Arcadia, CA, United States of America

Jing Jim Wang

This inventor holds 1 USPTO granted patent. Top assignee: Thales Dis France Sas. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jing Jim Wang. Retrieved from https://idiyas.com/inventor/jing-jim-wang

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Jing Jim Wang

Introduction

Jing Jim Wang is an accomplished inventor based in Arcadia, CA (US). She has made significant contributions to the field of biometric authentication. Her innovative approach combines multiple biometric modalities to enhance individual recognition.

Latest Patents

Jing Jim Wang holds a patent for a method titled "Multimodal biometric fusion based authentication." This patent describes a technique for recognizing an individual by fusing match results from different single-modal biometric recognition systems. The method utilizes machine learning to optimize parameters that meet specific performance metrics. The updated parameters are stored in a database and applied to match results for individual recognition.

Career Highlights

Jing Jim Wang is currently employed at Thales Dis France Sas, where she continues to develop cutting-edge technologies in biometric systems. Her work focuses on improving the accuracy and reliability of biometric authentication methods.

Collaborations

Jing collaborates with her coworker, Daniel Asraf, to further advance their research and development efforts in biometric technologies.

Conclusion

Jing Jim Wang's innovative contributions to biometric authentication demonstrate her expertise and commitment to enhancing security through technology. Her work continues to influence the field and pave the way for future advancements.

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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