Boeblingen, Germany

Bernd Kammholz

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Bernd Kammholz: Innovator in Data Transmission Technologies

Introduction

Bernd Kammholz is a notable inventor based in Böblingen, Germany. He has made significant contributions to the field of data transmission, particularly in the context of vehicle technology. His innovative approach has led to the development of a unique patent that addresses the complexities of custom data transmissions.

Latest Patents

Kammholz holds a patent titled "Rewards for Custom Data Transmissions." This patent describes a system that includes a computing device designed to transmit data from a vehicle equipped with multiple hardware computing resources to a decentralized entity. The system allows the computing device to receive a custom data selection from the vehicle in response to a conditional request for a specific data set by the decentralized entity. It applies a hash function to the custom data selection, transmits it to the decentralized entity, verifies that the selection meets the conditional request, and subsequently transmits a reward to the vehicle if the request is fulfilled.

Career Highlights

Bernd Kammholz is currently employed at Hewlett Packard Enterprise Development LP, where he continues to innovate and develop new technologies. His work focuses on enhancing data transmission methods, which are crucial for modern vehicle systems.

Collaborations

Kammholz collaborates with talented professionals in his field, including Christian Reichenbach and Ralph Beckmann. Their combined expertise contributes to the advancement of technology at Hewlett Packard Enterprise.

Conclusion

In summary, Bernd Kammholz is a distinguished inventor whose work in data transmission technologies is paving the way for future innovations in vehicle communication systems. His patent reflects a forward-thinking approach to solving complex data challenges.

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