Nofit, Israel

Eshed Ram

This inventor holds 4 USPTO granted patents and 5 published patent applications. Top assignees: Mellanox Technologies, Ltd., Nvidia Corporation. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Eshed Ram. Retrieved from https://idiyas.com/inventor/eshed-ram

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

Calculating rank
USPTO Granted Patents = 4 

% Patents Active = 50.0

Average Co-Inventor Count = 8.6

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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4 patents (USPTO):Explore Patents

Title: Eshed Ram: Innovator in Video Encoding Technologies

Introduction

Eshed Ram is a notable inventor based in Nofit, Israel, recognized for his contributions to video encoding technologies. He holds two patents that showcase his expertise in machine learning and rate control systems for video content.

Latest Patents

His latest patents include "Content-aware, machine-learning-based rate control" and "Quality-metric-agnostic rate control." The first patent describes a system that utilizes a processing device to receive video content and metadata, enabling it to detect the content type and perform frame encoding based on a machine learning model. The second patent outlines a similar system that incorporates a quality metric to optimize the encoding process, ensuring efficient rate control.

Career Highlights

Eshed Ram is currently employed at Mellanox Technologies, Ltd., where he applies his innovative ideas to enhance video processing technologies. His work focuses on developing systems that improve the efficiency and quality of video encoding.

Collaborations

He collaborates with talented coworkers, including Dotan David Levi and Assaf Hallak, who contribute to the advancement of their projects.

Conclusion

Eshed Ram's work in video encoding technologies demonstrates his commitment to innovation and excellence in the field. His patents reflect significant advancements that can impact the future of video processing.

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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