San Jose, CA, United States of America

Kenneth Liew

This inventor holds 1 USPTO granted patent. Top assignee: Paypal, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kenneth Liew. Retrieved from https://idiyas.com/inventor/kenneth-liew

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Kenneth Liew and Blockchain Transaction Simulation

Introduction

Kenneth Liew is an inventor based in San Jose, California. His patent work concerns blockchain development, with a focus on simulating transactions to help assess their potential execution outcomes.

Latest Patents

Liew is associated with 1 patent, titled “Framework for Blockchain Development.” The invention describes a method for facilitating the secure execution of blockchain transactions. It uses models trained on real-world transaction data, with each model corresponding to a particular blockchain. When a simulation request is received, the method selects the relevant model, determines the transactional stress level and the number of nodes, and runs the simulation to predict the transactions’ results.

Career Highlights

Liew is associated with PayPal, Inc. His patent reflects work on applying data-driven models to blockchain transaction simulations.

Collaborations

Liew’s listed coworker is Christopher Man-kit Chan. Their shared professional association provides context for Liew’s work, though the supplied information does not specify their roles in developing the patent.

Conclusion

Kenneth Liew’s patent focuses on using blockchain-specific models to simulate transactions and predict their outcomes, highlighting his contribution to blockchain development.

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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