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    A Coupled Genetic Programming Monte Carlo Simulation–Based Model for Cost Overrun Prediction of Thermal Power Plant Projects 

    Source: Journal of Construction Engineering and Management:;2022:;Volume ( 148 ):;issue: 008:;page 04022073
    Author(s): Muhammad Saiful Islam; Saeed Reza Mohandes; Amir Mahdiyar; Alireza Fallahpour; Ayokunle Olubunmi Olanipekun
    Publisher: ASCE
    Abstract: Globally, power projects are prone to cost overrun projects. Within the body of knowledge, previous studies have paid less attention to predicting the cost overruns to assist contingency cost planning. Particularly, in ...
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    Fuzzy Approach for Evaluating Critical Factors in the Design and Construction of Conventional Wastewater Treatment Plants 

    Source: Journal of Infrastructure Systems:;2024:;Volume ( 030 ):;issue: 001:;page 04023039-1
    Author(s): Muhammad Saiful Islam; Saidur Rahman Chowdhury; Md. Maksudul Islam
    Publisher: ASCE
    Abstract: Conventional wastewater treatment plant (CWTP) construction and operation are challenging, and identifying critical factors is a foremost task in its initial stage. This study aims to evaluate the critical factors considering ...
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    Cost Overrun Risk Assessment for Healthcare Projects: A Modified Fuzzy Group Decision-Making Approach 

    Source: Journal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 012:;page 04024168-1
    Author(s): Muhammad Saiful Islam; Mohamed Salem; Mohamed Tantawy; Mohamed Salah
    Publisher: American Society of Civil Engineers
    Abstract: This study investigated the myriad risk factors contributing to cost overruns in healthcare construction projects. It determined the impact of managerial, financial, workerpower, and environmental considerations, focusing ...
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    Subcontractors’ BIM Deployment in Large-Scale Construction Projects in the MENA Region 

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 006:;page 04025061-1
    Author(s): Mohamed Salem; Mohammad Sadeq Abdullah; Muhammad Saiful Islam; Salah Omar Said
    Publisher: American Society of Civil Engineers
    Abstract: This study aims to investigate the effects of coercive, mimetic, and normative pressures on the awareness, adoption, training, visualization, and productivity of building information modeling (BIM) in the construction ...
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    Modified Fuzzy Group Decision-Making Approach to Cost Overrun Risk Assessment of Power Plant Projects 

    Source: Journal of Construction Engineering and Management:;2019:;Volume ( 145 ):;issue: 002
    Author(s): Muhammad Saiful Islam; Madhav P. Nepal; Martin Skitmore
    Publisher: American Society of Civil Engineers
    Abstract: Cost overrun risk assessment in the preliminary stages of a power plant project is laden with subjectivity, uncertainty, imprecision, and the vagueness of expert judgment. Current fuzzy approaches to risk assessment in ...
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    A Framework for Assessing the Impacts of COVID-19 on the Construction Industries in Developing Countries 

    Source: Journal of Performance of Constructed Facilities:;2024:;Volume ( 038 ):;issue: 005:;page 04024037-1
    Author(s): Muhammad Saiful Islam; Laith A. Hadidi; Md. Bashirul Haque; Waleed Umer; Prananda Navitas
    Publisher: American Society of Civil Engineers
    Abstract: The COVID-19 pandemic has struck the construction industry gravely. Accordingly, numerous studies reported the impact of COVID-19 on various aspects of the construction industry and projects. However, there exists no ...
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    Grasping the Nonconformities in Building Construction Supply Chains 

    Source: Journal of Performance of Constructed Facilities:;2021:;Volume ( 035 ):;issue: 001:;page 04020141
    Author(s): Muhammad Saiful Islam; Md Maksudul Islam; Habibur R. T. Imran; Martin Skitmore; Madhav P. Nepal
    Publisher: ASCE
    Abstract: Identifying and understanding potential nonconformities in different construction phases is key to ensuring the anticipated quality and performance of a building in its service period. Previous studies mostly focus on ...
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