Mahmoud Ayyad

• Ph.D. (2023) Stevens Institute of Technology (Civil, Environmental, and Ocean Engineering)
• M.S. (2017) Cairo University (Engineering Mathematics)
• B.S. (2013) Cairo University (Aerospace Engineering)

Conference Proceeding

1. Elrefaie, M.; Ayman, T.; Elrefaie, M. A.; Sayed, E.; Ayyad, M.; Abdelrahman, M. M. (2024). Surrogate Modeling of the Aerodynamic Performance for Airfoils in Transonic Regime. AIAA SciTech Forum and Exposition, 2024.
2. Ahsan, N.; Ayyad, M.; Hajj, M.; Akhtar, I. (2023). Recurrent-Neural Network Prediction of Lift on an Oscillating Plate. AIAA SciTech Forum and Exposition, 2023.
3. Ayyad, M.; Ahmed, A.; Yang, L.; Hajj, M.; Datla, R.; Zuo, L. (2023). System Identification of OSWEC Response Using Physics-Informed Neural Network. OCEANS 2023 - Limerick, OCEANS Limerick 2023.

Dataset

1. Ayyad, M.; Temimi, M.; Abdelkader, M.; Henein, M. (2025). RIce-Net dataset: River Ice detection. HydroShare Resources. HydroShare.
   https://doi.org/10.4211/hs.ff4e9c4e87ef4d7d923efe77f5ed2b83.

Journal Article

1. Chen, Z.; Orton, P.; Georgas, N.; Ayyad, M.; Hajj, M. (2026). Advantages and Challenges of Mid-latitude Super-Ensemble Coastal Water Level Forecasting. Weather and Forecasting. American Meteorological Society.
   https://doi.org/10.1175/waf-d-26-0063.1.
2. Trinh, T. T.; Orton, P.; Ayyad, M.; Pattiaratchi, C.; Talke, S. A. (2026). Historical resurgences after tropical cyclones in the Mid-Atlantic Bight: A primary mechanism and hotspot. Continental Shelf Research (vol. 300).
3. Henein, M. M.; Ayyad, M.; Liu, K.; Temimi, M. (2026). Diffusion-leveraged GAN dehazing driven by classification: a two-stage framework for real-world monitoring imagery. Machine Vision and Applications (2 ed., vol. 37).
4. Alqaleiby, H.; Ayyad, M.; Hajj, M. (2025). Optimal design parameter discovery for nonlinear energy harvesters using neural optimization machine. Applied Energy (vol. 391, pp. 125941). Elsevier.
5. Ayyad, M.; Temimi, M.; Abdelkader, M.; Henein, M. M.; Engel, F. L.; Lotspeich, R. R.; Eggleston, J. R. (2025). RIce-Net: Integrating ground-based cameras and machine learning for automated river ice detection. Environmental Modelling and Software (vol. 190).
6. Ayyad, M.; Yang, L.; Ahmed, A.; Shalaby, A.; Huang, J.; Mi, J.; Datla, R.; Zuo, L.; Hajj, M. (2025). System identification of oscillating surge wave energy converter using physics-informed neural network. Applied Energy. Elsevier.
7. Alqaleiby, H.; Ayyad, M.; Hajj, M.; Ragab, S. A.; Zuo, L. (2024). Effects of piezoelectric energy harvesting from a morphing flapping tail on its performance. Applied Energy (vol. 353).
8. Ayyad, M.; Hajj, M. R.; Marsooli, R. (2023). Climate change impact on hurricane storm surge hazards in New York/New Jersey Coastlines using machine-learning. npj Climate and Atmospheric Science (1 ed., vol. 6). Springer Science and Business Media LLC.
   https://doi.org/10.1038/s41612-023-00420-4.
9. Jamous, M.; Marsooli, R.; Ayyad, M. (2023). Global sensitivity and uncertainty analysis of a coastal morphodynamic model using Polynomial Chaos Expansions. Environmental Modelling and Software (vol. 160).
10. Ayyad, M.; Orton, P.; El Safty, H.; Chen, Z.; Hajj, M. (2022). Ensemble forecast for storm tide and resurgence from Tropical Cyclone Isaias. Weather and Climate Extremes (vol. 38).
11. Ayyad, M.; Hajj, M.; Marsooli, R. (2022). Machine learning-based assessment of storm surge in the New York metropolitan area. Scientific Reports (1 ed., vol. 12). Springer Science and Business Media LLC.
    https://doi.org/10.1038/s41598-022-23627-6.
12. Ayyad, M.; Hajj, M.; Marsooli, R. (2022). Artificial intelligence for hurricane storm surge hazard assessment. Ocean Engineering (vol. 245).
13. Ayyad, M.; Hajj, M.; Marsooli, R. (2021). Spatial Variation in Sensitivity of Hurricane Surge Characteristics to Hurricane Parameters. Journal of Engineering Mechanics (10 ed., vol. 147). American Society of Civil Engineers (ASCE).
    https://doi.org/10.1061/(asce)em.1943-7889.0001984.
14. Ayyad, M.; Guaily, A.; Hassanein, M. A. (2021). Stabilized variational formulation of an oldroyd-B fluid flow equations on a Graphic Processing Unit (GPU) architecture. Computer Physics Communications (vol. 258).