Wuhan, China

Runze Xu


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Runze Xu: A Pioneer in Data Deletion Technology.

Introduction

Runze Xu is an accomplished inventor based in Wuhan, China. He has made significant contributions to the field of data management, particularly in the secure deletion of personal data. His innovative approach addresses the growing concerns surrounding data privacy and security in today's digital age.

Latest Patents

Runze Xu holds a patent for a groundbreaking invention titled "Method and system for deleting multi-copy personal data efficiently and securely." This patent outlines a method where personal data and its subject identifier are signed and uploaded to various data domains, stored as personal data copies. The system allows for the efficient circulation of these data copies among data domains. Upon receiving a deletion instruction, the relevant data domains execute the deletion process based on the identifier of the personal data subject. After the deletion is completed, the data domain logs the operation and feeds this information back to its superior data domain. This innovative system enables association-based storage, deletion, and verification of multi-copy personal data.

Career Highlights

Runze Xu is affiliated with Huazhong University of Science and Technology, where he continues to advance his research and development in data management technologies. His work has garnered attention for its practical applications in enhancing data security and privacy.

Collaborations

Runze Xu collaborates with Wei Wang, contributing to the development of innovative solutions in the field of data management. Their partnership exemplifies the importance of teamwork in driving technological advancements.

Conclusion

Runze Xu's contributions to the field of data deletion technology highlight his role as a leading inventor in addressing critical issues of data privacy and security. His innovative methods pave the way for more secure data management practices in the future.

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