Denville, NJ, United States of America

Mahesh Raghavan



Average Co-Inventor Count = 4.3

ph-index = 1

Forward Citations = 19(Granted Patents)


Company Filing History:


Years Active: 2013-2018

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3 patents (USPTO):Explore Patents

Title: Mahesh Raghavan: Innovator in Hierarchically-Referenced Data Management

Introduction

Mahesh Raghavan is a notable inventor based in Denville, NJ (US). He has made significant contributions to the field of data management, particularly in the area of hierarchically-referenced data. With a total of 3 patents to his name, Raghavan's work focuses on innovative methods and systems that enhance the efficiency and effectiveness of data handling.

Latest Patents

Raghavan's latest patents include groundbreaking methods for resolving conflicts in hierarchically-referenced data. One of his notable inventions is a computer-implemented method for managing conflicts within a logical component hierarchy. This method involves determining the need to replace a descendant component with an overriding component, thereby streamlining the logical component hierarchy. Another significant patent focuses on filtering components in hierarchically-referenced data. This method identifies and filters sub-components from a logical component hierarchy based on specific criteria, enhancing data organization and retrieval.

Career Highlights

Throughout his career, Mahesh Raghavan has worked with prominent companies such as Dassault Systems Enovia Corporation and Dassault Systemes Enovia Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas in data management.

Collaborations

Raghavan has collaborated with several professionals in his field, including Dana Rigg and Lawrence Steven Bach. These collaborations have contributed to the advancement of his research and the successful implementation of his patented technologies.

Conclusion

Mahesh Raghavan's contributions to the field of data management through his innovative patents demonstrate his expertise and commitment to improving data handling processes. His work continues to influence the way hierarchically-referenced data is managed and utilized.

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