Publications

Abed Hammoud, Nikolaos Papagiannopoulos, George Krokos, Robert J W Brewin, Dionysios E Raitsos, Omar Knio, Ibrahim Hoteit (2025). On the potential of Bayesian neural networks for estimating chlorophyll-a concentration from satellite data. in MDPI-RS.

Issam Lakkis, Alexios Rustom, Abed Hammoud, Leila Issa, Omar Knio, Ibrahim Hoteit (2025). Identification of Moving Sources in Stochastic Fields: A Bayesian Inferential Approach with Application to Marine Traffic in the Mediterranean Sea. in Comp. Geo..

Abed Hammoud, Edriss S. Titi, Omar Knio, Ibrahim Hoteit (2025). Downscaling Using CDAnet Under Observational and Model Noises: The Rayleigh-Bénard Convection Paradigm. in Comp. Geo..

Abed Hammoud, Naila Raboudi, Edriss S. Titi, Omar Knio, Ibrahim Hoteit (2024). Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning. in JAMES.

Elissar ElAawar, Abed Hammoud, Ibrahim Hoteit (2024). Two-step AI-aided Bayesian source identification of urban-scale pollution. in Atmospheric Environment.

HVR Mittal, Abed Hammoud, Ana Kenia Carassco Franco, Ibrahim Hoteit, Omar Knio (2024). Oil spill risk analysis for the NEOM shoreline. in Scientific Reports.

Abed Hammoud, HVR Mittal, Olivier Le Maître, Ibrahim Hoteit, Omar Knio (2023). Global Sensitivity Analysis of an Oil Spill Model: a Regularized Regression Approach.. in Frontiers in Marine Science.

Abed Hammoud, Peng Zhan, Omar Hakla, Omar Knio, Ibrahim Hoteit (2023). Semantic Segmentation of Mesoscale Eddies in the Arabian Sea: A Deep Learning Approach. in MDPI RS.

Abed Hammoud, Edriss S. Titi, Ibrahim Hoteit, Omar Knio (2023). CDAnet: A Physics-Informed Deep Neural Network for Downscaling Fluid Flows. in JAMES.

Abed Hammoud, Humam Al-Wassel, Bernard Ghanem, Omar Knio, Ibrahim Hoteit (2023). A Physics-Informed Deep Neural Network for Backward in Time Prediction: Application to Rayleigh-Bénard Convection. in AMS AIES.