Lafayette, LA, United States of America

Saeid Gorgin

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Saeid Gorgin. Retrieved from https://idiyas.com/inventor/saeid-gorgin

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 Saeid Gorgin in Stochastic Computing

Introduction

Saeid Gorgin is an accomplished inventor based in Lafayette, LA (US). He has made significant contributions to the field of stochastic computing, particularly in enhancing the accuracy and efficiency of computations. His innovative approach addresses critical challenges in the stochastic computing paradigm.

Latest Patents

Saeid Gorgin holds a patent for a "Method and architecture for accelerating deterministic stochastic computing using residue number system." This invention tackles the inaccuracy of computations that often plagues stochastic computing. By utilizing structured deterministic bit-streams instead of random ones, his method significantly reduces the processing time and energy consumption associated with current deterministic methods.

Career Highlights

Saeid Gorgin is affiliated with the University of Louisiana at Lafayette, where he continues to advance research in stochastic computing. His work has garnered attention for its potential to revolutionize how computations are performed in various applications.

Collaborations

Saeid has collaborated with notable colleagues, including Mohammadhassan Najafi and Kamyar Givaki. Their joint efforts contribute to the ongoing research and development in the field of computing.

Conclusion

Saeid Gorgin's innovative work in stochastic computing exemplifies the potential for advancements in computational accuracy and efficiency. His contributions are paving the way for future developments in this critical area of 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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