Wang Lianping

Chair Professor, Director of Center for Computational Science and Engineering Department of Mechanics and Aerospace Engineering

Dr. Lian-Ping Wang received a Batchelor’s degree in Mechanics from Zhejiang University, Hangzhou, China in 1984, and a PhD in Mechanical Engineering from Washington State University, USA in 1990. He was then a Visiting Research Associate at Brown University, USA from 1990 to 1992, after which he was a Research Associate at Pennsylvania State University, USA from 1992 to 1994 and an Assistant Professor of Mechanical Engineering at the University of Delaware, USA from 1994 to 2001. He became an Associate Professor in 2001 and a Professor in 2010 at the University of Delaware. In 2017, he was appointed a Chaired Professor at Southern University of Science and Technology, China. His main research interests include computational fluid dynamics, turbulence, particle-laden flow and immiscible multiphase flow. In recent years, he has focused on the mesoscopic CFD method based on Boltzmann equation and its application in direct numerical simulation of complex flows. Relevant applications include cloud microphysics, transport in soil porous media, and modeling of complex flows. He has published over 170 refereed journal papers and delivered over 100 invited talks worldwide. Dr. Wang became an elected Fellow of American Physical Society in 2011 and an elected Fellow of American Society of Mechanical Engineers in 2016, and an Invitation Fellow of Japan Society for the Promotion of Science (9\\\\\\\/2016 – 3\\\\\\\/2017). Currently he also served as Affiliate Scientist of NCAR. In May 2022, he becomes Associate Editor of Journal Fluid Mechanics.

Research fields include：

---Conventional (continuum) CFD and mesoscopic CFD methods;

---Compressible flow and heat transfer, particle-laden flow, immiscible multiphase flow;

---Environmental and Engineering applications：cloud microphysics, flow through porous media, air-sea interactions, fluidized bed, sediment transport;

---High-performance computing, code optimization, hybrid integrated computing.