Tainan, Taiwan

Hsincheng Lai

This inventor holds 1 USPTO granted patent. Top assignee: Applied Materials, Inc.. Active years: 2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hsincheng Lai. Retrieved from https://idiyas.com/inventor/hsincheng-lai

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Hsincheng Lai: Innovator in Lamp Failure Prediction Technology

Introduction

Hsincheng Lai is a notable inventor based in Tainan, Taiwan. He has made significant contributions to the field of thermal processes, particularly in improving lamp failure prediction quality. His innovative approach addresses the challenges posed by tuning disturbances in lamp modules.

Latest Patents

Hsincheng Lai holds a patent titled "Method for rejecting tuning disturbances to improve lamp failure prediction quality in thermal processes." This patent outlines methods for reducing or eliminating the impact of tuning disturbances during the prediction of lamp failure. The method involves monitoring data from a lamp module using physical sensors, creating virtual sensors based on this data, and developing a prediction model that utilizes these virtual sensors as inputs.

Career Highlights

Hsincheng Lai is currently employed at Applied Materials, Inc., a leading company in the field of materials engineering. His work focuses on enhancing the reliability and efficiency of thermal processes in various applications.

Collaborations

Hsincheng has collaborated with esteemed colleagues, including Haw Jyue Luo and Subrahmanyam Venkata Rama Kommisetti. These collaborations have further enriched his research and development efforts.

Conclusion

Hsincheng Lai's innovative contributions to lamp failure prediction technology demonstrate his commitment to advancing the field of thermal processes. His work not only enhances the reliability of lamp modules but also showcases the importance of addressing tuning disturbances in predictive models.

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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