Oreta & Uy at the 2026 PICE Midyear National Convention

 DLSU Dept of Civil Engineering Professors, Dr. Andres Winston C. Oreta and Dr. Erica Elise Uy delivered technical presentations at the 2026 Philippine Institute of Civil Engineers (PICE) Midyear National and Technical Conference held on May 22-23, 2026 at the SMX Convention Center.

Dr. Oreta was invited to present a paper in the Civil Engineering Education Session. Dr. Uy, on the other hand, was invited to present their DOST-funded research project at the Water Resources Engineering Specialty Session. Here are the abstracts of the presentations of Oreta and Uy, respectively.

Strengthening the Civil Engineering Graduate Seminar on Disaster Risk Reduction & Infrastructure Development (DRRID) through the CE-DRRID Teaching Modules Aligned with the Sendai Framework & AI/ICT Tools

By Andres Winston C. Oreta

The increasing frequency and complexity of natural hazards require civil engineering (CE) education to strengthen its emphasis on disaster risk reduction and resilient infrastructure development (DRRID). This paper presents the development and initial implementation of the CE-DRRID Teaching Modules, a structured set of graduate-level learning materials designed to integrate DRRID principles across major civil engineering specializations within a graduate seminar course. The modules highlight the roles of the CE specializations including civil engineering education in reducing disaster risks and promoting resilient infrastructure systems. A key feature of the modules is the systematic alignment of specialization-specific tasks with the four priorities of the Sendai Framework for DRR. Another important component of the modules is the integration of Artificial Intelligence (AI) and Information and Communication Technology (ICT) as emerging support tools. The incorporation of AI and ICT tools within the course expands the research perspective of graduate students while emphasizing that these technologies complement, rather than replace, engineering judgment and expertise. 

Dam Risk Management Decision Support Tool

By Erica Elice S. Uy

Co-Authors: J. Tan, V. Eugenio, C.A. Fernandez, , J.B. Pauco, R. Rivera, M. Cutora, J. Galupino, I.O. Ubay-Anongphouth, R.M. Tanhueco, M.A. Adajar, J. Dungca and C. Abanag

Effective dam safety management in multi-hazard and data-constrained environments requires decision-support systems that systematically integrate structured expert judgment with standardized inspection protocols. While international dam safety guidelines provide comprehensive inspection checklists, defect classification systems, and performance rating criteria, they typically lack explicit weighting schemes for prioritizing structural components, failure mechanisms, and hazard indicators. As a result, post-inspection safety evaluations often remain subjective, limiting consistency, transparency, auditability, and risk-informed decision-making. This study presents an integrated decision-support framework that couples the Analytic Hierarchy Process (AHP) with internationally adopted dam safety inspection standards—specifically structured around Korean condition assessment guidelines—to transform qualitative inspection results into quantitative, risk-based safety indices suitable for operational deployment.