Sunnyvale, CA, United States of America

Srikanth Venkata Tenneti

This inventor holds 5 USPTO granted patents and 1 published patent application. Top assignee: Amazon Technologies, Inc.. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Srikanth Venkata Tenneti. Retrieved from https://idiyas.com/inventor/srikanth-venkata-tenneti

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

USPTO Granted Patents = 5 

% Patents Active = 100.0

Average Co-Inventor Count = 7.1

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2024-2026

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5 patents (USPTO):Explore Patents

Title: Innovations by Srikanth Venkata Tenneti

Introduction

Srikanth Venkata Tenneti is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of technology, particularly in the areas of prognostics and health management. With a total of 5 patents to his name, Tenneti continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Prognostics and health management service." This patent describes systems, methods, and apparatuses for selecting a model. The method includes receiving a request to perform model selection and evaluating multiple models by generating various metrics for each trained model. These metrics include a forewarning time, an event recall metric, an event precision metric, and an area under a receiver operating characteristic (ROC) curve. For each trained model, a weighted harmonic mean is calculated from these metrics. A model is then selected based on the calculated means, and a report on the selected model is generated and provided.

Another notable patent is the "Group masked autoencoder for anomaly detection." This patent outlines a group masked autoencoder that may be implemented for anomaly detection. An autoencoder network model may be trained without supervision and applied to output an estimated joint probability distribution of normality for a group of frames of time series data. The estimated joint probability distribution may be used to determine an anomaly score for the time series data. An anomaly may be detected according to the anomaly score, and a result that indicates a detected anomaly may be provided.

Career Highlights

Tenneti is currently employed at Amazon Technologies, Inc., where he continues to innovate and develop new technologies. His work has had a significant impact on the field, particularly in enhancing predictive analytics and anomaly detection.

Collaborations

Throughout his career, Tenneti has collaborated with talented individuals such as Karim Helwani and Mehmet Umut Isik. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Srikanth Venkata Tenneti is a notable inventor whose work in prognostics and health management has led to significant advancements in technology. His contributions continue to shape the future of predictive analytics and anomaly detection.

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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