San Mateo, CA, United States of America

Mina Kasirifar

This inventor holds 1 USPTO granted patent. Top assignee: Know Labs, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mina Kasirifar. Retrieved from https://idiyas.com/inventor/mina-kasirifar

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Journey of Mina Kasirifar

Introduction

Mina Kasirifar is a talented inventor based in San Mateo, CA. She has made significant contributions to the field of technology, particularly with her innovative work on non-invasive analyte sensors. Her dedication to advancing medical technology has positioned her as a notable figure in the industry.

Latest Patents

Mina holds 1 patent for her groundbreaking invention, the non-invasive analyte sensor. This technology has the potential to revolutionize how medical professionals monitor various health conditions without the need for invasive procedures.

Career Highlights

Mina is currently employed at Know Labs, Inc., where she continues to develop and refine her inventions. Her work at the company reflects her commitment to improving healthcare through innovative solutions.

Collaborations

Mina collaborates with talented individuals such as Steven Kent and Fred Bould. Their combined expertise fosters a creative environment that enhances the development of new technologies.

Conclusion

Mina Kasirifar's contributions to the field of medical technology exemplify her innovative spirit and dedication to improving healthcare. Her work on non-invasive analyte sensors is just the beginning of what promises to be a remarkable career.

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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