Munich, Germany

Teemu Kaerkkaeinen

This inventor holds 1 USPTO granted patent. Top assignee: Intel Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Teemu Kaerkkaeinen. Retrieved from https://idiyas.com/inventor/teemu-kaerkkaeinen

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Teemu Kaerkkaeinen: Innovator in Computational Task Offloading

Introduction

Teemu Kaerkkaeinen is a notable inventor based in Munich, Germany. He has made significant contributions to the field of computational task offloading, showcasing his innovative spirit and technical expertise. His work is particularly relevant in the context of robotics and data processing.

Latest Patents

Teemu holds a patent for a device that facilitates computational task offloading. This invention includes a plurality of communication nodes, each configured to wirelessly send and receive data. The device features a processor that instructs a computation node to process a data payload received from a robot. It selects one or more second communication nodes based on the predicted location of the robot and instructs these nodes to send the processed data back to the robot.

Career Highlights

Teemu is currently employed at Intel Corporation, where he continues to develop innovative solutions in technology. His work at Intel has allowed him to be at the forefront of advancements in computational technologies.

Collaborations

Teemu collaborates with Francesc Guim Bernat, contributing to the development of cutting-edge technologies in their field.

Conclusion

Teemu Kaerkkaeinen's contributions to computational task offloading highlight his role as an innovator in technology. His patent and work at Intel Corporation demonstrate his commitment to advancing the field of robotics and data processing.

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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