The Ph.D. program in Civil and Environmental Engineering at Princeton integrates scientific, computational, and societal approaches to address real-world challenges in sustainability, structural systems, and the built environment. Below are dissertation topics designed to guide impactful and interdisciplinary research.
Machine Learning for Structural Health Monitoring in Smart Cities
Life Cycle Assessment of Sustainable Construction Materials
Hydrological Modeling of Urban Flood Risk Using Remote Sensing
Seismic Resilience of Tall Buildings with Tuned Mass Dampers
Carbon Capture Integration in Urban Building Design
Bio-Based Concrete: Material Properties and Performance Modeling
Modeling Pollutant Transport in Coastal Groundwater Systems
Wind Load Optimization for High-Rise Structures
Distributed Sensor Networks for Bridge Deformation Monitoring
Green Infrastructure Planning for Stormwater Management
Impact of Climate Change on Pavement Material Deterioration
AI-Powered Traffic Flow Prediction and Optimization
Coupled Thermal-Hydraulic Modeling for Underground Tunnels
Wastewater Reuse Systems in Smart Urban Infrastructure
Optimization of Water Distribution Networks in Arid Regions
Performance-Based Design in Seismic Retrofitting
Numerical Simulation of Contaminant Dispersion in River Systems
Structural Topology Optimization for Lightweight Design
Energy Harvesting in Transportation Infrastructure
Policy and Engineering Interface in Disaster Resilience Planning
Collexa assists Princeton Ph.D. candidates with simulations, design frameworks, environmental modeling, and structural engineering tools to support impactful dissertation work.
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