Alameda, CA, United States of America

John Jensen


 

Average Co-Inventor Count = 2.1

ph-index = 3

Forward Citations = 27(Granted Patents)


Location History:

  • Seattle, WA (US) (1992)
  • Alameda, CA (US) (2004 - 2011)

Company Filing History:


Years Active: 1992-2025

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5 patents (USPTO):Explore Patents

Title: Innovations by John Jensen in Semiconductor Manufacturing

Introduction

John Jensen is a notable inventor based in Alameda, CA, who has made significant contributions to the field of semiconductor manufacturing. With a total of five patents to his name, Jensen's work focuses on data capture and transformation to enhance data analysis and machine learning processes in substrate manufacturing systems.

Latest Patents

One of Jensen's latest patents is titled "Data capture and transformation to support data analysis and machine learning for substrate manufacturing systems." This invention describes a data collection system for semiconductor manufacturing that includes T substrate processing tools, each equipped with N processing chambers. Each chamber has a controller that formats various types of data into a structured format for analysis. Another significant patent is the "Processing information management system in a plasma processing tool." This invention involves a plasma-processing tool that utilizes transducers to collect process data streams, which are then stored and managed based on specific process recipes.

Career Highlights

Throughout his career, John Jensen has worked with prominent companies in the semiconductor industry, including Lam Research Corporation. His experience in these organizations has allowed him to develop innovative solutions that address complex challenges in substrate processing.

Collaborations

Jensen has collaborated with notable professionals in his field, including Chung-Ho Huang and Chad R. Weetman. These collaborations have contributed to the advancement of technology in semiconductor manufacturing.

Conclusion

John Jensen's contributions to semiconductor manufacturing through his innovative patents and collaborations highlight his expertise and commitment to advancing technology in this critical industry. His work continues to influence the field and drive progress in data analysis and machine learning applications.

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