Munich, Germany

Jean Pascal John


 

Average Co-Inventor Count = 3.4

ph-index = 1


Company Filing History:


Years Active: 2020-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Jean Pascal John

Introduction

Jean Pascal John is a notable inventor based in Munich, Germany. He has made significant contributions to the field of technology, particularly in the area of diagnostics for technical plants. With a total of 2 patents, his work reflects a commitment to advancing industrial processes.

Latest Patents

Jean Pascal John's latest patents include a "Method and system for diagnosing messages" and an "Automated determination of a parameterization of an evaluation method." The first patent focuses on diagnosing messages generated during the operation of a technical plant. It utilizes data sets and a self-organizing map to determine diagnostic statements, aiding plant operators in identifying process messages. The second patent outlines a method for automatically determining a parameterization of an evaluation method via a computer. This method involves generating a comparison data set and stipulating a parameterization that influences the identification of partial data items, ensuring efficiency in evaluations.

Career Highlights

Jean Pascal John is currently employed at Siemens Aktiengesellschaft, a leading global technology company. His role involves leveraging his expertise to enhance the functionality and reliability of industrial systems. His innovative approaches have positioned him as a valuable asset within the organization.

Collaborations

Throughout his career, Jean has collaborated with notable colleagues, including Thomas Bierweiler and Daniel Labisch. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and the development of cutting-edge solutions.

Conclusion

Jean Pascal John's contributions to innovation in industrial diagnostics exemplify the impact of dedicated inventors in advancing technology. His patents not only enhance operational efficiency but also support plant operators in making informed decisions.

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