Hwaseong, South Korea

Hyeyoung Ji

This inventor holds 1 USPTO granted patent. Top assignee: Samsung Electronics Co., Ltd.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hyeyoung Ji. Retrieved from https://idiyas.com/inventor/hyeyoung-ji

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by Hyeyoung Ji in Semiconductor Processes

Introduction

Hyeyoung Ji is a notable inventor based in Hwaseong, South Korea. He has made significant contributions to the field of semiconductor processes, particularly through his innovative use of machine learning. His work focuses on enhancing the reliability and integration of semiconductor layouts.

Latest Patents

Hyeyoung Ji holds a patent for "Methods and devices of correcting layout for semiconductor processes using machine learning." This patent involves determining vertical features that indicate the effects of lower structures on process patterns in semiconductor devices. By training a machine learning module on a training layout, he is able to correct design layouts based on vertical and horizontal features, ultimately improving the reliability of semiconductor processes.

Career Highlights

Hyeyoung Ji is currently employed at Samsung Electronics Co., Ltd., where he continues to push the boundaries of semiconductor technology. His expertise in machine learning applications within semiconductor processes has positioned him as a key player in the industry.

Collaborations

He collaborates with talented coworkers, including Sooyong Lee and Jeeyong Lee, to further advance their projects and innovations in semiconductor technology.

Conclusion

Hyeyoung Ji's contributions to semiconductor processes through his innovative patent demonstrate the potential of machine learning in enhancing technology. His work continues to influence the field and drive advancements in semiconductor manufacturing.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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