Nantong, China

Zilong Ma

This inventor holds 1 USPTO granted patent. Top assignees: Chinese Academy of Sciences, Nantong University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zilong Ma. Retrieved from https://idiyas.com/inventor/zilong-ma-uoth85hg

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


% 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: Zilong Ma: Innovator in Lightning Signal Processing

Introduction

Zilong Ma is a notable inventor based in Nantong, China. He has made significant contributions to the field of lightning signal processing. His innovative approach has led to the development of a unique method for analyzing signal irregularity in lightning leaders.

Latest Patents

Zilong Ma holds a patent titled "Method for analyzing signal irregularity of radiation in lightning leader." This method involves several steps, including acquiring electric field signals, segmenting these signals, and calculating average sample entropy values. The process quantifies the irregularity of radiation in lightning leaders and predicts development characteristics of irregular radiation.

Career Highlights

Throughout his career, Zilong Ma has worked with prestigious institutions such as Nantong University and the Chinese Academy of Sciences. His work has focused on advancing the understanding of lightning phenomena and improving safety measures related to lightning strikes.

Collaborations

Zilong Ma has collaborated with notable colleagues, including Rubin Jiang and Xiushu Qie. Their combined expertise has contributed to the advancement of research in lightning signal processing.

Conclusion

Zilong Ma's innovative methods and collaborations have significantly impacted the field of lightning signal processing. His contributions continue to enhance our understanding of lightning behavior and improve safety measures.

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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