Jeeyong Lee

Title: Jeeyong Lee: Innovator in Machine Learning for Semiconductor Manufacturing

Introduction

Jeeyong Lee is a prominent inventor based in Suwon-si, South Korea. He has made significant contributions to the field of semiconductor manufacturing through his innovative approaches. His work primarily focuses on integrating machine learning techniques to enhance manufacturing processes.

Latest Patents

Jeeyong Lee holds a patent for a machine learning (ML)-based process proximity correction (PPC) method. This patent outlines a method that includes receiving a first layout of an after clean inspection (ACI) with patterns for manufacturing a semiconductor device. The process involves extracting features from the first pattern, generating a prediction model through machine learning, and creating an ACI target that maximizes process margins. The method also includes generating a second layout of an after development inspection (ADI) by correcting the first layout to align with the ACI target, ultimately predicting the ACI based on the second layout.

Career Highlights

Jeeyong Lee is currently employed at Samsung Electronics Ltd., where he applies his expertise in machine learning to improve semiconductor manufacturing processes. His innovative methods have the potential to significantly enhance production efficiency and product quality.

Collaborations

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Conclusion

Jeeyong Lee's contributions to the field of semiconductor manufacturing through his machine learning-based methods exemplify the intersection of technology and innovation. His work continues to influence advancements in the industry.