Dynamic mode decomposition (DMD) represents an effective means for capturing the
essential features of numerically or experimentally generated flow fields. In order to achieve …

Smart grid (SG) represents a large-scale network system with the tight integration of a
physical power network and an information network, which makes it more vulnerable to …

Millimeter Wave (mmWave) massive Multiple Input Multiple Output (MIMO) systems realizing
directive communication over large bandwidths via Hybrid analog and digital BeamForming …

We address the problem of distributed unconstrained convex optimization under separability
assumptions, ie, the framework where each agent of a network is endowed with a local …

New methods that exploit sparse structures arising in smart grid networks are proposed for
the state estimation problem when data injection attacks are present. First, construction …

We propose a methodology for studying the performance of common splitting methods
through semidefinite programming. We prove tightness of the methodology and demonstrate …

Non-negative matrix factorization (NMF) is a popular method for learning interpretable
features from non-negative data, such as counts or magnitudes. Different cost functions are …

The buffet flow field around supercritical airfoils is dominated by self-sustained shock wave
oscillations on the suction side of the wing. Theories assume that this unsteadiness is driven …

Numerical simulations are carried out to investigate the flow around a stationary sphere in a
pipe. Seven sphere diameters d= 0.1D–0.9D (D is the diameter of the pipe) are chosen to …

In this paper, we propose a distributed algorithm to solve the Security Constrained Optimal
Power Flow (SC-OPF) Problem. We consider a network of devices, each with its own …