Kaohsiung, Taiwan

Kuo-Wei Wu

This inventor holds 1 USPTO granted patent. Top assignee: The University of Akron. Active years: 2013.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kuo-Wei Wu. Retrieved from https://idiyas.com/inventor/kuo-wei-wu-ny86wko5

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


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Kuo-Wei Wu: Innovator in Earthquake Prediction Technology

Introduction

Kuo-Wei Wu is a notable inventor based in Kaohsiung, Taiwan. He has made significant contributions to the field of earthquake prediction through his innovative work on radon monitoring systems. His research focuses on utilizing radon emissions as a predictive tool for seismic activity.

Latest Patents

Kuo-Wei Wu holds a patent for a "Radon monitoring system for earthquake prediction." This invention is designed to remotely monitor the release of radon gas and utilize the collected data to predict earthquakes. The system represents a significant advancement in the field of earthquake prediction technology.

Career Highlights

Kuo-Wei Wu is affiliated with The University of Akron, where he continues to develop and refine his innovative ideas. His work has garnered attention for its potential to enhance public safety through improved earthquake prediction methods.

Collaborations

Kuo-Wei Wu has collaborated with notable colleagues, including Lindgren Lin Chyi and Thomas J Quick. These partnerships have contributed to the advancement of his research and the development of his patented technology.

Conclusion

Kuo-Wei Wu's contributions to earthquake prediction through his radon monitoring system highlight the importance of innovation in enhancing safety and preparedness. His work exemplifies the potential of scientific research to address real-world challenges.

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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