Geng X, Katul G, Gerges F, Bou-Zeid E, Nassif H, Boufadel M. 2021. A kernel-modulated SIR model for Covid-19 contagious spread from county to continent. Proceedings of the National Academy of Sciences of the United States of America. 118. doi:10.1073/pnas.2023321118. Referenced from doi.org: A kernel-modulated SIR model for Covid-19 contagious spread from county to continent.

Geng X, Gerges F, Katul G, Bou-Zeid E, Nassif H, Boufadel M. 2021. Population agglomeration is a harbinger of the spatial complexity of COVID-19. Chemical Engineering Journal. 420. doi:10.1016/j.cej.2020.127702. Referenced from doi.org: Population agglomeration is a harbinger of the spatial complexity of COVID-19.

Gerges F, Llaguno-Munitxa M, Zondlo MA, Boufadel MC, Bou-Zeid E. 2024. Weather and the City: Machine Learning for Predicting and Attributing Fine Scale Air Quality to Meteorological and Urban Determinants. Environmental Science & Technology. 58:6313–6325. doi:10.1021/acs.est.4c00783. Referenced from doi.org: Weather and the City: Machine Learning for Predicting and Attributing Fine Scale Air Quality to Meteorological and Urban Determinants.

Gerges F, Boufadel MC, Bou-Zeid E, Nassif H, Wang JTL. 2024. Downscaling daily wind speed with Bayesian deep learning for climate monitoring. International Journal of Data Science and Analytics. 17:411 – 424. doi:10.1007/s41060-023-00397-6. Referenced from www.scopus.com: Downscaling daily wind speed with Bayesian deep learning for climate monitoring.

Gerges F, Boufadel M, Bou-Zeid E, Nassif H, Wang J. 2023. Downscaling daily wind speed with Bayesian deep learning for climate monitoring. International Journal of Data Science and Analytics. doi:10.1007/s41060-023-00397-6. Referenced from doi.org: Downscaling daily wind speed with Bayesian deep learning for climate monitoring.

Gerges F, Boufadel M, Bou-Zeid E, Nassif H, Wang J. 2022. A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change. pp. 1–7. Referenced from doi.org: A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change.

Gerges F, Boufadel M, Bou-Zeid E, Nassif H, Wang J. 2024. Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data. Knowledge and Information Systems. 66:613–633. doi:10.1007/s10115-023-01955-x. Referenced from doi.org: Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data.

Gerges F, Boufadel M, Bou-Zeid E, Darekar A, Nassif H, Wang J. 2023. Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring. Vol. 13717 LNAI. pp. 565–580. Referenced from doi.org: Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring.

Gerges F, Boufadel M, Bou-Zeid E, Nassif H, Wang J. 2022. A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification. Vol. 13282 LNAI. pp. 55–66. Referenced from doi.org: A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification.

Gerges F, Boufadel M, Bou-Zeid E, Nassif H, Wang J. 2023. Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data. pp. 102–109. Referenced from doi.org: Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data.

Gerges F, Assaad R, Nassif H, Bou-Zeid E, Boufadel M. 2023. A perspective on quantifying resilience: Combining community and infrastructure capitals. Science of the Total Environment. 859. doi:10.1016/j.scitotenv.2022.160187. Referenced from doi.org: A perspective on quantifying resilience: Combining community and infrastructure capitals.

Ghannam K, Poggi D, Bou-Zeid E, Katul G. 2020. Inverse Cascade Evidenced by Information Entropy of Passive Scalars in Submerged Canopy Flows. Geophysical Research Letters. 47. doi:10.1029/2020GL087486. Referenced from doi.org: Inverse Cascade Evidenced by Information Entropy of Passive Scalars in Submerged Canopy Flows.

Ghannam K, Katul G, Bou-Zeid E, Gerken T, Chamecki M. 2018. Scaling and similarity of the anisotropic coherent eddies in near-surface atmospheric turbulence. Journal of the Atmospheric Sciences. 75:943–964. doi:10.1175/JAS-D-17-0246.1. Referenced from doi.org: Scaling and similarity of the anisotropic coherent eddies in near-surface atmospheric turbulence.

Ghannam K, Bou-Zeid E. 2021. Baroclinicity and directional shear explain departures from the logarithmic wind profile. Quarterly Journal of the Royal Meteorological Society. 147:443–464. doi:10.1002/qj.3927. Referenced from doi.org: Baroclinicity and directional shear explain departures from the logarithmic wind profile.

Gideon R, Bou-Zeid E. 2021. Collocating offshore wind and wave generators to reduce power output variability: A Multi-site analysis. Renewable Energy. 163:1548–1559. doi:10.1016/j.renene.2020.09.047. Referenced from doi.org: Collocating offshore wind and wave generators to reduce power output variability: A Multi-site analysis.

González J, Ramamurthy P, Bornstein R, Chen F, Bou-Zeid E, Ghandehari M, Luvall J, Mitra C, Niyogi D. 2021. Urban climate and resiliency: A synthesis report of state of the art and future research directions. Urban Climate. 38. doi:10.1016/j.uclim.2021.100858. Referenced from doi.org: Urban climate and resiliency: A synthesis report of state of the art and future research directions.