San Jose, CA, United States of America

Roxanne Kavosh

This inventor holds 1 USPTO granted patent. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Roxanne Kavosh. Retrieved from https://idiyas.com/inventor/roxanne-kavosh

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 = 1.0

ph-index = 1


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Roxanne Kavosh: Inventor in Laser Inspection and Process Control.

Introduction

Roxanne Kavosh is an inventor based in San Jose, California. Her patent work focuses on using optical inspection to monitor and control laser-based surface processing.

Latest Patents

The provided information lists one patent for Kavosh: “Apparatus and Method for In-Situ Optical Inspection of Laser-Induced Surface Modifications and Laser Process Control.” The invention describes a method for processing and inspecting an object’s surface in situ. It uses process and probe laser beams to modify a target region, collect light reflected or scattered during the laser-surface interaction, and construct an image of the modified surface. That image can then guide adjustments to laser pulse intensities for processing other regions. Kavosh is credited with 1 patent.

Career Highlights

Kavosh’s listed patent addresses real-time inspection and control during laser processing. By linking surface imaging with adjustments to laser pulse intensity, the disclosed method is designed to support predetermined modifications across multiple surface regions.

Collaborations

The provided information names Iraj Kavosh and Raya Kavosh as Kavosh’s coworkers.

Conclusion

Roxanne Kavosh’s listed invention combines in-situ optical inspection with laser process control to help guide precise surface modifications.

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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