Transient growth and resolvent analyses are routinely used to assess nonasymptotic
properties of fluid flows. In particular, resolvent analysis can be interpreted as a special case …

Advanced measurement techniques and high-performance computing have made large
data sets available for a range of turbulent flows in engineering applications. Drawing on …

We develop a method to estimate space–time flow statistics from a limited set of known data.
While previous work has focused on modelling spatial or temporal statistics independently …

In this paper, we address the problem of how to account for second-order statistics of
turbulent flows using low-complexity stochastic dynamical models based on the linearized …

Both experiments and direct numerical simulations have been used to demonstrate that
riblets can reduce turbulent drag by as much as, but their systematic design remains an …

Recent data-driven efforts have utilized spectral decomposition techniques to uncover the
geometric self-similarity of dominant motions in the logarithmic layer, and thereby validate …

Several problems in modeling and control of stochastically driven dynamical systems can be
cast as regularized semidefinite programs. We examine two such representative problems …

The problem of low-rank approximation with convex constraints, which appears in data
analysis, system identification, model order reduction, low-order controller design, and low …

We utilize the externally forced linearized Navier-Stokes equations to study the receptivity of
pre-transitional boundary layers to persistent sources of stochastic excitation. Stochastic …

In this study, the resolvent-based estimation (RBE) is further generalised to cases with
arbitrarily sampled measurements in time, where the generalised RBE is denoted as GRBE …