Bothell, WA, United States of America

Ananth Geethanath

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Ananth Geethanath: Innovator in Anomalous Pattern Detection

Introduction

Ananth Geethanath is a notable inventor based in Bothell, WA (US). He has made significant contributions to the field of computer networks through his innovative patent. His work focuses on enhancing the detection of anomalies in data streams, which is crucial for maintaining the integrity and security of computing systems.

Latest Patents

Ananth Geethanath holds a patent titled "Anomalous pattern detection for control of computer networks." This patent describes a system and method for detecting anomalies in a data stream. The system receives a data stream that comprises values of metrics derived from observations of the operation of a computing entity over a time window. A model is formed that comprises variances of the data over the time window, identifying operating thresholds for each metric based on these variances. The system computes a steady state distance matrix of the data stream and determines if it exceeds a steady state threshold. Upon exceeding this threshold, the system computes a pattern distance matrix based on the steady state distance matrix, allowing for the detection of anomalies in the data stream. An alert is generated to indicate any detected anomalies.

Career Highlights

Ananth Geethanath is currently employed at Microsoft Technology Licensing, LLC, where he applies his expertise in technology and innovation. His work at Microsoft has allowed him to contribute to advancements in computer network security and anomaly detection.

Collaborations

Ananth has collaborated with notable colleagues such as Ali Alam and Shankaranand Arunachalam. These collaborations have further enriched his work and contributed to the development of innovative solutions in the field.

Conclusion

Ananth Geethanath is a distinguished inventor whose work in anomalous pattern detection has the potential to significantly enhance computer network security. His contributions reflect a commitment to innovation and excellence in technology.

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