Frank Kowol

Title: Frank Kowol: Innovator in Machine Learning for Injection Valves

Introduction

Frank Kowol is a notable inventor based in Ludwigsburg, Germany. He has made significant contributions to the field of machine learning, particularly in the operation of injection valves. With a total of six patents to his name, Kowol's work is at the forefront of technological advancements in this area.

Latest Patents

Kowol'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 innovative approach involves a computer-implemented method that trains a model based on sensor signals. The process includes providing an unlabeled analysis point time series and utilizing a consistency loss function for training. Another significant patent focuses on operating a fuel injection valve with machine learning methods. This method determines the opening or closing time of the valve based on sensor signals and employs both non-linear and linear data-based sub-models to achieve accurate timing.

Career Highlights

Frank Kowol is currently employed at Robert Bosch GmbH, a leading company in engineering and technology. His work at Bosch has allowed him to apply his innovative ideas in practical applications, contributing to the company's reputation for excellence in the automotive and industrial sectors.

Collaborations

Kowol has collaborated with notable coworkers such as Andreas Hopf and Erik Tonner. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Frank Kowol's contributions to the field of machine learning and injection valve technology exemplify the impact of innovation in engineering. His patents reflect a commitment to advancing technology and improving operational efficiency in critical systems.