Hani Nassif

According to our database, Hani Nassif authored at least 13 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A two-stage Weibull-gamma degradation model with distinct failure mechanism initiation and propagation stages.

Jian Zhou, Zhanhang Li, Hani Nassif, David W. Coit

Reliab. Eng. Syst. Saf., 2025

Enhanced Corrosion Testing and Analysis for Steel Rebars in Reinforced Concrete Bridge Decks Based on Effective Pre-Cracking.

Zhanhang Li, Jian Zhou, Hasan Al-nawadi, Hani Nassif, David W. Coit

Qual. Reliab. Eng. Int., 2025

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., May, 2024

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., January, 2024

2023

Fusing physics-inferred information from stochastic model with machine learning approaches for degradation prediction.

Zhanhang Li, Jian Zhou, Hani Nassif, David W. Coit, Jinwoo Bae

Reliab. Eng. Syst. Saf., April, 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

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

Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing, 2023

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

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

Proceedings of the ICMLSC 2022: The 6th International Conference on Machine Learning and Soft Computing, Haikou, China, January 15, 2022

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, Hani Nassif, Xuegang (Jeff) Ban

CoRR, 2020

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, Hani Nassif, Joseph Y. J. Chow

CoRR, 2020

2008

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