Munich, Germany

Michael Gaertner

This inventor holds 2 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Gaertner. Retrieved from https://idiyas.com/inventor/michael-gaertner-t02fqrqm

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


Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2018

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2 patents (USPTO):Explore Patents

Title: Michael Gaertner: Innovator in Power Estimation Technologies

Introduction

Michael Gaertner is a notable inventor based in Munich, Germany. He has made significant contributions to the field of computing, particularly in the area of power estimation. With a total of 2 patents, Gaertner's work focuses on enhancing the efficiency of power consumption in computing environments.

Latest Patents

One of Gaertner's latest patents involves estimating power usage in a computing environment. This innovation allows for the automatic detection of hardware configuration information through a software agent. The information is then translated into power consumption data, enabling the implementation of various power estimation models aimed at optimizing power consumption and utilization.

Career Highlights

Michael Gaertner is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM has allowed him to work on cutting-edge technologies that address the growing need for efficient power management in computing systems.

Collaborations

Throughout his career, Gaertner has collaborated with talented individuals such as Josephine F Bayang and Valerio Bellizia. These collaborations have contributed to the advancement of his innovative projects and patents.

Conclusion

Michael Gaertner stands out as an influential inventor in the realm of power estimation technologies. His contributions continue to shape the future of efficient computing.

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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