A State-Space Approach for Deriving Bridge Displacement from Acceleration. - Mayrai Gindy; Richard J. Vaccaro; Hani Nassif; Jana Velde (Comput. Aided Civ. Infrastructure Eng., 2008)

Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles. - Jingqin Gao; Abhinav Bhattacharyya; Ding Wang; Nick Hudanich; Siva Sooryaa; Muruga Thambiran; Suzana Duran Bernardes; Chaekuk Na; Fan Zuo; Zilin Bian; Kaan Ozbay; Shri Iyer; et al. (CoRR, 2020)

Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19. - Ding Wang; Fan Zuo; Jingqin Gao; Brian Yueshuai He; Zilin Bian; Suzana Duran Bernardes; Chaekuk Na; Jingxing Wang; John Petinos; Kaan Ozbay; Joseph Y. J. Chow; Shri Iyer; et al. (CoRR, 2020)

A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (ICMLSC, 2022)

A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (PAKDD (3), 2022)

Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Ankit Darekar; Hani Nassif; Jason T. L. Wang (ECML/PKDD (5), 2022)

Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (ICMLSC, 2023)

Deep Learning-Based Downscaling of Temperatures for Monitoring Local Climate Change Using Global Climate Simulation Data. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (World Sci. Annu. Rev. Artif. Intell., 2023)

Fusing physics-inferred information from stochastic model with machine learning approaches for degradation prediction. - Zhanhang Li; Jian Zhou 010; Hani Nassif; David W. Coit; Jinwoo Bae (Reliab. Eng. Syst. Saf., 2023)

Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (Knowl. Inf. Syst., 2024)

Downscaling daily wind speed with Bayesian deep learning for climate monitoring. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (Int. J. Data Sci. Anal., 2024)

Enhanced Corrosion Testing and Analysis for Steel Rebars in Reinforced Concrete Bridge Decks Based on Effective Pre-Cracking. - Zhanhang Li; Jian Zhou 010; Hasan Al-nawadi; Hani Nassif; David W. Coit (Qual. Reliab. Eng. Int., 2025)

A two-stage Weibull-gamma degradation model with distinct failure mechanism initiation and propagation stages. - Jian Zhou 010; Zhanhang Li; Hani Nassif; David W. Coit (Reliab. Eng. Syst. Saf., 2025)