This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Verizon Patent and Licensing Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
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.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
