Thomas Briegel

Title: Thomas Briegel: Innovator in Neural Modelling

Introduction

Thomas Briegel is a notable inventor based in Munich, Germany. He has made significant contributions to the field of neural modelling, particularly in the context of dynamic systems with non-linear stochastic behavior. His innovative approach has implications for various applications, including healthcare.

Latest Patents

Briegel holds a patent for a method and arrangement for the neural modelling of a dynamic system with non-linear stochastic behavior. This patent describes a technique that utilizes a combination of a non-linear computerized recurrent neural predictive network and a linear error model. The method is designed to produce predictions when only a few measured values of the influencing variable are available. The model is particularly useful for predicting values related to glucose-insulin metabolism in diabetes patients.

Career Highlights

Thomas Briegel is associated with Siemens Aktiengesellschaft, a leading global technology company. His work at Siemens has allowed him to explore advanced methodologies in neural networks and predictive modelling. His contributions have been recognized within the industry, showcasing his expertise in the field.

Collaborations

Briegel has collaborated with Volker Tresp, a fellow innovator in the field. Their partnership has likely fostered advancements in neural modelling techniques and applications.

Conclusion

Thomas Briegel's work in neural modelling represents a significant advancement in understanding complex dynamic systems. His innovative methods have the potential to improve healthcare outcomes, particularly for diabetes patients.