Bhubaneswar, India

Kotni Ashutosh

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Honeywell International Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kotni Ashutosh. Retrieved from https://idiyas.com/inventor/kotni-ashutosh

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Kotni Ashutosh: Inventor in Data Processing and Normalization

Introduction

Kotni Ashutosh is an inventor based in Bhubaneswar, India, and is associated with Honeywell International Inc. His work includes an invention focused on normalizing asset-related data in enterprise data processing pipelines.

Latest Patents

Ashutosh is named on 1 patent: “Method and a System for Normalizing Data in Data Processing Pipelines.” The invention describes receiving data from enterprise assets, identifying asset types, and dynamically generating SQL queries to process the data. It then combines query results with configuration data, including asset metadata and an ontology model, to populate a dimensional model in real time. The system can also update configuration data using the normalized results.

Career Highlights

The disclosed method addresses the challenge of bringing data from different enterprise assets into a consistent structure. Its use of asset metadata and ontology information supports normalization that reflects the attributes, characteristics, and relationships of those assets.

Collaborations

Bhabesh Chandra Acharya and Kumaresh Baabu are identified as Ashutosh’s coworkers. The available information does not specify their roles in the patent.

Conclusion

Kotni Ashutosh’s patent describes a system for dynamically normalizing enterprise asset data, combining SQL-based processing with metadata and ontology models to support real-time data organization.

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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