Jersey City, NJ, United States of America

Neil Singh Sethi

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Verizon Patent and Licensing Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Neil Singh Sethi. Retrieved from https://idiyas.com/inventor/neil-singh-sethi

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Neil Singh Sethi: Innovator in Predictive Energy Modeling

Introduction

Neil Singh Sethi is an accomplished inventor based in Jersey City, NJ (US). He has made significant contributions to the field of energy consumption management within cellular networks. His innovative approach focuses on predictive modeling, which enhances the efficiency of cellular network infrastructure.

Latest Patents

Neil Singh Sethi holds a patent for "Predictive modeling of energy consumption in a cellular network." This patent describes a method that involves receiving raw data from various sources while operating a cellular network. The method normalizes this data based on a set of logical cell sites (LCSs) to generate per-LCS data. By utilizing a predictive model, such as a decision tree-based model, the method predicts energy consumption values for each LCS. If the predicted value exceeds historical consumption ranges, the LCS is labeled as an outlier, allowing for better management of energy resources.

Career Highlights

Neil is currently employed at Verizon Patent and Licensing Inc., where he continues to develop innovative solutions in the telecommunications sector. His work has been instrumental in advancing the understanding of energy consumption patterns in cellular networks.

Collaborations

Neil has collaborated with notable colleagues, including Harish Babu Arunachalam and Martin Konkel. Their combined expertise contributes to the innovative projects at Verizon.

Conclusion

Neil Singh Sethi's work in predictive modeling for energy consumption in cellular networks showcases his commitment to innovation and efficiency. His contributions are paving the way for more sustainable practices in telecommunications.

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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