New York, NY, United States of America

Michael Naggar

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Citibank, N.a.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Naggar. Retrieved from https://idiyas.com/inventor/michael-naggar-qfd17udi

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Michael Naggar: Inventor of Real-Time Software Systems Mapping

Introduction

Michael Naggar is an inventor based in New York, New York. His patent work addresses the use of real-time software application data to map system components and generate visualizations and recommendations.

Latest Patents

Naggar is associated with 1 patent: “Systems and Methods for Generating Recommendations Based on Real-Time Mapping of System Components in Software Applications Lineage Logs.” The invention describes a system that receives a request to visualize a configuration of selected components in a software system, retrieves a lineage log containing event data about current processes, and derives feature inputs from that log. An artificial intelligence model then processes the inputs to produce an output that can support visualization generation and recommendations.

Career Highlights

Naggar is associated with Citibank, N.A. His patent reflects an application of artificial intelligence and operational data to understanding software system components and their relationships.

Collaborations

The patent’s focus on software applications lineage logs and AI-based analysis points to work involving software systems and data-driven visualization. The available information identifies Citibank, N.A. as the company associated with Naggar.

Conclusion

Michael Naggar’s patent describes a method for using current software process data and artificial intelligence to map system components and generate useful visualizations and recommendations.

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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