We are an interdisciplinary research group at the intersection of civil engineering, computer science, and historic preservation as it pertains to diagnostics of existing infrastructure. Students will study how convolutional neural networks, physics-based modeling, and cyber-physical systems can be utilized to adaptively reuse existing structures in a world moving towards greener infrastructure and smart cities. Current research initiatives include the use of unmanned aerial vehicles for infrastructure inspection, the fusion of nondestructive evaluation for multi-modal documentation, hybrid analytics to create digital twins, and augmented reality for synthesizing disparate data sets. More information about opportunities can be found below:

Masters Students | Funded PhD Opportunities

For Undergraduate Research Assistants, Visiting Students, Potential Collaborators, General Inquiries:

Please feel free to e-mail [napolitano@psu] directly with the subject line “Interested Student/ Collaborator ” and we can discuss what opportunities may be available.