Seoul, South Korea

Sejune Cheon

USPTO Granted Patents = 6 

Average Co-Inventor Count = 5.8

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

Loading Chart...
6 patents (USPTO):Explore Patents

Title: Sejune Cheon: Innovator in Machine Learning and Manufacturing Technologies

Introduction

Sejune Cheon is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the fields of machine learning and manufacturing technologies. With a total of 6 patents to his name, Cheon continues to push the boundaries of innovation in his industry.

Latest Patents

One of his latest patents focuses on a machine learning model training method. This method includes receiving spectral data of a substrate and metrology data corresponding to that spectral data. It further involves determining multiple feature model configurations for various feature models, generating input datasets, and training machine learning models to produce outputs based on these datasets. Another notable patent is related to diagnostic tool to tool matching methods for manufacturing equipment. This method processes trace sensor data from a manufacturing process, generates summary data, and provides alerts to users based on a quality index score.

Career Highlights

Sejune Cheon is currently employed at Applied Materials, Inc., a leading company in the field of materials engineering. His work at Applied Materials has allowed him to develop innovative solutions that enhance manufacturing processes and improve efficiency.

Collaborations

Throughout his career, Cheon has collaborated with notable colleagues, including Sang Hong Kim and Jeong Jin Hong. These collaborations have contributed to the advancement of technologies in their respective fields.

Conclusion

Sejune Cheon is a distinguished inventor whose work in machine learning and manufacturing technologies has garnered attention and respect in the industry. His innovative patents and contributions continue to shape the future of manufacturing processes.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…