Research

The wind blows where it wills, and you hear the sound of it, but you do not know where it comes from and where it goes; 

                                                                -- John 3:8 a

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Two-dimensional Turbulence:


The majority of fluid flows in nature and engineering applications are turbulent. Turbulent flows are distinct because they display a characteristic cascade of energy. We use a thin-layer electromagnetic flow device to study two-dimensional turbulence. 
With the help of filter space techniques (FST) and a geometric perception of the turbulence cascade, we defined the efficiency of turbulence cascades. Moreover, my work revealed the missing piece in the well-known ''thinning mechanism".  
Currently, we are taking initiative steps of utilizing spatio-temporal data mining techniques to understand the Lagrangian nature of turbulent flows. 


Transport of non-spherical swimmers in turbulent flows:


The majority of fluid flows in nature and engineering applications are turbulent. Turbulent flows are distinct because they display a characteristic cascade of energy. We use a thin-layer electromagnetic flow device to study two-dimensional turbulence. 
With the help of filter space techniques (FST) and a geometric perception of the turbulence cascade, we defined the efficiency of turbulence cascades. Moreover, my work revealed the missing piece in the well-known ''thinning mechanism".  
Currently, we are taking initiative steps of utilizing spatio-temporal data mining techniques to understand the Lagrangian nature of turbulent flows. 

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Measuring and Simulating Social-distanced Crowds

Modeling a social-distanced crowd is of great importance because social distancing is one of the promising ways of reducing disease transmission during pandemic, post-pandemic, and flu season. Within a social-distanced crowd, individuals move and maneuver with an additional deliberate intention of keeping a minimum safety distance from their neighbors, which can lead to fundamentally unique behaviors. Moreover, the extra "buffer" space around the individuals imposes a significant constrain on transportation mobility. We are facing a situation where we do not have means that would help us to assess, estimate, and model operations of walking crowds in the new reality of corona-impacted conditions. Our group is using both numerical modeling and advanced computer vision techniques to tackle this issue.