Markgroeningen, Germany

Roland Norden

USPTO Granted Patents = 10 

 

Average Co-Inventor Count = 2.6

ph-index = 2

Forward Citations = 13(Granted Patents)


Location History:

  • Markgroeningen, DE (2014 - 2015)
  • Kornwestheim, DE (2020 - 2023)

Company Filing History:


Years Active: 2014-2025

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10 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Roland Norden

Introduction

Roland Norden is a prominent inventor based in Markgroeningen, Germany. He has made significant contributions to the field of engineering, particularly in the area of fuel injection systems. With a total of 10 patents to his name, Norden's work has advanced the application of machine learning in automotive technology.

Latest Patents

Norden's latest patents include a method and device for training a data-based time determining model for determining the opening or closing time of an injection valve using a machine learning method. This computer-implemented method involves training a model based on sensor signals to accurately determine the timing of valve operations. Another notable patent focuses on operating a fuel injection valve with machine learning methods, which enhances the precision of opening and closing times based on sensor data.

Career Highlights

Norden is currently employed at Robert Bosch GmbH, a leading company in automotive technology and engineering. His work at Bosch has allowed him to innovate and implement advanced solutions in fuel injection systems, contributing to the efficiency and performance of modern vehicles.

Collaborations

Throughout his career, Norden has collaborated with talented individuals such as Andreas Hopf and Erik Tonner. These partnerships have fostered a creative environment that has led to groundbreaking advancements in their respective fields.

Conclusion

Roland Norden's contributions to the field of engineering, particularly in fuel injection systems, demonstrate his innovative spirit and commitment to advancing technology. His patents reflect a deep understanding of machine learning applications, positioning him as a key figure in the automotive industry.

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