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Alexandros Kontogiannis
Alexandros Kontogiannis
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
Description and assessment of the new ONERA 2D icing suite IGLOO2D
P Trontin, A Kontogiannis, G Blanchard, P Villedieu
9th AIAA Atmospheric and Space Environments Conference, 3417, 2017
872017
An extended rough-wall model for an integral boundary layer model intended for ice accretion calculations
E Radenac, A Kontogiannis, C Bayeux, P Villedieu
2018 Atmospheric and Space Environments Conference, 2858, 2018
202018
Viscous-inviscid analysis of transonic swept wings using 2.5 D RANS and parametric shapes
A Kontogiannis, M Parenteau, E Laurendeau
AIAA Scitech 2019 Forum, 2116, 2019
122019
Robust fluid-structure interaction analysis of an adaptive airfoil using shape memory alloy actuators
T Machairas, A Kontogiannis, A Karakalas, A Solomou, V Riziotis, ...
Smart Materials and Structures 27 (10), 105035, 2018
122018
Joint reconstruction and segmentation of noisy velocity images as an inverse Navier–Stokes problem
A Kontogiannis, SV Elgersma, AJ Sederman, MP Juniper
Journal of Fluid Mechanics 944, A40, 2022
62022
Adjoint state of nonlinear vortex-lattice method for aerodynamic design and control
A Kontogiannis, E Laurendeau
AIAA Journal 59 (4), 1184-1195, 2021
52021
Physics-informed compressed sensing for PC-MRI: an inverse Navier–Stokes problem
A Kontogiannis, MP Juniper
IEEE Transactions on Image Processing 32, 281 - 294, 2022
42022
Sensitivity of Glaze Ice Accretion and Iced Aerodynamics Prediction to Roughness
A Kontogiannis, A Prakash, E Laurendeau, F Moens
26th Annual Conference of the Computational Fluid Dynamics Society of Canada …, 2018
32018
Inverse problems in magnetic resonance velocimetry: shape, velocity and boundary condition inference
A Kontogiannis, M Juniper
APS Division of Fluid Dynamics Meeting Abstracts, T07. 012, 2020
12020
Inverse problems in fluid dynamics for magnetic resonance velocimetry
A Kontogiannis
2024
Learning Bayesian digital twins of flows from PC-MRI data
A Kontogiannis, M Juniper
Bulletin of the American Physical Society, 2023
2023
Physics-enhanced velocimetry (PEV) for joint reconstruction and segmentation of noisy velocity images
M Juniper, A Kontogiannis, A Sederman, S Elgersma
Bulletin of the American Physical Society 67, 2022
2022
Physics-Informed Compressed Sensing (PICS) for joint reconstruction and segmentation of sparse PC-MRI signals: a digital-twin approach
A Kontogiannis, M Juniper
Bulletin of the American Physical Society 67, 2022
2022
Inverse Problems in Magnetic Resonance Velocimetry: Shape, Forcing and Boundary Condition Inference
A Kontogiannis, M Juniper
Fluids Engineering Division Summer Meeting 85291, V002T04A018, 2021
2021
Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks
U Sengupta, A Kontogiannis, MP Juniper
arXiv preprint arXiv:2107.07863, 2021
2021
Physics-informed compressed sensing: reconstruction of magnetic resonance velocimetry signals as an inverse Navier-Stokes problem
A Kontogiannis, M Juniper
APS Division of Fluid Dynamics Meeting Abstracts, H20. 001, 2021
2021
Shape Sensitivity Analysis and Optimization in Fluid Dynamics
A Kontogiannis
2019
Ανάπτυξη Μεθόδου Αλληλεπίδρασης Ροής-Δομής για Ανάλυση Αεροτομών Δύο Στοιχείων Μεταβαλλόμενης Γεωμετρίας
A Kontogiannis
University of Patras, 2017
2017
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