Munich, Germany

Martin Kaufmann

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Huawei Technologies Co., Limited. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Martin Kaufmann. Retrieved from https://idiyas.com/inventor/martin-kaufmann-6mo87t37

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Martin Kaufmann: Innovator in Event Processing Systems

Introduction

Martin Kaufmann is a notable inventor based in Munich, Germany. He has made significant contributions to the field of event processing systems, showcasing his expertise through innovative solutions. His work is particularly recognized for its impact on database systems.

Latest Patents

Kaufmann holds a patent for an event processing system. This system is designed to process a stream of events operating on a database system. It comprises an event load balancing unit, multiple event computing nodes, and several event state stores. The event load balancing unit routes the stream of events to the computing nodes, while the state stores maintain the states of these nodes to ensure effective event processing.

Career Highlights

Kaufmann is currently employed at Huawei Technologies Co., Limited, where he continues to develop cutting-edge technologies. His work has positioned him as a key player in the advancement of event processing systems.

Collaborations

He has collaborated with notable colleagues, including Eliezer Levy and Aharon Avitzur, contributing to various projects that enhance the capabilities of event processing technologies.

Conclusion

Martin Kaufmann's innovative work in event processing systems exemplifies his commitment to advancing technology in database management. His contributions are invaluable to the field and continue to influence future developments.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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