Papers
14
Total Citations
215
H-Index
6
About
Jae‐Hung Han is a leading researcher in bio-inspired aerodynamics and unmanned aerial systems, whose work has fundamentally advanced our understanding of flapping-wing flight mechanics. Based at the intersection of experimental fluid dynamics and aerospace engineering, Han has made seminal contributions to insect and bird-inspired flight aerodynamics, accumulating well over 200 citations across his key publications. Han's most influential work centers on developing refined aerodynamic models for flapping wings. His 2015 quasi-steady aerodynamic model — incorporating center-of-pressure dynamics using a dynamically scaled robotic hawkmoth wing — has become a cornerstone reference in the field with 60 citations. This was complemented by his 2016 investigation of advance ratio effects on lift augmentation in forward flight (56 citations), which employed digital particle image velocimetry to illuminate complex unsteady flow phenomena. His 2019 studies further explored wake interactions between paired flapping wings and the aerodynamic consequences of deviating wing motion. Beyond fundamental aerodynamics, Han has broadened his research portfolio into autonomous aerial systems, developing a vision-based deep learning docking system for UAVs (24 citations), and into novel engineering mechanisms, including bistable magnetic systems. His recent investigations into leading-edge curvature effects and bird-inspired ornithopter simulation demonstrate a sustained commitment to translating biological flight principles into practical, high-performance aerial vehicles.
Research Focus
Key Achievements
Top Papers
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- 3Interactions of the wakes of two flapping wings in hover27 citations · 2019
- 4Automated Aerial Docking System Using Onboard Vision-Based Deep Learning24 citations · 2022
- 5Aerodynamic effects of deviating motion of flapping wings in hovering flight11 citations · 2019
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