Beijing, China

Chun H Sun

USPTO Granted Patents = 5 

Average Co-Inventor Count = 5.7

ph-index = 1


Company Filing History:


Years Active: 2016-2025

where 'Filed Patents' based on already Granted Patents

5 patents (USPTO):

Title: **Innovative Contributions of Inventor Chun H Sun**

Introduction

Chun H Sun, an accomplished inventor based in Beijing, China, has made significant contributions to the field of data governance and classification. With a total of four patents to her name, she has demonstrated a keen ability to innovate solutions that enhance data processing and utilization.

Latest Patents

Among her latest inventions, Chun H Sun has developed two notable patents:

1. **Mutual Exclusion Data Class Analysis in Data Governance**: This invention involves performing a mutual exclusion data class analysis by identifying a matching data class within various data class groups. Chun's method enables the filtering of data classes to create a more efficient filtered data class group for processing, ultimately decreasing computation time and resource usage.

2. **Fingerprint-Based Data Classification**: This innovative system automates the classification of data through the generation of a unique fingerprint for data columns based on predetermined rules. By comparing the generated fingerprint with target fingerprints, the computing device can classify data more efficiently, allowing for streamlined data management.

Career Highlights

Chun H Sun is associated with International Business Machines Corporation (IBM), a renowned leader in technology and innovation. Her role at IBM enables her to contribute to cutting-edge research and development in data management technologies.

Collaborations

Throughout her career, Chun has collaborated with esteemed colleagues such as Brian K Caufield and Ron E Liu. Their teamwork has likely played a crucial role in refining her innovative ideas and advancing the research in their field.

Conclusion

Chun H Sun's inventive spirit and dedication to improving data processes have led to remarkable advancements in technology. Her contributions not only highlight her expertise but also underscore the importance of collaboration and innovation in driving progress within the industry. The impact of her patents continues to pave the way for future developments in data governance and classification.

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