Barbara Rakitsch

Title: Barbara Rakitsch: Innovator in Time-Series Predictions

Introduction

Barbara Rakitsch is a prominent inventor based in Stuttgart, Germany. She has made significant contributions to the field of computer science, particularly in the area of time-series predictions for computer-controlled systems. Her innovative approach combines domain knowledge with advanced modeling techniques.

Latest Patents

Barbara holds a patent for a groundbreaking method titled "Making time-series predictions of a computer-controlled system." This computer-implemented method involves training a model that utilizes a stochastic differential equation (SDE). The SDE comprises a drift component and a diffusion component. The drift component includes a predefined part that represents domain knowledge, which is input into the training process, along with a trainable part. During model training, the values of the SDE variables at a current time point are predicted based on their previous values, allowing for model refinement. The predefined part of the drift component is evaluated to obtain a first drift, which is then combined with a second drift derived from the trainable part.

Career Highlights

Barbara is currently employed at Robert Bosch GmbH, where she applies her expertise in developing advanced predictive models. Her work has garnered attention for its innovative approach and practical applications in various industries.

Collaborations

Barbara collaborates with talented colleagues, including Melih Kandemir and Sebastian Gerwinn, who contribute to her projects and enhance the research environment at Robert Bosch GmbH.

Conclusion

Barbara Rakitsch is a trailblazer in the field of time-series predictions, with her patent showcasing her innovative methods and contributions to computer science. Her work continues to influence advancements in predictive modeling and computer-controlled systems.