Professor John Chai

Department of Engineering and Technology
University of Huddersfield, Huddersfield, UK
E-mail: j.chai@hud.ac.uk
Page: http://www.hud.ac.uk/ourstaff/profile/index.php?staffuid=sengjc4

Fields of interest:

Computational transport phenomena

Short biographical information:

John Chai joined the University of Huddersfield on 1 September 2014 as a Professor at the Department of Engineering and Technology of the School of Computing and Engineering. He is an Adjunct Professor of Xian Jiaotong University, Shanxi, China and Chinese University of Petroleum – East China, Qingdao, Shandong, China. He is an Editorial Advisory Board member of Computational Thermal Sciences, Associate Editors of the ASME Journal of Thermal Science and Engineering and Heat Transfer Engineering. He is an elected Fellow of ASME (American Society of Mechanical Engineers).

He received his B.S. (with First-Class Honours) in Mechanical Engineering from the University of Windsor, Canada and his M.S. in Mechanical Engineering from the University of Wisconsin-Milwaukee. In 1994 he graduated from the University of Minnesota with a Ph.D. in Mechanical Engineering where he worked under the supervision of Prof. Suhas V. Patankar.

In October 2009, he joined the Petroleum Institute (PI) of Abu Dhabi, UAE as professor and Chairman of Mechanical Engineering. Prior to joining the PI, he was a Principal Engineer at Amoeba Technologies Inc., a start-up CFD company. He also held faculty positions in Singapore and Tennessee, USA.

He has published over 80 journal articles, over 90 conference articles and contributed a chapter to the second edition of the Handbook of Numerical Heat Transfer. According to Google Scholar, his works have been cited almost 3000 times and his h-index is 25.

His research interests are in the development of numerical techniques for complex multiphysics transport phenomena encountered in multi-phase flows and fluid-structure interactions. Applications include, but are not limited to, digital (droplet-based) microfluidics, wet chemical etching, asphaltene (cholesterol) depositions, numerical methods for oil and gas industry and manufacturing.