Sheikhi Farid
Papers
1
Total Citations
7
H-Index
1
About
Farid Sheikhi is a researcher whose work lies at the intersection of sensor technology, signal processing, and anomaly detection, with a particular focus on non-destructive evaluation. His most cited paper, “Rényi Entropy Filter for Anomaly Detection With Eddy Current Remote Field Sensors” (2015, 7 citations), introduces a novel approach to identifying defects in pipelines using a multichannel remote field eddy current sensor mounted on a mobile robot. Sheikhi’s key contribution is the application of a Rényi entropy-based filter to extract defect-related features from noisy sensory data, effectively separating meaningful signals from background interference. This work addresses a critical challenge in industrial inspection: the masking of subtle anomalies by environmental noise. While his citation count is modest, the research demonstrates a targeted impact in the field of pipeline integrity monitoring, offering a practical method for improving the reliability of automated defect detection. Sheikhi’s work is notable for its integration of information theory with robotic sensor systems, providing a foundation for future advancements in autonomous infrastructure inspection.
Research Focus
Key Achievements
Top Papers
- 1