Daejeon, South Korea

Jae Sun Lee

This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignees: Korea Advanced Institute of Science and Technology, Sm Instruments Co., Ltd. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jae Sun Lee. Retrieved from https://idiyas.com/inventor/jae-sun-lee-ojie9lib

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovations of Jae Sun Lee

Introduction

Jae Sun Lee is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of technology, particularly in the area of cough recognition systems. His innovative approach combines deep learning techniques with audio signal processing to enhance healthcare solutions.

Latest Patents

Jae Sun Lee holds a patent for a "Deep learning-based cough recognition method and device." This invention provides a method and device capable of detecting cough sounds from an audio signal. It not only identifies coughs but also tracks the location from which the cough sounds are generated by calculating the sound source's position. This technology has the potential to improve patient monitoring and diagnosis in medical settings.

Career Highlights

Throughout his career, Jae Sun Lee has worked with esteemed organizations such as the Korea Advanced Institute of Science and Technology and Sm Instruments Co., Ltd. His experience in these institutions has allowed him to develop and refine his innovative ideas, contributing to advancements in technology and healthcare.

Collaborations

Jae Sun Lee has collaborated with notable colleagues, including Yong Hwa Park and Gyeong Tae Lee. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Jae Sun Lee's work exemplifies the intersection of technology and healthcare, showcasing how innovative inventions can lead to improved medical solutions. His contributions, particularly in cough recognition, highlight the importance of integrating deep learning with practical applications.

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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