Seoul, South Korea

Jingun Hong

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):Explore Patents

Title: Innovations of Inventor Jingun Hong

Introduction

Jingun Hong is a notable inventor based in Seoul, South Korea. He has made significant contributions to the field of technology, particularly in database management and machine learning. With a total of 4 patents, his work reflects a deep understanding of complex systems and innovative solutions.

Latest Patents

One of Jingun Hong's latest patents is focused on database instance clustering. This innovation allows for the clustering of database instances using various attributes, such as resource assignments, configuration details, and user interactions. The method enables efficient workload capture from selected instances within these clusters, optimizing resource utilization.

Another significant patent involves machine learning-based pre-submit test selection. This process utilizes machine learning algorithms to assess new code changes by generating feature vectors based on historical test data. The algorithm ranks pre-submit tests, allowing for the selection of the most relevant tests to evaluate the new code changes. This innovation not only streamlines the testing process but also enhances the accuracy of code assessments.

Career Highlights

Jingun Hong is currently employed at SAP SE, where he continues to develop and refine his innovative ideas. His work at SAP SE has positioned him as a key player in advancing technology solutions that address real-world challenges.

Collaborations

Jingun collaborates with talented individuals such as Dong Won Hwang and Sumi Yun. Their combined expertise fosters a creative environment that drives innovation and enhances project outcomes.

Conclusion

Jingun Hong's contributions to technology through his patents demonstrate his commitment to innovation and excellence. His work in database management and machine learning continues to influence the industry positively.

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