Stuttgart, Germany

Konrad Groh

USPTO Granted Patents = 14 

 

Average Co-Inventor Count = 1.9

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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14 patents (USPTO):Explore Patents

Title: Innovator Spotlight: Konrad Groh

Introduction

Konrad Groh is a prominent inventor based in Stuttgart, Germany, known for his significant contributions to the field of technology and engineering. With an impressive portfolio of 13 patents, he has been instrumental in developing advanced methodologies and devices that enhance data-based decision-making processes in various applications.

Latest Patents

Among his latest innovations, Groh has patented a groundbreaking method and device for training a data-based time determining model aimed at optimizing the opening and closing times of injection valves using machine learning techniques. This innovative approach employs a computer-implemented method that utilizes sensor signals to generate an unlabeled analysis point time series. By training the time determining model, Groh has effectively streamlined the process of assigning specific time specifications to these valves.

Another notable patent involves a technique for plausibilizing the outputs of artificial neural networks (ANNs) when used as classifiers. This method includes analyzing multiple images and their classifications determined by the ANN, along with the development of a location-resolved relevance evaluation to ascertain which parts of the images contributed most to the classifications. The method robustly enhances the reliability of ANN outputs, thereby improving their applicability in real-world scenarios.

Career Highlights

Konrad Groh currently works for Robert Bosch GmbH, a global leader in technology and engineering solutions. His career is marked by a commitment to pushing the boundaries of innovation, leading to the successful development and patenting of multiple technologies that have the potential to revolutionize the industry.

Collaborations

Throughout his career, Groh has collaborated with talented professionals including Andreas Hopf and Erik Tonner. These collaborations have fostered a dynamic environment for innovation, allowing for the sharing of ideas and expertise that enhance the development of new technologies.

Conclusion

Konrad Groh’s work exemplifies the spirit of innovation that drives technological progress. With his impressive list of patents and contributions to machine learning and neural networks, he continues to be a vital figure in the engineering landscape, paving the way for the next generation of advancements in the industry. His innovative methods not only demonstrate his technical prowess but also highlight the importance of collaboration in achieving transformative ideas.

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