San Diego, CA, United States of America

Oliver Michaelis

USPTO Granted Patents = 37 

 

Average Co-Inventor Count = 2.6

ph-index = 10

Forward Citations = 363(Granted Patents)


Company Filing History:


Years Active: 2006-2025

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37 patents (USPTO):Explore Patents

Title: The Innovative Mind of Oliver Michaelis

Introduction

Oliver Michaelis, based in San Diego, CA, has made significant contributions to the field of technology with an impressive portfolio of 36 patents. His innovations, particularly in distributed machine learning and network systems, reflect a deep understanding of both data integrity and machine learning methodologies.

Latest Patents

One of Oliver's latest patents is a "Distributed machine learning architecture with hybrid data normalization, proof of lineage and data integrity." This invention is a system, apparatus, and method for processing observational data to train neural network models. It details how data is separated into raw data and metadata, with specific mechanisms for verifying data integrity through digital fingerprints and maintaining a lineage through various iterations of the neural network.

Another notable patent is the "Distributed ledger-based ad-hoc system, apparatus and method using fingerprint verification." This system processes routing information in ad-hoc networks, ensuring performance and content integrity through blockchain technology. The methodology allows for effective routing paths based on performance metrics validated via distributed ledger techniques, enhancing the reliability of data transmission.

Career Highlights

Throughout his career, Oliver has worked with esteemed companies such as Qualcomm Incorporated and Clipcast Technologies LLC. His work in these organizations has facilitated advancements in telecommunications and network efficiencies, showcasing his ability to innovate across various technological landscapes.

Collaborations

Oliver has collaborated with talented professionals including Manuel Eduardo Jaime and John Wendell Ketchum. Their collective expertise has undoubtedly contributed to the development of groundbreaking technologies and patents throughout their shared experiences.

Conclusion

Oliver Michaelis stands out as a prolific inventor whose work not only exhibits creativity but also addresses critical challenges in technology today. His continuous advancements in machine learning and network systems underline his commitment to innovation and the integrity of data systems. His contributions are paving the way for future breakthroughs in various industries.

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