N Hosseni

Papers

Total Citations

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About

Dr. N. Hosseini is a specialist in non-destructive evaluation (NDE) and applied signal processing, with a particular focus on superconducting quantum interference device (SQUID) technologies. Their most cited work, "FEM enhanced signal processing approach for pattern recognition in the SQUID based NDE system," introduces an efficient algorithm that integrates finite element method (FEM) modeling with advanced signal processing to improve pattern recognition of defects in conductive materials. This contribution is notable for enabling high-Tc gradiometer RF-SQUIDs to operate effectively in unshielded environments, a significant practical advancement for real-world industrial inspection. The research also incorporates automated two-dimensional non-magnetic scanning, enhancing the system's usability and accuracy. While the citation count for this specific paper is modest, the work represents a foundational step in applying computational methods to improve the sensitivity and reliability of SQUID-based NDE systems. Dr. Hosseini’s research bridges the gap between theoretical electromagnetics and practical defect detection, offering valuable insights for engineers and researchers working in materials science, quality control, and sensor development.