Dr. Tommy Tafazzoli’s research integrates sustainability science, construction safety and human factors, as well as automation and robotics. His work advances data-driven, technology-enabled, and environmentally responsible approaches that enhance safety, productivity, and resilience. He has authored more than 50 peer-reviewed publications exploring themes such as sustainable construction, AI-based safety analytics, automation, and life-cycle assessment. His studies in Sustainable Cities and Society, Urban Climate, and Sustainability have contributed new frameworks for material efficiency, green-lean integration, and performance-based sustainability metrics. Dr. Tafazzoli’s recent projects focus on developing predictive safety platforms using wearable sensors, computer vision, and BIM for real-time hazard detection. His sustainability research investigates pervious concrete pavements, green roofs, and stormwater control systems to reduce environmental impacts in urban areas. He has written and led research proposals exceeding $15 million for agencies such as NSF, DOE, EPA, and multiple state DOTs. His interdisciplinary approach connects construction management, environmental engineering, and data science to create actionable models for decision-support, carbon reduction, and infrastructure resilience.