Foster City, CA, United States of America

Ming Jiang

This inventor holds 2 USPTO granted patents and 5 published patent applications. Top assignee: Coinbase, Inc.. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ming Jiang. Retrieved from https://idiyas.com/inventor/ming-jiang-504dwkhy

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Ming Jiang in Decentralized Applications

Introduction

Ming Jiang is an accomplished inventor based in Foster City, CA (US). He has made significant contributions to the field of decentralized applications through his innovative patent. His work focuses on enhancing communication account identities across various platforms.

Latest Patents

Ming Jiang holds a patent titled "Systems and methods for predicting communication account identities across decentralized applications." This patent describes methods and systems that utilize a multi-tiered machine learning architecture. This architecture aggregates traits of both blockchain and off-chain operations. The data collected is then used to generate recommendations related to account identities for communications, particularly in blockchain operations across decentralized applications.

Career Highlights

Ming Jiang is currently employed at Coinbase, Inc., a leading company in the cryptocurrency and blockchain space. His role involves leveraging his expertise in machine learning and decentralized technologies to drive innovation within the organization.

Collaborations

Ming has collaborated with notable coworkers, including Alex Reeve and Harrison Dahme. Their combined efforts contribute to the advancement of technologies in the blockchain sector.

Conclusion

Ming Jiang's innovative work in predicting communication account identities showcases the potential of machine learning in decentralized applications. His contributions are paving the way for more efficient and secure communication methods in the blockchain ecosystem.

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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