CMU’s CEE PhD integrates smart-infrastructure sensing, climate-risk modeling, and circular construction materials. Doctoral students run participatory design workshops with affected communities, build digital twins of bridges using edge AI, and advise policymakers on resilient urban systems.
Digital-twin model predicting scour in riverine bridge piers
Perovskite-based photocatalytic concrete for air-pollutant degradation
Multi-hazard loss model integrating sea-level rise and seismic risk
Reinforcement-learning traffic signal network reducing emissions 25 %
Stormwater credit trading platform leveraging blockchain for transparency
Geo-polymer cement study achieving net-negative embodied carbon
UAV swarm inspection of highway overpasses with real-time defect detection
Social-equity analysis of climate adaptation funding across neighborhoods
AI-driven early warning for landslides using InSAR data streams
Adaptive building façade modeling for passive cooling in hot-humid climates
Life-cycle costing of mass-timber tall buildings vs. concrete high-rises
Policy brief on infrastructure climate bond verification metrics
IoT sensor-fusion network monitoring dam structural health
Circular demolition material marketplace prototype
Crowd-sourced GIS mapping of urban heat-island hotspots
Design climate-ready infrastructure through research at CMU CEE.
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