Taipei, Taiwan

Wan-Hsueh Lai

This inventor holds 1 USPTO granted patent. Top assignee: Applied Materials, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wan-Hsueh Lai. Retrieved from https://idiyas.com/inventor/wan-hsueh-lai-mbyt2len

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Wan-Hsueh Lai in Machine Learning for Manufacturing

Introduction

Wan-Hsueh Lai is an accomplished inventor based in Taipei, Taiwan. He has made significant contributions to the field of machine learning, particularly in its application to manufacturing equipment. His innovative approach has led to the development of a unique method for generating and updating machine learning models.

Latest Patents

Wan-Hsueh Lai holds 1 patent for his invention titled "Machine learning model generation and updating for manufacturing equipment." This patent describes a method that determines when conditions in a processing chamber have changed since the associated machine learning model was trained. The method distinguishes between gradual and sudden changes in conditions, allowing for tailored training processes to generate new machine learning models accordingly.

Career Highlights

Lai is currently employed at Applied Materials, Inc., a leading company in the field of materials engineering. His work focuses on enhancing manufacturing processes through advanced machine learning techniques. His expertise in this area has positioned him as a valuable asset to his team and the industry.

Collaborations

Wan-Hsueh Lai collaborates with his coworker, Hong-Rui Chen, to further advance their research and development efforts. Their combined expertise contributes to the innovative solutions being developed at Applied Materials, Inc.

Conclusion

Wan-Hsueh Lai's contributions to machine learning in manufacturing equipment exemplify the potential of innovation in enhancing industrial processes. His work not only reflects his expertise but also the importance of adapting technology to meet changing conditions in manufacturing environments.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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