Graduate research assistance
UND
Grand Forks, ND, United States
Faezeh Jafari is a dedicated researcher and engineer with expertise in civil engineering, materials science, and artificial intelligence. Currently pursuing her PhD at the University of North Dakota, Faezeh’s research focuses on remote sensing, non-destructive testing (NDT), and the application of AI-driven technologies in construction and infrastructure monitoring. Her work involves developing advanced algorithms for defect detection, bridge condition assessment, and stockpile management using drones, LiDAR, and GIS technologies.
With over two years of experience in research funded by the North Dakota Department of Transportation, Faezeh has played a critical role in data collection and analysis to improve the safety, efficiency, and sustainability of infrastructure. She holds a UAS Part 107 pilot certification and has extensive hands-on experience with tools like PiX4D, ABAQUS, MATLAB, AutoCAD, and Python. Her innovative research combines AI with civil engineering to develop practical solutions for monitoring paving projects, identifying defects in ancillary structures, and detecting carbonation in concrete.
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Application of Unmanned Aerial Systems for Progress Monitoring of Pavement: A Case Study
Tuesday, June 10, 2025
9:15 AM – 9:30 AM MT