This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Semes Co., Ltd.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovations by Hyun Hoo Kim in Substrate Treatment Processes
Introduction
Hyun Hoo Kim is an accomplished inventor based in Cheonan-si, South Korea. He has made significant contributions to the field of substrate treatment processes, particularly through his innovative use of deep learning models. His work aims to enhance the efficiency and reliability of substrate treatment processes in various applications.
Latest Patents
Hyun Hoo Kim holds a patent for an "Apparatus for processing substrate and method of determining whether substrate treatment process is normal." This inventive concept provides a method to determine the normalcy of a substrate treatment process using a deep learning model. The method involves receiving input from a substrate treatment process video, preprocessing the inputted video, utilizing the deep learning model to analyze the preprocessed video, and determining the normalcy of the substrate treatment process by comparing the trained model with a real-time substrate treatment process video. He has 1 patent to his name.
Career Highlights
Hyun Hoo Kim is currently employed at Semes Co., Ltd., where he continues to develop innovative solutions in substrate processing. His expertise in integrating deep learning with substrate treatment processes has positioned him as a key figure in his field.
Collaborations
Some of his notable coworkers include Ohyeol Kwon and Soo Yeon Shin, who contribute to the collaborative environment at Semes Co., Ltd. Their combined efforts foster innovation and drive advancements in substrate treatment technologies.
Conclusion
Hyun Hoo Kim's work exemplifies the intersection of technology and innovation in substrate treatment processes. His contributions are paving the way for more efficient and reliable methods in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
