Volume 3, Issue 1 of the Journal of Studies in Civil Engineering (a DOAJ-indexed publication) presents a diverse collection of scholarly research across civil engineering, environmental assessment, structural materials, transportation systems, and machine learning applications. This June Issue of 2026 highlights studies on flood susceptibility mapping using machine learning, groundwater quality assessment for drinking purposes, sustainable construction materials such as pervious concrete with tire-derived aggregates and plastic sand blocks, and bus service quality evaluation through structural equation modeling. It also features advanced research on physics-informed machine learning for structural damage detection and a review of hybrid precast systems using UHPC and ECC. Together, these contributions reflect the journal’s commitment to advancing innovative, sustainable, and interdisciplinary research in civil engineering and the built environment.