This inventor holds 1 USPTO granted patent and 5 published patent applications and 1 EPO patent. Top assignee: Hyundai Engineering Co. Ltd.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Kwang Myung Kim: Innovator in N-Value Prediction Technology
Introduction
Kwang Myung Kim is a notable inventor based in Gyeonggi-do, South Korea. He has made significant contributions to the field of artificial intelligence and data augmentation, particularly in predicting N-values through innovative methodologies. His work is essential for improving ground investigation techniques.
Latest Patents
Kwang Myung Kim holds a patent for a "Prediction apparatus and method for N value using artificial intelligence and data augmentation." This invention includes a hypothetical learning data augmentation unit that generates hypothetical N-values based on actual measurements from the Standard Penetration Test. The N-value prediction model learning unit utilizes artificial intelligence to learn ground characteristic data, which includes both actual and hypothetical N-values. Additionally, the N-value prediction result calculation unit predicts N-values at arbitrary target points using the AI-generated model.
Career Highlights
Kwang Myung Kim is currently employed at Hyundai Engineering Co. Ltd., where he applies his expertise in engineering and technology. His innovative approach to N-value prediction has positioned him as a key figure in his field.
Collaborations
He has collaborated with notable colleagues, including Hyuong June Park and Chan Jin Park, to further advance their research and development efforts in engineering solutions.
Conclusion
Kwang Myung Kim's contributions to the field of N-value prediction through artificial intelligence demonstrate his commitment to innovation and excellence in engineering. His work continues to influence ground investigation methodologies and improve the accuracy of predictions in various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
