Jinbiao Wu
Associate Professor
jwu@math.pku.edu.cn
Office :1472W

Education

h. D

1999

ComputationalMathematics

Peking University

B. S.

1994

ComputationalMathematics  

Peking University

Research Interests

Multigrid method, Industrial and applied mathematics

1. Multigrid methods for singular and nearly singular problem

2. Multigrid methods for the nearly incompressible elasticity problem and jump coefficient problem

3. Modeling and thermal stress analysis on the directional growth techniques for semiconductor crystals

4. Numerical simulation and model analysis for battery

Selected Publications

Professional Appointments

2008-

Associate Professor

School of Mathematical Sciences, Peking University

2002-2008

Assistant professor

School of Mathematical Sciences, Peking University

1999-2002

Postdoctoral Fellow

Department of Mathematics, Penn State University

Teaching Activities

Undergraduate course

Calculus

2011.s, 2012.f, 2012.s, 2013.f, 2015.f, 2016.f, 2016.s

Undergraduate course

Linear Algebra

2013.s, 2014.f, 2014.s, 2015.s

Undergraduate/Graduate course

Finite difference II

2010.f, 2011.f, 2017.f

Undergraduate course

Numerical Algebra I

2010.s

Research Projects

2012-2014

Parallel multilevel iterative method for solving large scale discretization system

National Science Foundation of China 91130011

¥700,000rmb

   PI

2010-2012

Multigrid methods for nearly singular problems

National Science Foundation of China 10971006

¥ 220,000rmb

   PI

2006-2008

Theoretic analysis and application research for mesh adaptive methods

National Science Foundation of China 10501001

¥ 130,000rmb

   PI

Invited Talks

“Multigrid method for parameter dependent problems”. International Conference on Numerical Partial Differential Equations and Their Applications.

May 25-29, 2015

Wuhan, China

“Uniform convergence analysis on multigrid methods for jump coefficient problems”. The 8th international conference on numerical methods and applications.

Aug. 20-24, 2014

Borovets, Bulgaria

“Multigrid methods for nearly singular problems”. International Conference on Applied Mathematics.

June 7-11, 2010

Hong Kong, China