Bethesda, MD, United States of America

Samuel Paul Ruth

This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Samuel Paul Ruth. Retrieved from https://idiyas.com/inventor/samuel-paul-ruth

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Samuel Paul Ruth

Introduction

Samuel Paul Ruth is an accomplished inventor based in Bethesda, MD (US). He has made significant contributions to the field of anomaly detection through his innovative patent. His work focuses on identifying the causes of anomalies in timeseries data, which has important applications in various industries.

Latest Patents

Samuel holds a patent for "Systems and methods of anomaly detection." This patent describes a method for identifying a contributing cause of an anomaly by analyzing a set of timeseries data that represents metric values over time. The method involves generating graphs to represent the metric values and their associations, allowing for the identification of anomalies and their contributing factors.

Career Highlights

Samuel is currently employed at Google Inc., where he applies his expertise in data analysis and anomaly detection. His work at Google has positioned him as a key player in developing advanced systems that enhance data interpretation and decision-making processes.

Collaborations

Samuel has collaborated with notable colleagues, including Farhana Bandukwala and Georg Matthias Goerg. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Samuel Paul Ruth's contributions to anomaly detection through his patent and work at Google Inc. highlight his role as a significant inventor in the field. His innovative methods continue to influence how data anomalies are identified and addressed.

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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