Somerset, NJ, United States of America

Jie Ren

This inventor holds 1 USPTO granted patent. Top assignee: Future Wei Technologies, Inc.. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jie Ren. Retrieved from https://idiyas.com/inventor/jie-ren-1woyre08

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 = 9.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Jie Ren - Innovator in Telecommunications

Introduction

Jie Ren is a prominent inventor based in Somerset, NJ (US). He has made significant contributions to the field of telecommunications through his innovative work. His expertise lies in utilizing advanced technologies to enhance communication systems.

Latest Patents

Jie Ren holds 1 patent for his invention titled "Predicting received signal strength in a telecommunication network using deep neural networks." This patent describes a computer-implemented method that predicts received signal strength in a telecommunication network. The method involves receiving geographic data and antenna information, inputting this data into a convolutional neural network, and predicting the received signal strength based on the processed information.

Career Highlights

Jie Ren is currently employed at Future Wei Technologies, Inc., where he continues to develop innovative solutions in telecommunications. His work focuses on improving the accuracy and efficiency of signal strength predictions, which is crucial for enhancing network performance.

Collaborations

Jie has collaborated with notable colleagues, including Jin Yang and Xin Zhang, who contribute to the advancement of technology in their respective areas.

Conclusion

Jie Ren's contributions to telecommunications through his innovative patent demonstrate his commitment to advancing technology in this critical field. His work continues to influence the way we understand and utilize communication networks.

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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