Daejeon, South Korea

Munyoung Lee

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Electronics and Telecommunications Research Institute. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Munyoung Lee. Retrieved from https://idiyas.com/inventor/munyoung-lee-7fmh4m54

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Munyoung Lee in Machining Technology.

Introduction

Munyoung Lee is a notable inventor based in Daejeon, South Korea. He has made significant contributions to the field of machining technology, particularly in the diagnosis of spindles in machining centers.

Latest Patents

Munyoung Lee holds a patent for an "Apparatus and method for step-wise spindle diagnosis for machining center with different tools loaded." This invention focuses on verifying the suitability of a tool and diagnosing a spindle for a machining center equipped with various tools. The system monitors tool changes, controls the spindle during idling, and utilizes machine learning technology to verify tool suitability and diagnose spindle operating states.

Career Highlights

Munyoung Lee is affiliated with the Electronics and Telecommunications Research Institute, where he continues to innovate in the field of machining technology. His work emphasizes the integration of advanced technologies to enhance the efficiency and reliability of machining processes.

Collaborations

He collaborates with fellow researcher Sung Jae Yoon, contributing to advancements in their shared field of expertise.

Conclusion

Munyoung Lee's innovative work in machining technology showcases the importance of integrating machine learning with traditional manufacturing processes. His contributions are paving the way for more efficient and reliable machining operations.

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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