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Scalable and Extensible Machine Learning for Transportation Infrastructure Asset Management in Virginia
Location: Virginia, US
My role
Research Assistant
Reviewed current practices in client’s asset management program
Investigated improvement strategies including prioritizing inspection and maintenance tasks
Surveyed methods to develop prediction models
Performed data-driven deterioration predictive analytics for different types of assets
Developed spatial risk analysis for possible defects on multiple roadway asset types (using machine learning)
Provided risk maps presenting future hotspot of defects
Established Data Management System (DMS) for Transportation Asset Management (TAM)
The University of North Carolina at Charlotte
Department of Civil and Environmental Engineering
My role
Research Assistant
Infrastructure Asset Management
Predictive Analytics for Infrastructures O&M
Spatial risk and hotspot analyses using machine-learning approaches
Maintenance Rating Programs (MRP) for physical assets
Data Management System (DMS) for Infrastructure Asset Management
Guided and consulted graduate students
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