Kai Fu

付凯

Associate Professor

Email: kfu@ouc.edu.cn

Address : No.238 Songling Road, Laoshan District, Qingdao, Shandong, China

EDUCATION:

1. 2007.09 - 2012.12, Ph.D. in Computational Mathematics, Shandong University, China
2. 2010.09 - 2011.09, Visiting Ph.D. student, Department of Mathematics and Statistics, York University, Canada
3. 2003.09 - 2007.07, B.S. in Mathematics and Applied Mathematics, Shandong University, China

WORK EXPERIENCE:

1. 2016.11 - present, Associate Professor, School of Mathematical Sciences, Ocean University of China, China
2. 2015.06 - 2016.11, Lecturer, School of Mathematical Sciences, Ocean University of China, China
3. 2013.01 - 2015.04, Postdoctoral Fellow, Department of Mathematics and Statistics, York University, Canada

RESEARCH INTERESTS:

1. Numerical partial differential equations
2. Atmospheric Aerosol Computation and Air Pollution Transport Modeling
3. Scientific Computing

PUBLICATIONS, SOFTWARES, AND BOOKS:

1. K. Fu, D. Liang, The Time Second Order Mass Conservative Characteristic FDM for Advection-Diffusion Equations in High Dimensions, Journal of Scientific Computing, 73: 26-49, 2017.
2. D. Liang, K. Fu, W. Wang, Modelling multi-component aerosol transport problems by the efficient splitting characteristic method, Atmospheric Environment, 144: 297-314, 2016.
3. K. Fu and D. Liang, The conservative characteristic FD methods for atmospheric aerosol transport problems, Journal of Computational Physics, 305: 494-520, 2016.
4. K. Fu, D. Liang, W. Wang, M. Cui, The time second-order characteristic FEM for nonlinear multi-component aerosol dynamic equations in environment, International Journal of Numerical Analysis and Modeling, 12(2): 211-229, 2015.
5. M. Cui, K. Fu, D. Liang, Y. Cheng, W. Wang, Numerical analysis of the second-order characteristic FEM for nonlinear aerosol dynamic equations. Journal of Computational and Applied Mathematics, 261: 48-61, 2014.
6. K. Fu, D. Liang, W. Wang, Y. Cheng, S. Gong, Multi-component atmospheric aerosols prediction by a multi-functional MC-HDMR approach. Atmospheric Research, 113: 43-56, 2012.
7. D. Liang, K. Fu and W. Wang, "Efficient splitting characteristic method for solving multi-component aerosol spatial transports in atmospheric environment". ADVCOMP 2014 : The Eighth International Conference on Advanced Engineering Computing and Applications in Sciences, IARIA, ISBN: 978-1-61208-354-4, (2014), 7-11.2