Darmstadt, Germany

Stefan Tex


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Stefan Tex

Introduction

Stefan Tex is a notable inventor based in Darmstadt, Germany. He has made significant contributions to the field of data visualization through his innovative patent. His work focuses on creating interactive methods for visualizing complex hierarchical data, which has applications in various industries.

Latest Patents

Stefan Tex holds a patent for a method titled "Visualization of complex hierarchy data with interactive adjustments." This computer-implemented method creates a node-link model from a hierarchy table that includes multiple records associated with various objects organized in segments. Each record contains a unique identifier, a parent reference, and a value distribution for the associated object. The node-link model consists of nodes representing the objects and links connecting these nodes, illustrating the value distributions between them. The method allows for generating a visual representation of the node-link model in a user interface and can adapt based on user input, enhancing the interactivity and usability of the data visualization.

Career Highlights

Stefan Tex is currently employed at SAP SE, a leading software company known for its enterprise resource planning solutions. His role at SAP SE allows him to leverage his expertise in data visualization and contribute to innovative projects that enhance user experience and data management.

Collaborations

Stefan collaborates with talented colleagues, including Bjoern Christoph and Marco Valentin. Their teamwork fosters a creative environment that drives innovation and leads to the development of cutting-edge solutions in their field.

Conclusion

Stefan Tex exemplifies the spirit of innovation through his work in data visualization. His patent and contributions at SAP SE highlight his commitment to advancing technology and improving how complex data is represented and understood.

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