This inventor holds 1 USPTO granted patent. Top assignee: National Yang Ming Chiao Tung University. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Nan-Yow Chen: Innovator in Predictive Reliability Systems
Introduction
Nan-Yow Chen is a distinguished inventor based in Taipei, Taiwan. He has made significant contributions to the field of predictive reliability systems, showcasing his expertise through innovative patents. His work focuses on enhancing the reliability of objects through advanced technological solutions.
Latest Patents
One of Nan-Yow Chen's notable patents is titled "Auxiliary prediction system for predicting reliability, and method and computer program product thereof." This patent introduces an auxiliary prediction system designed to assess the reliability of an object after a specific operation is applied. The system comprises an image correction module that transforms the original image of the target object into a corrected version. Additionally, an analysis module utilizes a trained artificial intelligence model to conduct feature analysis on the corrected image, enabling the prediction of potential defects in the target object.
Career Highlights
Nan-Yow Chen is affiliated with National Yang Ming Chiao Tung University, where he contributes to research and development in his field. His academic background and professional experience have positioned him as a key figure in the realm of predictive technologies.
Collaborations
Throughout his career, Nan-Yow Chen has collaborated with esteemed colleagues, including King-Ning Tu and Chih Hung Chen. These partnerships have fostered innovation and advancement in their shared areas of expertise.
Conclusion
Nan-Yow Chen's work exemplifies the intersection of technology and reliability prediction, making significant strides in the field. His contributions through patents and collaborations continue to influence advancements in predictive systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile