Los Angeles, CA, United States of America

Jonathan Nguyen

This inventor holds 1 USPTO granted patent. Top assignees: California Institute of Technology, University of California. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jonathan Nguyen. Retrieved from https://idiyas.com/inventor/jonathan-nguyen-s2nwoe1w

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Jonathan Nguyen

Introduction

Jonathan Nguyen is an accomplished inventor based in Los Angeles, CA. He has made significant contributions to the field of coding theory, particularly in the area of low-density parity-check (LDPC) decoding. His innovative work focuses on improving frame error rate (FER) performance through advanced neural network techniques.

Latest Patents

Jonathan Nguyen holds a patent titled "Neural-network-optimized degree-specific weights for LDPC minsum decoding." This invention introduces Neural Normalized MinSum (N-NMS) decoding, which enhances the performance of linear block codes compared to conventional normalized MinSum (NMS) methods. The patent describes a system where dynamic multiplicative weights are assigned to each check-to-variable message during iterations. This approach efficiently provides training parameters for N-NMS, enabling it to support longer block lengths. Additionally, the invention includes embodiments for neural two-dimensional normalized MinSum (N-2D-NMS) decoders, which require fewer training parameters. The N-2D-NMS techniques utilize the same weight for edges with identical check and/or variable node degrees. Simulation results demonstrate that this LDPC decoding method performs comparably to previous techniques while significantly reducing the training required.

Career Highlights

Throughout his career, Jonathan has worked with prestigious institutions such as the University of California and the California Institute of Technology. His experience in these organizations has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.

Collaborations

Jonathan has collaborated with Linfang Wang, further enhancing the impact of his work in the field of coding theory.

Conclusion

Jonathan Nguyen is a notable inventor whose work in neural network-optimized decoding has the potential to revolutionize error correction in communication systems. His innovative approaches continue 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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