Tiejun J Xia

Richardson, TX, United States of America

Tiejun J Xia

This inventor holds 116 USPTO granted patents and 11 published patent applications, primarily in Fiber Optic Sensing (CPC class H04J14-0212). Top assignees: Verizon Patent and Licensing Inc., Verizon Business Global LLC, Nec Corporation. Active years: 2001-2026.

USPTO Granted Patents = 116 

% Patents Active = 59.5

Average Co-Inventor Count = 2.2

ph-index = 9

Forward Citations = 324(Granted Patents)

Forward Citations (Not Self Cited) = 301(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Ann Arbor, MI (US) (2002)
  • Richardson, TX (US) (2001 - 2024)

Company Filing History:


Years Active: 2001-2026

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Areas of Expertise:
Distributed Fiber Sensing
Machine Learning
Cable Identification
Network Integrity
Optical Communication
Passive Optical Network
Hybrid Networks
Reconfigurable Optical Node
Traffic Protection
High Capacity Transmission
Optical Patch Panel
Vibration Detection
116 patents (USPTO):Explore Patents

Title: Tiejun J Xia: Innovator in Fiber Optic Technology

Introduction

Tiejun J Xia is a prominent inventor based in Richardson, TX (US), known for his significant contributions to fiber optic technology. With an impressive portfolio of 116 patents, he has made substantial advancements in systems and methods that enhance the performance and reliability of fiber optic networks.

Latest Patents

Among his latest innovations are two notable patents. The first patent focuses on "Systems and methods for distributed fiber sensing for ultra-long-haul transport networks." This invention involves a device that provides a first optical signal to a destination terminal via a fiber cable and a series of sensing repeaters located at intermediate sites within an ultra-long-haul transport network. The device is capable of receiving a second optical signal based on the first, allowing it to determine if there are any issues with the fiber cable and take appropriate actions.

The second patent, titled "Systems and methods for utilizing machine learning to minimize a potential of damage to fiber optic cables," describes a device that processes sensing data from a fiber sensor device. This data is associated with activities that pose a threat to the fiber optic cable. By employing a machine learning model trained on historical data, the device assesses the threat level and can perform actions based on its findings.

Career Highlights

Tiejun J Xia has worked with notable companies such as Verizon Patent and Licensing Inc. and Verizon Business Global LLC. His experience in these organizations has allowed him to develop and refine his innovative ideas in fiber optic technology.

Collaborations

Throughout his career, Tiejun has collaborated with esteemed colleagues, including Glenn A Wellbrock and Ming-Fang Huang. These partnerships have contributed to the advancement of his research and inventions.

Conclusion

Tiejun J Xia stands out as a leading inventor in the field of fiber optic technology, with a remarkable number of patents and groundbreaking innovations. His work continues to influence the industry and improve the reliability of fiber optic networks.

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