Chandler, AZ, United States of America

Md Faijul Amin

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Intel Corporation. Active years: 2022-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Md Faijul Amin. Retrieved from https://idiyas.com/inventor/md-faijul-amin

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

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 14.0

ph-index = 1

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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3 patents (USPTO):Explore Patents

Title: Innovations of Md Faijul Amin

Introduction

Md Faijul Amin is an accomplished inventor based in Chandler, AZ, known for his contributions to the field of machine learning. With a total of three patents to his name, he has made significant strides in enhancing the efficiency of machine learning operations.

Latest Patents

One of his latest patents is a machine learning accelerator mechanism. This innovative apparatus is designed to facilitate the acceleration of machine learning operations. It comprises at least one processor that performs operations to implement a neural network, along with accelerator logic that is communicatively coupled to the processor to perform compute operations for the neural network.

Career Highlights

Md Faijul Amin is currently employed at Intel Corporation, where he continues to push the boundaries of technology and innovation. His work focuses on developing advanced solutions that enhance the performance of machine learning systems.

Collaborations

He collaborates with talented individuals such as Amit Bleiweiss and Anavai Ramesh, contributing to a dynamic and innovative work environment.

Conclusion

Md Faijul Amin's contributions to machine learning through his patents and work at Intel Corporation highlight his role as a key innovator in the technology sector. His efforts are paving the way for future advancements in this critical field.

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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