Tomislav Tomov

Title: Tomislav Tomov: Innovator in Deep Latent Feature Extraction

Introduction

Tomislav Tomov is a notable inventor based in Munich, Germany. He has made significant contributions to the field of industrial sensor data processing. His innovative work focuses on developing methods for building deep latent feature extractors, which are essential for enhancing the capabilities of neural networks.

Latest Patents

Tomov holds a patent titled "Methods for building a deep latent feature extractor for industrial sensor data." This patent describes a method and system for constructing a latent feature extractor, as well as a neural network that incorporates this extractor. The method involves providing non-uniform training data for various tasks and optimizing the parameters of the neural network based on these tasks. He has 1 patent to his name.

Career Highlights

Tomislav Tomov is currently employed at Siemens Aktiengesellschaft, a leading global technology company. His role at Siemens allows him to apply his expertise in neural networks and sensor data processing, contributing to advancements in industrial applications.

Collaborations

Throughout his career, Tomov has collaborated with esteemed colleagues, including Denis Krompaß and Hans-Georg Köpken. These collaborations have further enriched his work and fostered innovation in the field.

Conclusion

Tomislav Tomov is a pioneering inventor whose work in deep latent feature extraction is shaping the future of industrial sensor data processing. His contributions are vital for the advancement of neural network technologies.