Particle image velocimetry (PIV) has become the chief experimental technique for velocity
field measurements in fluid flows. The technique yields quantitative visualizations of the …

Dimensionality reduction is the essence of many data processing problems, including
filtering, data compression, reduced-order modeling and pattern analysis. While traditionally …

Flow around a circular cylinder has been experimentally studied at Reynolds numbers of
Re= 4× 10 3 and Re= 8× 10 3 using Particle Image Velocimetry (PIV). The Artificial Neural …

Adaptive control of flow separation based on online dynamic mode decomposition (DMD) is
formulated and implemented on a canonical separated laminar boundary layer via a pulse …

Experimental spatio-temporal flow data often contain gaps or other types of undesired
artifacts. To reconstruct flow data in the compromised or missing regions, a data completion …

Dynamics of thermoacoustics oscillations occurring in a liquid fueled aeronautical gas
turbine model combustor burning Jet A fuel were investigated experimentally at a pressure …

Experimental flow visualization is a valuable tool for analyzing microfluidics and nanofluidics
in a wide variety of applications. Since the late 1990s, considerable advances in optical …

Estimating the full state of physical systems, including thermal and flow status, from sparse
measurements of limited sensors is a critical technology for perception and control. Neural …

The supersonic inflow passes through the shock train in the isolator of the scramjet to
complete deceleration and pressurization, followed by combustion and energy release …

In the face of mounting economic constraints, researchers are increasingly turning to data-
driven methods for reconstructing unknown global fields from limited data. While traditional …