Company Badge
USPTO Data Jan 1 1976 - Oct 27 2026
11 Patents
#78 in Ann Arbor, MI
#964 in Michigan
#27,540 in US
#51,831 in the World
Fiberoptic Sensor Technologies, Inc.
Forward Citations = 1,309
18 inventors:
Ann Arbor, MI, United States of America
Fiberoptic Sensor Technologies, Inc.
Calculating rank
Forward Citations = 1,309
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18 inventors (with patents filed for the assignee):
Marek T Wlodarczyk (7 out of 27 patents)
Daniel L Vokovich (3 out of 4 patents)
Luciano Coletta (2 out of 2 patents)
4. David O Danielson (2 out of 2 patents)
5. John Pidorenko (2 out of 2 patents)
6. James A Campbell (1 out of 9 patents)
7. Douglas G Tomasko (1 out of 1 patent)
8. Doug Tomasko (1 out of 1 patent)
9. Mitch Van Ochten (1 out of 1 patent)
10. Juan Velazquez (1 out of 1 patent)
11. Charles D Anderson (1 out of 1 patent)
12. Gang He (1 out of 1 patent)
13. Andrew C Patania (1 out of 1 patent)
14. Michael D Colliver (1 out of 1 patent)
15. Richard Alderson (1 out of 1 patent)
11 patents:
Company Overview
Fiberoptic Sensor Technologies, Inc., based in Ann Arbor, MI, specializes in the development and manufacturing of advanced fiber optic sensor systems. The company focuses on innovative sensing solutions that leverage fiber optic technology for a variety of applications, including structural health monitoring, environmental sensing, and industrial automation. By harnessing the unique properties of fiber optics, the organization aims to provide high-performance, reliable, and precise measurement tools that meet the evolving needs of diverse industries.
Profile summary synthesized from public USPTO records and patent filings.
IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Fiberoptic Sensor Technologies, Inc.. Retrieved from https://idiyas.com/company/fiberoptic-sensor-technologies
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
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]
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]
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]