07/08/2026
ππ‘AiTECH RESEARCH IN THE SPOTLIGHT!
AiTECH proudly celebrates its talented students and faculty mentors on the successful submission and publication of their research works across prominent platforms. This marks a HISTORIC DOUBLE-FIRST for the community: the first student-led study accepted for presentation at an international conference and its inaugural publication in an international journal!
πSociology and Disaster Resilience:
2026 Philippine Sociological Society International Conference (October 1-3, 2026), Mindanao State University - Gensan
Theme: Sociology of Ruptures and Futures: Communities, Change, and Continuity
Title of Abstract: Beyond the Lowlands: Understanding Flood Risk Perceptions, Preparedness, and Institutional Trust
This study argues that flood risk perception is a sociological concern shaped by community experiences, preparedness practices, and institutional trust. Anchored on Protection Motivation Theory (PMT), the study examined how residentsβ perceptions of flood risks, coping capacities, and institutional trust influence preparedness and response behaviors, while the Municipal Disaster Risk Reduction and Management framework guided the analysis of local governance and disaster response systems. The study suggests strengthening community-based early warning systems, improving participatory disaster governance, updating flood hazard maps, and enhancing waste management implementation to improve institutional trust and community resilience.
πAI and Smart Construction Safety
International Journal of Sustainability and Advanced Integrated Research
Title: P.P.Eye-Track: Real-Time PPE Detection and Dashboard Analytics for ABC Company Construction Project
This study developed and evaluated P.P.EyeβTRACK, a YOLOv8-based PPE detection and dashboard analytics system for proactive construction safety monitoring. Using a design and development research approach, the system was trained to detect hard hats, safety vests, and safety shoes from CCTV images, deployed for four weeks at an ABC Company project, and evaluated through validation metrics, field observations, real-time performance testing, usability assessment, cost-benefit analysis, and pilot-final survey comparisons. This study contributes to SDG 8 by promoting safer workplaces and supports SDG 9 through affordable AI-driven construction safety management.
The full article may be accessed here: https://doi.org/10.65339/ijsair.V2.I3.856
Seeing our student-driven research gain visibility is a testament to the talent and vision within our community. May these successes ignite conversations in construction engineering technology and management, encourage future student-researchers to step up, ask big questions, and build solutions that matter.
Congratulations to everyone involved! ππ