Folsom, CA, United States of America

Michael Jeffrey Norris

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Jeffrey Norris. Retrieved from https://idiyas.com/inventor/michael-jeffrey-norris

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

USPTO Granted Patents = 1 

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: Michael Jeffrey Norris and Lattice-Based Cryptographic Sampling.

Introduction

Michael Jeffrey Norris is an inventor associated with Folsom, California, and Microsoft Technology Licensing, LLC. His patent work concerns cryptographic rejection sampling, a component used in lattice-based cryptographic systems.

Latest Patents

Norris is credited with 1 patent: “Lattice Based Cryptographic Rejection Bounded Sampling.” The invention describes a unit with parallel sampling circuits that process random-bit samples and send valid outputs to a first-in, first-out queue. A multiplexer and controller manage those outputs to provide four valid coefficients per cycle. The method also covers generating the valid coefficients and writing them to memory.

Career Highlights

The patent reflects Norris’s contribution to hardware and methods for efficiently producing bounded samples in cryptographic applications. Its design coordinates parallel circuits, queue tracking, and controlled output.

Collaborations

Norris’s listed coworker is Bharat S. Pillilli. The patent is associated with Microsoft Technology Licensing, LLC.

Conclusion

Michael Jeffrey Norris’s patent documents an approach to organizing parallel rejection sampling for lattice-based cryptography, highlighting his contribution to cryptographic processing technology.

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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