Syosset, NY, United States of America

Matthew Kaboolian

This inventor holds 1 USPTO granted patent. Top assignee: National Technology & Engineering Solutions of Sandia, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthew Kaboolian. Retrieved from https://idiyas.com/inventor/matthew-kaboolian-oa5pezvk

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Matthew Kaboolian and Humidity-Sensing Innovation.

Introduction

Matthew Kaboolian is an inventor associated with Syosset, New York, and National Technology & Engineering Solutions of Sandia, LLC. His patent work includes an approach to detecting changes in humidity through a visible color response.

Latest Patents

Kaboolian is credited with 1 patent: “Method and Apparatus for Sensing Humidity.” The invention describes a humidity sensor made from a hydrogel containing a hydrophilic polymer and embedded carbon nitride dots. When the hydrogel absorbs moisture, the dots produce a colorimetric response in visible light; as the hydrogel loses moisture, that response reverses. The resulting color changes can be used to detect changes in humidity.

Career Highlights

Kaboolian’s listed patent reflects work on a material-based sensing method that translates moisture changes into a visible signal. His company affiliation connects this work with National Technology & Engineering Solutions of Sandia, LLC.

Collaborations

Jessica Whitney Kopatz and Christine Cardinal Roberts are identified as Kaboolian’s coworkers. The available information does not specify their roles in the humidity-sensing patent.

Conclusion

Matthew Kaboolian’s patent describes a hydrogel-based humidity sensor that uses reversible color changes to indicate moisture levels.

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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