Evanston, IL, United States of America

Chenkai Weng

This inventor holds 1 USPTO granted patent. Top assignee: Jpmorgan Chase Bank, N.a.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chenkai Weng. Retrieved from https://idiyas.com/inventor/chenkai-weng

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Chenkai Weng: Innovator in Privacy-Preserving Linear Optimization

Introduction

Chenkai Weng is an accomplished inventor based in Evanston, IL (US). He has made significant contributions to the field of privacy-preserving technologies, particularly through his innovative patent. His work focuses on ensuring data confidentiality while performing complex computations.

Latest Patents

Chenkai Weng holds a patent for a "Method and system for privacy-preserving linear optimization." This invention provides a technique for conducting computations on encrypted data, ensuring that the original data remains confidential and secure from unauthorized access. The method involves receiving encrypted data from multiple entities, constructing a comprehensive table with relevant information, and determining a value that maximizes a polynomial function while adhering to specific constraints.

Career Highlights

Chenkai Weng is currently employed at JPMorgan Chase Bank, N.A., where he applies his expertise in privacy-preserving technologies. His work at the bank allows him to contribute to innovative solutions that enhance data security in financial transactions.

Collaborations

Chenkai collaborates with talented professionals such as Antigoni Ourania Polychroniadou and Tucker Richard Balch. Their combined efforts foster a creative environment that drives innovation in their respective fields.

Conclusion

Chenkai Weng is a notable inventor whose work in privacy-preserving linear optimization showcases his commitment to advancing data security. His contributions are vital in today's data-driven world, where confidentiality is paramount.

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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