Farrokh Sarreshtedari

Sharif University of Technology

Papers

2

Total Citations

7

H-Index

2

About

Farrokh Sarreshtedari is a leading researcher in the field of superconducting quantum interference device (SQUID)-based non-destructive evaluation (NDE). His work centers on advancing the sensitivity and practicality of SQUID magnetometry for detecting hidden defects in conductive materials, particularly in unshielded, real-world environments. A major contribution is his development of a low-noise, non-magnetic scanning robotic system that overcomes significant electromagnetic interference challenges, enabling reliable NDE of room-temperature samples. By identifying and canceling two dominant noise sources, his 2008 study (5 citations) laid critical groundwork for operational SQUID systems outside costly shielded rooms. Sarreshtedari further enhanced the field by integrating finite element method (FEM) modeling with advanced signal processing, creating a robust pattern recognition algorithm for defect classification. This approach, detailed in his 2010 work (2 citations), allows automated, high-resolution detection using high-Tc gradiometer RF-SQUIDs. His innovative combination of hardware design and computational analysis has pushed the boundaries of practical SQUID-NDE, offering a pathway toward portable, sensitive inspection tools for aerospace and industrial applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Low noise SQUID based NDE with non-magnetic scanning system in unshielded environment
5 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Sharif University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago