Dr. Leo Fang
Positions
Assistant Professor
Schulich School of Engineering, Department of Mechanical and Manufacturing Engineering
Visiting Academic
University of Oxford
Contact information
Phone number
Office: 403.210.7035
Location
Office : MEB320
Background
Educational Background
MBA Master of Business Administration , Quantic School of Business and Technology , 2021
PhD Engineering Science , University of Oxford , 2019
BASc Mechanical Engineering , University of British Columbia, 2016
Biography
Dr Leo (XiaoHang) Fang joined the Department of Mechanical and Manufacturing Engineering in 2022. Prior to Calgary, he was an engineering science lecturer at Oriel & Sommerville College, Oxford, and a research fellow of the Thermal Propulsion System Research Group (TPSRG) at the University of Oxford. Previously, he was an Engineering and Physical Sciences Research Council (EPSRC) post-doctoral researcher at the TPSRG. He received a BASc from the University of British Columbia in Mechanical Engineering Thermofluids Option in 2016 and a Ph.D. in Engineering Science from the University of Oxford. Currently, he holds several projects as the principal investigator for the study of novel combustion chamber design and numerical study of abnormal combustion. His research interests are in turbulent combustion and especially novel combustion model development and novel propulsion systems simulation. Dr. Fang is an active reviewer for the journals of Progress in Energy and Combustion Science, Combustion and Flame, Proceedings of the Combustion Institute, Combustion Theory and Modelling, Fuel, Energy & Fuels, Physics of Fluids, International Journal of Engine Research, etc. Dr. Fang currently serves as an Editor for SAE Technical papers and is part of the young editorial board of the Elsevier Journal : Defence Technology
Projects
My group looks into the numerical simulation of turbulent combustion, with a focus on the development of moment-based turbulent combustion models (e.g. Conditional Source Term-Estimation) and novel computational methods for post-processing.
More Information
Area of research: Turbulent reacting flow modelling, Combustion theory and modelling, Computational fluid dynamics, Conditional source-term estimation models, Data-driven numerical methods for reacting flows
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