Wellesley, MA, United States of America

Jiang Xin

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jiang Xin. Retrieved from https://idiyas.com/inventor/jiang-xin-8yhc16l5

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jiang Xin: Innovator in Automobile Radar Technology

Introduction

Jiang Xin is a notable inventor based in Wellesley, MA (US). He has made significant contributions to the field of automobile radar technology. His innovative work focuses on enhancing sensing systems for vehicles, which is crucial for the advancement of autonomous driving.

Latest Patents

Jiang Xin holds 1 patent for his invention titled "Automobile radars based on gradient-index lens." This patent describes a sophisticated sensing system that includes a first sub-sensing system with a gradient-index lens. The system is designed to receive signals from various fields of view, improving the accuracy and efficiency of automobile radars.

Career Highlights

Jiang Xin is currently employed at Lunewave Inc., where he continues to develop cutting-edge technologies in the automotive sector. His work at Lunewave Inc. has positioned him as a key player in the innovation of radar systems for vehicles.

Collaborations

Throughout his career, Jiang has collaborated with talented individuals such as Hao Xin and Min Liang. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Jiang Xin's contributions to automobile radar technology exemplify the spirit of innovation in the automotive industry. His work not only enhances vehicle safety but also paves the way for future advancements in autonomous driving systems.

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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