This inventor holds 4 USPTO granted patents and 2 published patent applications. Top assignee: Applied Materials, Inc.. Active years: 2016-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2016-2025
Title: Thomas Ho Fai Li: Innovator in Machine Learning and Polishing Technology
Introduction
Thomas Ho Fai Li is a prominent inventor based in San Jose, CA. He has made significant contributions to the fields of machine learning and chemical mechanical polishing. With a total of 4 patents, his work has advanced the technology used in substrate processing and monitoring.
Latest Patents
One of his latest patents focuses on machine learning model training. This method involves receiving spectral data of a substrate and corresponding metrology data. It includes determining various feature model configurations and combinations, generating input datasets, and training machine learning models to produce outputs based on these datasets. Another notable patent addresses chemical mechanical polishing slurry buildup monitoring. This invention comprises a substrate polishing apparatus equipped with a fluorescent material, a light source, an image sensor, and a processor to monitor slurry buildup effectively.
Career Highlights
Thomas Ho Fai Li is currently employed at Applied Materials, Inc., a leading company in the semiconductor and display industries. His innovative work has positioned him as a key figure in the development of advanced technologies that enhance manufacturing processes.
Collaborations
Throughout his career, Thomas has collaborated with talented individuals such as Christopher Heung-Gyun Lee and Bum Jick Kim. These partnerships have fostered a creative environment that has led to groundbreaking advancements in their respective fields.
Conclusion
Thomas Ho Fai Li's contributions to machine learning and polishing technology exemplify his innovative spirit and dedication to advancing industry standards. His patents reflect a commitment to improving processes and technologies that are vital to modern manufacturing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
