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Sustainable Development of High-Tech Facilities Empowered by Digital Transformation
Siyuan Song
Speaker
Del E. Webb School of Construction
School of Sustainable Engineering and the Built Environment
Ira A. Fulton Schools of Engineering Arizona State University

Education
PhD. Civil Engineering, University of Alabama, Tuscaloosa, AL 2017
MS. Civil Engineering, University of Alabama, Tuscaloosa, AL 2015
BS. Construction Engineering and Management, Suzhou University of Science and Technology, Suzhou, China 2014
Experience
Del E. Webb School of Construction
School of Sustainable Engineering and the Built Environment
Ira A. Fulton Schools of Engineering Arizona State University
Speech Title and Abstract
Multimodal Sensing and Adaptive Training for Personalized Heat Stress Management in Construction
Heat stress represents an escalating occupational hazard for construction workers, with climate change intensifying extreme temperatures while urban heat island effects and machinery-generated radiant heat create additional thermal burdens. Modern technological solutions such as wearable physiological monitors, networked environmental sensors, and artificial intelligence analytics now enable real-time identification of heat exposure risks coupled with individualized protective measures. These integrated systems support proactive worksite safety through continuous tracking of core biometric indicators, hydration status, and localized thermal conditions, complemented by predictive algorithms that optimize work-rest regimens to prevent heat-related health incidents. Parallel investment in comprehensive worker education programs remains equally vital, ensuring proper recognition of heat illness symptoms and implementation of adaptive behavioral strategies. The development and deployment of such evidence-based countermeasures demand sustained collaboration across industry stakeholders, research institutions, and regulatory bodies to establish practical, scalable protections that preserve both workforce health and operational efficiency. This multidimensional approach demonstrates how concurrent advances in sensor technology, data science, and occupational training collectively contribute to building more thermally resilient construction workplaces.
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