Georgios Rigas

Senior Lecturer

Imperial College London

United Kingdom

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Georgios Rigas is a Senior Lecturer at Imperial College London. His research focuses on machine learning applications in fluid dynamics, including optimization strategies for flow mechanisms and control systems in complex environments. Recent publications include assessments of turbulent flows, surrogate modeling for hypersonic flows, and advancements in reinforcement learning techniques for fluid dynamics applications.

Georgios Rigas

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Articles (21)

Machine learning in fluid dynamics: A critical assessment

Optimal transitional mechanisms of incompressible separated shear layers subject to external disturbances

Spanwise Nonuniform Surface Temperature Distributions for High-Speed Boundary-Layer Transition Control

An adaptive learning strategy for surrogate modeling of high-dimensional functions - Application to unsteady hypersonic flows in chemical nonequilibrium

Near wake coherent structures of a turbulent axisymmetric bluff body wake

Reinforcement Learning of Chaotic Systems Control in Partially Observable Environments

Turbulence model augmented physics-informed neural networks for mean-flow reconstruction

Active flow control for bluff body drag reduction using reinforcement learning with partial measurements

Adjoint-based linear sensitivity of a supersonic boundary layer to steady wall blowing–suction/heating–cooling

Adjoint-based optimisation of time- and span-periodic flow fields with Space–Time Spectral Method: Application to non-linear instabilities in compressible boundary layer flows

Editorial: Announcing Methods: New Experiments, Algorithms, and Theory (NEAT)

Data-driven framework for input/output lookup tables reduction: Application to hypersonic flows in chemical nonequilibrium

Mean flow reconstruction of unsteady flows using physics-informed neural networks

Efficient global resolvent analysis via the one-way Navier–Stokes equations

Harmonic forcing of a laminar bluff body wake with rear pitching flaps

An empirical mean-field model of symmetry-breaking in a turbulent wake

Optimal eddy viscosity for resolvent-based models of coherent structures in turbulent jets

Nonlinear input/output analysis: application to boundary layer transition

Nonlinear stochastic modelling with Langevin regression

Spectral proper orthogonal decomposition of compressor tip leakage flow

Lift-up, Kelvin–Helmholtz and Orr mechanisms in turbulent jets

Collaborators (4)

Taraneh Sayadi

Steve Brunton

Kai Fukami

Aaron Towne

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