.8-2010.8美国佛罗里达州立大学(FSU),科学计算系,联合培养博士 2003.9-2007.7北京交通大学,数学系,信息与计算科学专业,理学学士 研究工作经历: 2011.7-2013.6中国科学院大气物理研究所,物理海洋学,博士后 【主要研究方向】 海洋资料同化,海洋数值模拟 【主要科研项目】 国家自然科学基金青年科学基金项目“自适应网格海洋集合资料同化方法研究”(项目批准号:41406037)(2015.1-2017.12),项目负责人 【主要研究成果】 【代表论文专著】 1、Juan Du, F. Fang, C.C. Pain, I.M. Navon*, J. Zhu, D.A. Ham.POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow. Computers and Mathematics with Applications. 2013; 65:362-379. 2、Juan Du, I.M. Navon*, J. Zhu, F. Fang, A.K. Alekseev. Reduced order modeling based on POD of a parabolized Navier-Stokes equations model II: trust region POD 4-D VAR Data Assimilation. Computers&Mathematics with Applications. 2013; 65:380-394. 3、Juan Du, I.M. Navon*, J.L. Steward, A.K. Alekseev, Z. Luo. Reduced order modeling based on POD of a parabolized Navier-Stokes equations model I: Forward Model. International Journal for Numerical Methods in Fluids. 2012; 69(3):710–730. 4、Juan Du, J. Zhu, Z. Luo, I.M.Navon*. An optimizing finite difference scheme based on proper orthogonal decomposition for CVD equations. Communications in Numerical Methods in Engineering. 2011; 27:78-94. 5、D. Xiao, F. Fang, Juan Du, C.C. Pain, I.M. Navon*, A.G. Buchan, A.H. ElSheikh, G. Hu. Non-linear Petrov–Galerkin methods for reduced order modeling of the Navier–Stokes equations using a mixed finite element pair. Computer Methods in Applied Mechanics and Engineering. 2013; 255:147–157. 6、F. Fang, C.C. Pain, I.M. Navon*, A.H. Elsheikh, Juan Du, D. Xiao. Non-linear Petrov–Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods. Journal of Computational Physics. 2013; 234:540–559. |