| Towards an end-to-end analysis and prediction system for weather, climate, and Marine applications in the Red Sea I Hoteit, Y Abualnaja, S Afzal, B Ait-El-Fquih, T Akylas, C Antony, ... Bulletin of the American Meteorological Society 102 (1), E99-E122, 2021 | 41 | 2021 |
| CDAnet: A Physics‐Informed Deep Neural Network for Downscaling Fluid Flows MAER Hammoud, ES Titi, I Hoteit, O Knio Journal of Advances in Modeling Earth Systems 14 (12), e2022MS003051, 2022 | 7 | 2022 |
| Moving source identification in an uncertain marine flow: Mediterranean Sea application MAER Hammoud, I Lakkis, O Knio, I Hoteit Ocean Engineering 220, 108435, 2021 | 4 | 2021 |
| Variance-Based Sensitivity Analysis of Oil Spill Predictions in the Red Sea Region MAER Hammoud, H Mittal, O Le Maître, I Hoteit, O Knio Frontiers in Marine Science 10, 1185106, 2023 | 3 | 2023 |
| Continuous and discrete data assimilation with noisy observations for the Rayleigh-Bénard convection: a computational study MAER Hammoud, O Le Maître, ES Titi, I Hoteit, O Knio Computational Geosciences 27 (1), 63-79, 2023 | 3 | 2023 |
| Oil spill risk analysis for the NEOM shoreline HVR Mittal, MAER Hammoud, AK Carrasco, I Hoteit, OM Knio Scientific Reports 14 (1), 6623, 2024 | | 2024 |
| Two-step AI-aided Bayesian source identification of urban-scale pollution E Al Aawar, MAER Hammoud, I Hoteit Atmospheric Environment, 120388, 2024 | | 2024 |
| Bayesian Neural Networks for Estimating Chlorophyll-A Concentration Based on Satellite-Derived Ocean Colour Observations MAER Hammoud, N Papagiannopoulos, RJW Brewin, DE Raitsos, O Knio, ... Preprints, 2024 | | 2024 |
| Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning MAER Hammoud, N Raboudi, ES Titi, O Knio, I Hoteit arXiv preprint arXiv:2401.00916, 2024 | | 2024 |
| Downscaling Using CDAnet Under Observational and Model Noises: The Rayleigh-Benard Convection Paradigm MAER Hammoud, ES Titi, I Hoteit, O Knio arXiv preprint arXiv:2310.11945, 2023 | | 2023 |
| Downscaling using CDAnet under Observational and Model Noises: The Rayleigh-Benard Paradigm MAER Hammoud, ES Titi, I Hoteit, O Knio | | 2023 |
| Semantic Segmentation of Mesoscale Eddies in the Arabian Sea: A Deep Learning Approach MAER Hammoud, P Zhan, O Hakla, O Knio, I Hoteit Remote Sensing 15 (6), 1525, 2023 | | 2023 |
| Physics-Informed Deep Neural Network for Backward-in-Time Prediction: Application to Rayleigh–Bénard Convection MAER Hammoud, H Alwassel, B Ghanem, O Knio, I Hoteit Artificial Intelligence for the Earth Systems 2 (1), e220076, 2023 | | 2023 |
| Global Sensitivity Analysis of an Oil Spill Model: a Regularized Regression Approach HVRAI Mittal, MA Hammoud, O Maitre, I Hoteit, O Knio AGU Fall Meeting Abstracts 2021, U12A-07, 2021 | | 2021 |
| Efficient dynamical downscaling of ocean models using continuous data assimilation P Zhan, MAER Hammoud, I Hoteit 2024 Ocean Sciences Meeting, 0 | | |
Ibrahim HoteitProfessor of Earth Sciences and Engineering, Professor of Applied Mathematics and Computer ScienceDirección de correo verificada de kaust.edu.sa
