Aachen, Germany

Thomas Santen

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2014

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Thomas Santen: Innovator in Stream Processing Technology

Introduction

Thomas Santen is a notable inventor based in Aachen, Germany. He has made significant contributions to the field of stream processing, particularly in the context of heterogeneous hardware devices. His innovative work has led to the development of a patent that enhances the efficiency of stream processing applications.

Latest Patents

Thomas Santen holds a patent titled "Stream processing on heterogeneous hardware devices." This patent describes a stream processing execution engine that evaluates development-time performance characteristic estimates alongside run-time parameters. The engine schedules the execution of stream processing software components in a stack of a stream processing application, ensuring that a defined performance criterion is met within a heterogeneous hardware device. The application consists of interdependent stream processing software components, and the execution engine assesses multiple computational resources to optimize performance.

Career Highlights

Thomas Santen is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate in the realm of technology. His work focuses on improving the performance and efficiency of stream processing applications, which are increasingly vital in today's data-driven world.

Collaborations

Some of Thomas Santen's coworkers include Alexandre De Baynast and Arsalan Ahmad. Their collaborative efforts contribute to the advancement of technology in stream processing and related fields.

Conclusion

Thomas Santen's contributions to stream processing technology exemplify the impact of innovative thinking in the tech industry. His patent and work at Microsoft Technology Licensing, LLC highlight his commitment to enhancing computational efficiency in heterogeneous environments.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…