Lafayette, LA, United States of America

M H Gholamrezayi

This inventor holds 1 USPTO granted patent. Top assignee: University of Louisiana at Lafayette. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: M H Gholamrezayi. Retrieved from https://idiyas.com/inventor/m-h-gholamrezayi

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


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by M H Gholamrezayi

Introduction

M H Gholamrezayi is an accomplished inventor based in Lafayette, LA. He has made significant contributions to the field of stochastic computing, particularly through his innovative patent that addresses the challenges of computation accuracy.

Latest Patents

Gholamrezayi holds a patent for a "Method and architecture for accelerating deterministic stochastic computing using residue number system." This invention tackles the inaccuracy of computations in the Stochastic Computing (SC) paradigm. Traditional SC methods often rely on random bit-streams, which can lead to inaccuracies. Gholamrezayi's approach utilizes structured deterministic bit-streams to produce accurate results. His design methodology, based on Residue Number Systems (RNS), significantly reduces processing time and energy consumption compared to existing deterministic methods.

Career Highlights

Gholamrezayi is affiliated with the University of Louisiana at Lafayette, where he continues to advance research in computing technologies. His work has garnered attention for its potential to improve the efficiency of SC circuits.

Collaborations

He has collaborated with notable colleagues, including Mohammadhassan Najafi and Kamyar Givaki, contributing to the advancement of innovative computing solutions.

Conclusion

M H Gholamrezayi's contributions to stochastic computing exemplify the importance of innovation in addressing computational challenges. His work not only enhances accuracy but also improves energy efficiency in computing systems.

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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