Dr. Zelong Yuan is a tenure-track Associate Professor and Master’s Supervisor at Harbin Engineering University, and a Postdoctoral Research Fellow at the National University of Singapore. He received his B.Eng., M.Eng., and Ph.D. degrees from Nanjing University of Aeronautics and Astronautics, Northwestern Polytechnical University, and Southern University of Science and Technology, respectively. His research lies at the intersection of artificial intelligence and fluid mechanics, with a focus on AI for Fluid Mechanics. His interests include machine-learning-assisted turbulence modeling, deep-learning-driven large-eddy simulation, multiscale turbulence modeling, complex vortical-flow dynamics, and hydrodynamic performance analysis of marine propulsion systems. He has conducted systematic research on data-driven turbulence modeling and intelligent flow prediction, proposing a deconvolutional neural network turbulence model and a dynamic iterative deconvolution algorithm that integrate deep learning with traditional CFD methods. Dr. Yuan has published over 30 SCI-indexed papers in leading journals, including Journal of Fluid Mechanics, Physical Review Fluids, Physics of Fluids, and Acta Mechanica Sinica, with more than 1,000 citations. He brings strong expertise in turbulence, CFD, artificial intelligence, and marine hydrodynamics.