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Pedram Bazrafshan
PhD Candidate at Drexel Univ
SPIE Involvement:
Author
Area of Expertise:
Structural Health Monitoring , Nondestructive Evaluation , Concrete Crack Quantification , Network/Graph Theory , Computer Vision , Machine/Deep Learning
Profile Summary
Pedram is a Ph.D. student at Drexel University, Civil, Architectural & Environmental Engineering Department. He started his studies in Jan 2023. Currently, Pedram is working on a concrete crack quantification project. The over-arching goal of the project is to present brand-new features for Structural Health Monitoring and Nondestructive Evaluation of concrete structures, specifically, reinforced concrete shear walls.
Publications (4)
Proceedings Article | 9 May 2024 Presentation + Paper
Detection of cracking mechanism transition on reinforced concrete shear walls using graph theory
Proceedings Volume 12950, 129500I (2024) https://doi.org/10.1117/12.3011092
KEYWORDS: Image processing, Feature extraction, Detection and tracking algorithms, Visualization, Systems modeling, Machine learning, Image enhancement, Detection theory, Corner detection, Computer vision technology
Proceedings Article | 9 May 2024 Presentation + Paper
An entropy-based probabilistic model for acoustic emission RA-value-average ‎frequency data
Proceedings Volume 12951, 129512E (2024) https://doi.org/10.1117/12.3009974
KEYWORDS: Data modeling, Mathematical modeling, Acoustic emission, Visual process modeling, Sensors, Failure analysis, Statistical analysis
Proceedings Article | 18 April 2023 Presentation + Paper
A virtual-reality framework for graph-based damage evaluation of reinforced concrete structures
Proceedings Volume 12487, 1248707 (2023) https://doi.org/10.1117/12.2657736
KEYWORDS: Virtual reality, Machine learning, Inspection, Decision support systems, Artificial intelligence, Structural health monitoring, Evolutionary algorithms, Risk assessment, Nondestructive evaluation, Feature extraction
Proceedings Article | 18 April 2022 Presentation + Paper
A computer vision-based crack quantification of reinforced concrete shells using graph theory measures
Proceedings Volume 12046, 120460J (2022) https://doi.org/10.1117/12.2612359
KEYWORDS: Corner detection, Detection and tracking algorithms, Structural health monitoring, Image processing, Feature extraction, Facial recognition systems, Machine vision, Machine learning, Damage detection, Computing systems
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