Penghao Duan

Penghao Duan is an Assistant Professor in the Department of Mechanical Engineering at The University of Hong Kong. His research interests include turbomachinery design, computational fluid dynamics (CFD), computational mesh generation, and AI for CFD. Duan obtained dual bachelor’s degrees from Tongji University and Polytechnic University of Milan, followed by a master’s degree at ETH Zürich, where he conducted his thesis at the MIT Gas Turbine Laboratory as a ZKS-funded Visiting Scholar. He earned his doctoral degree from the University of Oxford and worked as a postdoc before joining the University of Hong Kong. Prior to this, he was an Assistant Professor at City University of Hong Kong. His work has involved service as a session chair at international conferences and as a Guest Editor for the journal Machines.

Penghao Duan is an Assistant Professor at the University of Hong Kong, specializing in turbomachinery design, CFD simulation, mesh generation, and CAE software development. His research focuses on aerothermal characteristics, loss generation in turbine blading, and numerical aero-thermal studies of high-pressure turbine nozzles. Duan also investigates robust optimization, uncertainty quantification, and aerodynamic robustness in aeroengine components. His work includes studies on turbine cascade squealer tip cooling, vortex-induced vibrations, and sensor fault diagnosis in thermal processes. Additionally, he explores drone path planning in urban wind environments and multiscale methodologies for turbine blade cooling design.