Marwan Fahs
researcher ORCID ID = 0000-0003-0454-6476
Facts
9 properties- Instance of
- human
- Date of birth
- 1977
- Occupation
- researcher
- Employer
- University of Strasbourg, Lebanese International University - Beirut Campus[3]
- Educated at
- University of Strasbourg
- Doctoral advisor
- Philippe Ackerer[4]
- Maintained by WikiProject
- WikiProject Mathematics[7]
🏷️ Also known as
en Marwan Fahs
🔖 Identifiers · 10
- ISNI
- 0000000357395296
- ORCID iD
- 0000-0003-0454-6476
- VIAF cluster ID
- 195118223
- GND ID
- 1406100196
- Dimensions author ID
- 07626260143.15
- HAL author ID
- marwan-fahs
- IdRef ID
- 128250348
- Loop ID
- 1010447
- Scopus author ID
- 23993788800
- ZbMATH author ID
- fahs.marwan
🔗 Connections
Author of 9
A mixed pressure-velocity formulation to model flow in heterogeneous porous media with physics-informed neural networks,
Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media,
An improved Kalman filtering approach for the estimation of unsaturated flow parameters by assimilating photographic imaging data,
Assimilating multivariate remote sensing data into a fully coupled subsurface-land surface hydrological model,
Bayesian sparse polynomial chaos expansion for global sensitivity analysis,
Comparison of the Fuzzy Analytic Hierarchy Process (F-AHP) and Fuzzy Logic for Flood Exposure Risk Assessment in Arid Regions,
Global sensitivity analysis and Bayesian parameter inference for solute transport in porous media colonized by biofilms,
Modeling fluid flow in heterogeneous porous media with physics-informed neural networks: Weighting strategies for the mixed pressure head-velocity formulation
+1 more
← Authored by 9
A mixed pressure-velocity formulation to model flow in heterogeneous porous media with physics-informed neural networks,
Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media,
An improved Kalman filtering approach for the estimation of unsaturated flow parameters by assimilating photographic imaging data,
Assimilating multivariate remote sensing data into a fully coupled subsurface-land surface hydrological model,
Bayesian sparse polynomial chaos expansion for global sensitivity analysis,
Comparison of the Fuzzy Analytic Hierarchy Process (F-AHP) and Fuzzy Logic for Flood Exposure Risk Assessment in Arid Regions,
Global sensitivity analysis and Bayesian parameter inference for solute transport in porous media colonized by biofilms,
Modeling fluid flow in heterogeneous porous media with physics-informed neural networks: Weighting strategies for the mixed pressure head-velocity formulation
+1 more
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