Anding, Taiwan

Fu-Yuan Shih

This inventor holds 1 USPTO granted patent. Top assignee: National Yang Ming Chiao Tung University. Active years: 2011.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fu-Yuan Shih. Retrieved from https://idiyas.com/inventor/fu-yuan-shih-8rekd40y

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: Innovations of Fu-Yuan Shih in Fiber Sensing Technology.

Introduction

Fu-Yuan Shih is a notable inventor based in Anding, Taiwan. He has made significant contributions to the field of fiber sensing technology. His innovative work focuses on enhancing the survivability and sensing capacity of fiber sensors.

Latest Patents

Fu-Yuan Shih holds a patent for a "Fiber sensing system with self-detection mechanism." This invention utilizes a central office to control a secondary ring architecture formed by fiber sensors, remote nodes, and optical couplers. The system is designed to detect and measure signals reflected by the fiber sensor, allowing for the analysis of fault point locations. This technology greatly improves the overall operation of the sensing mechanism, even in the presence of environmental changes.

Career Highlights

Fu-Yuan Shih is affiliated with National Yang Ming Chiao Tung University, where he continues to advance research in fiber sensing systems. His work has been instrumental in reducing the cost and complexity of fiber network topologies.

Collaborations

He has collaborated with notable colleagues such as Chi-Wai Chow and Sien Chi, contributing to the advancement of fiber sensing technologies.

Conclusion

Fu-Yuan Shih's innovative contributions to fiber sensing technology demonstrate his commitment to enhancing the capabilities of fiber sensors. His work not only addresses current challenges but also paves the way for future advancements in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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