Mihyun Jang

Title: Mihyun Jang: Innovator in Machine Learning and Process Control

Introduction

Mihyun Jang is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the fields of machine learning and process control, holding a total of 3 patents. His innovative work focuses on enhancing the efficiency and accuracy of substrate processing through advanced methodologies.

Latest Patents

Mihyun Jang's latest patents include a method for machine learning model training. This method involves receiving spectral data of a substrate and corresponding metrology data. It further includes determining various feature model configurations and combinations, generating input datasets, and training machine learning models to produce outputs based on these datasets. Another notable patent is related to process control knob estimation. This method processes sensor data and substrate process data using machine learning models to update process parameter values, ensuring optimal performance in substrate processing environments.

Career Highlights

Mihyun Jang is currently employed at Applied Materials, Inc., a leading company in the semiconductor and display industries. His work at Applied Materials focuses on developing innovative solutions that leverage machine learning to improve manufacturing processes. His expertise in this area has positioned him as a valuable asset to the company.

Collaborations

Mihyun collaborates with talented individuals such as Jeong Jin Hong and Sang Hong Kim. These collaborations enhance the innovative capabilities of their projects and contribute to the advancement of technology in their field.

Conclusion

Mihyun Jang's contributions to machine learning and process control exemplify the impact of innovation in technology. His patents reflect a commitment to improving substrate processing methods, showcasing his role as a leading inventor in the industry.