Papers
1
Total Citations
2
H-Index
1
About
Xuan-Quy Dao is a researcher whose work sits at the intersection of fluid dynamics and control theory, with a particular focus on drag reduction in wall-bounded flows. His key contributions center on developing innovative, vision-based approaches to control complex flow phenomena, most notably in the context of the plane Poiseuille flow. In his 2012 paper, "Drag reduction of the plane Poiseuille flow by partitioned visual servo control," Dao proposed a novel method to minimize drag by employing visual measurements to estimate the flow state and then leveraging visual servoing techniques to derive an efficient control law. This work, which has garnered 2 citations, represents a creative fusion of computer vision and fluid mechanics, offering a non-intrusive alternative to traditional sensor-based flow control. By partitioning the control problem, Dao's approach demonstrates how visual feedback can be systematically exploited to achieve significant drag reduction, a challenge with profound implications for energy efficiency in pipelines and industrial systems. His research highlights a promising pathway for integrating advanced control strategies with optical sensing in fluid dynamics.
Research Focus
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Top Papers
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