Zhen Cheng
About Zhen Cheng
Zhen Cheng is a Senior Research Engineer at Convergent Science, specializing in computational fluid modeling and turbulence modeling. He has a PhD in Civil/Coastal Engineering from the University of Delaware and has previously worked at the Woods Hole Oceanographic Institution and as a Graduate Research Assistant at the University of Delaware.
Work at Convergent Science
Zhen Cheng has been employed at Convergent Science as a Senior Research Engineer since 2020. In this role, he focuses on advancing computational fluid dynamics (CFD) models, particularly for sediment transport applications. Prior to his current position, he worked as a Research Engineer at the same company from 2018 to 2020. His work involves applying innovative methods in computational fluid modeling, contributing to the development of new technologies in the field.
Education and Expertise
Zhen Cheng holds a Doctor of Philosophy (PhD) in Civil/Coastal Engineering from the University of Delaware, where he studied from 2010 to 2016. He also earned a Bachelor of Engineering (BEng) in Naval Architecture and Ocean Engineering from Shanghai Jiao Tong University, completing his degree from 2006 to 2010. His educational background provides a strong foundation in turbulence modeling and numerical methods, including finite-volume, finite difference, and Lattice Boltzmann methods.
Background
Before joining Convergent Science, Zhen Cheng worked at the Woods Hole Oceanographic Institution as a Postdoctoral Scholar from 2016 to 2018. He also served as a Postdoc investigator for five months in 2018. His experience includes six years as a Graduate Research Assistant at the University of Delaware. Throughout his career, he has developed a strong focus on multiphase turbulence and sediment transport applications.
Technical Skills
Zhen Cheng possesses advanced skills in parallel programming, utilizing OpenMP and MPI for high-performance computing. He is also familiar with general-purpose computing on graphics processing units (GPGPU). His technical expertise supports his work in developing sophisticated computational fluid dynamics models, enhancing the understanding of fluid behavior in various applications.