Hod Hasharon, Israel

Gil Mazurik

This inventor holds 1 USPTO granted patent. Top assignee: Amdocs Development Limited. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gil Mazurik. Retrieved from https://idiyas.com/inventor/gil-mazurik

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 = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Gil Mazurik: Innovator in 5G Private Network Deployment

Introduction

Gil Mazurik is an accomplished inventor based in Hod Hasharon, Israel. He has made significant contributions to the field of telecommunications, particularly in the deployment of 5G private networks. His innovative approach leverages machine learning to optimize network deployment scenarios for enterprises.

Latest Patents

Gil Mazurik holds a patent for a "Machine learning-based system, method, and computer program for making a 5G private network deployment recommendation." This patent describes a system that utilizes machine learning to analyze various parameter values associated with an enterprise. The system infers the optimal deployment scenario for a 5G private network, providing a tailored recommendation for enterprises looking to implement this technology.

Career Highlights

Mazurik is currently employed at Amdocs Development Limited, where he continues to push the boundaries of technology in telecommunications. His work focuses on integrating advanced machine learning techniques to enhance network deployment strategies.

Collaborations

One of his notable coworkers is Jean-marc Eric Ohayon, with whom he collaborates on various projects within the company.

Conclusion

Gil Mazurik's innovative contributions to the field of telecommunications, particularly in 5G private network deployment, highlight his expertise and commitment to advancing technology. His work exemplifies the potential of machine learning in optimizing network solutions for enterprises.

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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