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    Hybrid Hydrological Data-Driven Approach for Daily Streamflow Forecasting 

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 002
    Author(s): Maysara Ghaith; Ahmad Siam; Zhong Li; Wael El-Dakhakhni
    Publisher: ASCE
    Abstract: Hydrological forecasting is key for water resources allocation and flood risk management. Although a number of advanced hydrological forecasting methods have been developed in the past, daily (or subdaily) forecasting ...
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    Probabilistic Resilience-Guided Infrastructure Risk Management 

    Source: Journal of Management in Engineering:;2020:;Volume ( 036 ):;issue: 006
    Author(s): Shady Salem; Ahmad Siam; Wael El-Dakhakhni; Michael Tait
    Publisher: ASCE
    Abstract: The increased frequency and magnitude of natural and anthropogenic hazard events that affected infrastructure systems over the past two decades have highlighted the need for more effective risk management strategies. Such ...
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    Machine Learning Algorithms for Construction Projects Delay Risk Prediction 

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 001
    Author(s): Ahmed Gondia; Ahmad Siam; Wael El-Dakhakhni; Ayman H. Nassar
    Publisher: ASCE
    Abstract: Projects delays are among the most pressing challenges faced by the construction sector attributed to the sector’s complexity and its inherent delay risk sources’ interdependence. Machine learning offers an ideal set of ...
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