Mainz, Germany

Christoph Roth

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Christoph Roth. Retrieved from https://idiyas.com/inventor/christoph-roth-dz1ltdz4

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Christoph Roth: Innovator in Data Classification and Filtering

Introduction

Christoph Roth is a notable inventor based in Mainz, Germany. He has made significant contributions to the field of data processing and classification. His innovative work has led to the development of a patent that addresses the challenges of managing data streams effectively.

Latest Patents

Christoph Roth holds a patent for a method of classifying and filtering data from a data stream. This patent involves several operations, including receiving data from an incoming data stream, separating the data into chunks, and storing these chunks in various matrix buffers. The data chunks are processed by multiple processing units, which are linked to the matrix buffers via an I/O block. The processed data is then provided as inputs to a neural network component, which classifies and filters the data based on its classification.

Career Highlights

Christoph Roth is associated with International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore advanced technologies and contribute to innovative solutions in data management.

Collaborations

Some of Christoph Roth's coworkers include Thorsten Muehge and Frank Krick. Their collaboration has likely fostered an environment of innovation and creativity within their projects.

Conclusion

Christoph Roth's contributions to data classification and filtering demonstrate his expertise and commitment to advancing technology. His patent reflects a significant step forward in managing data streams effectively.

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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