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Alejandro Güemes
Alejandro Güemes
Data Scientist, Boeing Research & Technology Europe
Verified email at boeing.com
Title
Cited by
Cited by
Year
Convolutional-network models to predict wall-bounded turbulence from wall quantities
L Guastoni, A Güemes, A Ianiro, S Discetti, P Schlatter, H Azizpour, ...
Journal of Fluid Mechanics 928, 2021
1562021
From coarse wall measurements to turbulent velocity fields through deep learning
A Güemes, S Discetti, A Ianiro, B Sirmacek, H Azizpour, R Vinuesa
Physics of Fluids 33 (7), 075121, 2021
1032021
Sensing the turbulent large-scale motions with their wall signature
A Güemes, S Discetti, A Ianiro
Physics of Fluids 31 (12), 2019
412019
Super-resolution generative adversarial networks of randomly-seeded fields
A Güemes, C Sanmiguel Vila, S Discetti
Nature Machine Intelligence 4 (12), 1165-1173, 2022
27*2022
On the uncertainty of boundary-layer parameters from Ensemble PTV data
R Castellanos, CS Vila, A Güemes, S Discetti
Measurement Science and Technology 32 (8), 084006, 2021
112021
Flow organization in the wake of a rib in a turbulent boundary layer with pressure gradient
A Güemes, CS Vila, R Örlü, R Vinuesa, P Schlatter, A Ianiro, S Discetti
Experimental Thermal and Fluid Science 108, 115-124, 2019
112019
Predicting the near-wall region of turbulence through convolutional neural networks
AG Balasubramanian, L Guastoni, A Güemes, A Ianiro, S Discetti, ...
arXiv preprint arXiv:2107.07340, 2021
42021
Experimental Assessment of RANS Models for Wind Load Estimation over Solar-Panel Arrays
A Güemes, P Fajardo, M Raiola
Applied Sciences 11 (6), 2496, 2021
42021
Experimental assessment of large-scale motions in turbulent boundary layers
A Guemes, A Ianiro, S Discetti
42019
Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks
ÁM Soto, A Güemes, S Discetti
Computer Methods in Applied Mechanics and Engineering 419, 116652, 2024
32024
Non-intrusive sensing in turbulent boundary layers via deep fully-convolutional neural networks
L Guastoni, AG Balasubramanian, A Güemes, A Ianiro, S Discetti, ...
arXiv preprint arXiv:2208.06024, 2022
32022
Systems and methods for predicting flight data
JL Leones, NP Ortiz, PC Alvarez, PCA Esteban, RAT Diaz, A Guemes
US Patent App. 17/399,816, 2022
12022
GANs-based PIV resolution enhancement without the need of high-resolution input
A Güemes, CS Vila, S Discetti
14th International Symposium on Particle Image Velocimetry 1 (1), 2021
12021
Data-driven methodology for uncertainty quantification of aircraft trajectory predictions
A Muñoz Hernández, M Polaina, A Güemes, MF Soler Arnedo, ...
2021 IEEE/AIAA 40th Digital Avionics Systems Conference: San Antonio, TX …, 2021
12021
Real-time aircraft flight delay prediction
AM Hernandez, MP Morales, AG Jiménez
US Patent App. 17/664,187, 2023
2023
Systems and methods of updating flight plans based on regulated areas
PC Alvarez, JL Leones, NP Ortiz, AG Jimenez
US Patent App. 18/301,457, 2023
2023
Dynamic selection of an aeronautical data provider
P Costas, JL Leones, AG Jimenez
US Patent App. 17/679,853, 2023
2023
Synchronized measurement of instantaneous convective heat flux and velocity fields in wall-bounded flows
F Foroozan, A Güemes, M Raiola, R Castellanos, S Discetti, A Ianiro
Measurement Science and Technology 34 (12), 125301, 2023
2023
Fully-convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers
L Guastoni, A Geetha Balasubramanian, A Güemes, A Ianiro, S Discetti, ...
2023
Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks
A Moreno Soto, A Güemes, S Discetti
Bulletin of the American Physical Society, 2022
2022
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Articles 1–20