Pleasanton, CA, United States of America

Shin-Yee Lu

USPTO Granted Patents = 4 

Average Co-Inventor Count = 1.3

ph-index = 2

Forward Citations = 230(Granted Patents)


Company Filing History:


Years Active: 1998-2024

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4 patents (USPTO):Explore Patents

Title: Innovations of Shin-Yee Lu

Introduction

Shin-Yee Lu is a prominent inventor based in Pleasanton, CA (US). He has made significant contributions to the field of defect inspection technology, holding a total of 4 patents. His work focuses on utilizing advanced methodologies to enhance the accuracy and efficiency of defect detection in various samples.

Latest Patents

One of his latest patents is a method and apparatus for inspecting pattern collapse defects. This innovative method involves detecting defects on a sample using a defect inspection apparatus. The process begins with organizing an image data set that includes both defect data and non-defect data. A convolutional neural network (CNN) model is then defined and trained based on this image data set. The defects on the sample are identified using inspection data from the defect inspection apparatus in conjunction with the trained CNN model. The sample typically consists of uniformly repeating structures, and the inspection data is generated by filtering out signals from these structures.

Career Highlights

Shin-Yee Lu has worked with notable organizations, including Tokyo Electron Limited and the University of California. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking advancements in his field.

Collaborations

Throughout his career, Shin-Yee Lu has collaborated with various professionals, including his coworker Ivan Maleev. These collaborations have fostered an environment of innovation and have led to the development of new technologies.

Conclusion

Shin-Yee Lu's contributions to defect inspection technology exemplify the impact of innovative thinking in engineering. His patents and career achievements highlight his dedication to advancing the field and improving inspection methodologies.

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