Faezeh Shanehsazzadeh

Sharif University of Technology

Papers

1

Total Citations

12

H-Index

1

About

Faezeh Shanehsazzadeh is a researcher whose work sits at the intersection of applied superconductivity and advanced nondestructive testing (NDT). Her key research areas include the use of high-temperature superconducting (HTS) rf-SQUID sensors for detecting hidden defects in materials, with a particular focus on eddy current techniques and signal processing. Her major contribution is the development of a novel Fast Fourier Transform (FFT)-based approach for depth detection of hidden defects, as detailed in her most-cited 2018 paper. This work enables precise depth localization by analyzing the frequency spectrum of the output waveform when multiple excitation frequencies are applied, offering a significant improvement over traditional single-frequency methods. With 12 citations, this paper demonstrates her impact in the field of NDT, providing a practical, noninvasive solution for quality control in industrial applications. Shanehsazzadeh’s innovative integration of SQUID sensors with FFT analysis marks a notable achievement, advancing the capability to detect and characterize subsurface flaws with greater accuracy.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Fast Fourier Transform Based NDT Approach for Depth Detection of Hidden Defects Using HTS rf-SQUID
12 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Sharif University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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