Basking Ridge, NJ, United States of America

Prashanth Jeganathen

This inventor holds 1 USPTO granted patent. Top assignee: Ubs Business Solutions Ag. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Prashanth Jeganathen. Retrieved from https://idiyas.com/inventor/prashanth-jeganathen

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Prashanth Jeganathen: Innovator in Dynamic Thematic Relationships

Introduction

Prashanth Jeganathen is an accomplished inventor based in Basking Ridge, NJ. He has made significant contributions to the field of data analysis through his innovative patent. His work focuses on the intersection of machine learning and thematic relationship identification.

Latest Patents

Prashanth holds a patent titled "Methods and systems for identifying dynamic thematic relationships as a function of time." This patent describes methods and systems that enhance the identification of thematic relationships in data sets using machine learning models. Specifically, it addresses the identification of dynamic thematic relationships that may evolve over time.

Career Highlights

Prashanth is currently employed at UBS Business Solutions AG, where he applies his expertise in machine learning and data analysis. His work has positioned him as a key player in the development of innovative solutions in his field.

Collaborations

Some of Prashanth's notable coworkers include Barry Scott Hurewitz and Hanoz Bhathena. Their collaboration contributes to the advancement of projects within their organization.

Conclusion

Prashanth Jeganathen's contributions to the field of data analysis through his innovative patent demonstrate his commitment to advancing technology. His work continues to influence the way thematic relationships are understood and utilized in various applications.

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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