Ehab A. Mlybari

Abstract The pervasive issue of cost overruns remains a significant barrier to ensuring project success within budget and schedule constraints. While the causes of overruns are known, a major gap exists in providing validated, high-accuracy predictive tools for proactive expenditure control. This research addresses this gap by aiming to identify the most significant cost overrun factors in building construction projects and develop an accurate predictive model using advanced machine learning.

Abstract Although Project Management Offices (PMOs) are increasingly recognized as mechanisms for improving coordination, governance, and organizational value realization across projects, empirical understanding of their adoption in the construction sector remains limited.

Abstract Unreinforced masonry (URM) walls often exhibit poor seismic performance, particularly when openings interrupt the load path and create stress concentrations that significantly reduce in-plane shear capacity. This study investigates welded steel mesh (WSM) as a practical and economical strengthening solution for URM walls with openings.