Downtown, United Arab Emirates

Sudheeshechandran Narayanan

This inventor holds 1 USPTO granted patent. Top assignee: Rockwell Automation Technologies Incorporated. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sudheeshechandran Narayanan. Retrieved from https://idiyas.com/inventor/sudheeshechandran-narayanan

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Sudheeshechandran Narayanan and Industrial Knowledge Graphs.

Introduction

Sudheeshechandran Narayanan is an inventor based in Downtown, AE, whose patent work concerns applying data-driven methods to industrial automation. His listed patent focuses on turning industrial data into a knowledge graph that can help identify events and present potential remedies.

Latest Patents

Narayanan is associated with 1 patent: “Systems and Methods for Generating a Knowledge Graph Based on Industrial Data.” The invention describes a system that receives data collected during an industrial automation process and applies an asset model to contextualize that data. It then determines event data, generates a knowledge graph, identifies an event, and displays one or more remedies through a graphical user interface.

Career Highlights

Narayanan is associated with Rockwell Automation Technologies Incorporated. His patent reflects work at the intersection of industrial automation, data contextualization, event identification, and knowledge-graph-based support for operational decision-making.

Collaborations

The listed coworkers associated with Narayanan are Ganesh H. Iyer and Rupak D. Das. Their names provide context for the professional network connected with his patent work.

Conclusion

Sudheeshechandran Narayanan’s listed invention uses contextualized industrial data and knowledge graphs to identify events and surface possible remedies, highlighting a practical application of data-driven innovation in industrial automation.

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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