Dehong Fang

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About

Dehong Fang is a leading researcher in biomimetic hydrodynamics, with a primary focus on fish swimming mechanics and the development of bio-inspired robotic systems. His work bridges computational fluid dynamics and biological propulsion, aiming to uncover the fundamental principles that govern efficient aquatic locomotion. Fang’s most notable contribution is his pioneering use of the immersed boundary–lattice Boltzmann method combined with dynamic mode decomposition to investigate flow patterns around bionic fish—a study that has garnered 43 citations and established a new framework for analyzing vortex dynamics and energy transfer in swimming organisms. More recently, his spatio-temporal analysis of shear traction dynamics on fish body surfaces (2025) has advanced the understanding of surface stress distribution, offering critical insights for the shape and structural design of robotic fish and the energy-efficient control of schooling robotic fish. By moving beyond conventional experimental approaches, Fang’s work provides a high-fidelity computational toolkit that directly informs the engineering of next-generation autonomous underwater vehicles. His research is essential reading for students and engineers seeking to merge biological principles with practical robotics, promising more agile, quieter, and more efficient aquatic machines.