Seoul, South Korea

Myeong Seong Bak

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Neurogrin Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Myeong Seong Bak. Retrieved from https://idiyas.com/inventor/myeong-seong-bak

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 = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Myeong Seong Bak

Myeong Seong Bak is a notable inventor based in Seoul, South Korea. He has made significant contributions to the field of pain assessment through his innovative methods. His work focuses on utilizing advanced technology to improve the understanding and evaluation of pain in animals.

Latest Patents

Myeong Seong Bak holds a patent for a "Pain assessment method based on deep learning model and analysis device." This patent discloses a method that involves receiving an image indicating activity in a specific brain area of a subject animal. The analysis device inputs images of regions of interest into a neural network model to assess the pain of the subject animal based on the output from the model. This innovative approach represents a significant advancement in pain assessment techniques.

Career Highlights

Myeong Seong Bak is currently employed at Neurogrin Inc., where he continues to develop and refine his innovative methods. His work at the company emphasizes the integration of deep learning technologies in medical assessments, particularly in understanding pain mechanisms in animals.

Collaborations

Some of his notable coworkers include Sun Kwang Kim and Hee Ra Yoon. Their collaborative efforts contribute to the ongoing research and development in the field of pain assessment and deep learning applications.

Conclusion

Myeong Seong Bak's contributions to pain assessment through deep learning represent a significant step forward in the field. His innovative methods and dedication to research continue to influence advancements in understanding pain in animals.

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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