Newark, DE, United States of America

Atul Kakrana

This inventor holds 2 USPTO granted patents. Top assignee: Elsevier, Inc.. Active years: 2021-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Atul Kakrana. Retrieved from https://idiyas.com/inventor/atul-kakrana

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Atul Kakrana: Innovator in Information Extraction Technologies

Introduction

Atul Kakrana is a notable inventor based in Newark, DE (US). He has made significant contributions to the field of information extraction, particularly through his innovative methods and systems.

Latest Patents

Atul Kakrana holds two patents, both focused on systems, methods, and computer program products for automatically extracting information from flowchart images. His latest patent describes a method that involves receiving a flowchart image containing closed-shaped data nodes with enclosed text and connecting lines. The process includes detecting these data nodes, localizing the text, and generating an annotated image. The lines in the annotated image are reconstructed to form a tree frame with the data nodes and connecting lines. Additionally, free text is localized and organized into text blocks using an orientation-based two-dimensional clustering technique.

Career Highlights

Atul Kakrana is currently employed at Elsevier, Inc., where he continues to develop and refine his innovative technologies. His work has been instrumental in advancing the capabilities of information extraction systems.

Collaborations

Atul collaborates with Kaushik Raha, contributing to the development of cutting-edge solutions in their field.

Conclusion

Atul Kakrana's work in information extraction technologies showcases his innovative spirit and dedication to advancing the field. His patents reflect a commitment to improving the efficiency and accuracy of data processing methods.

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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