Randhir Sinha

Title: Randhir Sinha and His Patent on Network Anomaly Detection.

Introduction

Randhir Sinha is an inventor associated with Bengaluru, India, and Intuit, Inc. His patent work addresses the detection of hidden anomalies in network data.

Latest Patents

Sinha is associated with 1 patent: “Detection of Hidden Anomalies in Network Data.” The invention describes a method for identifying hidden anomalies in a stream of time-series data. It divides the stream into sub-streams, each associated with a parameter, and applies policies to generate values for each sub-stream in a current time window. The method compares those values with values from a past time window. When the difference for a sub-stream meets a specified threshold, the system returns an alert indicating a possible anomaly related to that sub-stream’s parameter.

Career Highlights

Sinha’s listed patent reflects work on analyzing time-series data and detecting unusual patterns through comparisons across time windows. He is associated with Intuit, Inc.

Collaborations

Mayank Kumar Gupta is identified as Sinha’s coworker. The available information does not specify whether Gupta collaborated on the patent.

Conclusion

Randhir Sinha’s patent presents a threshold-based approach to identifying hidden anomalies in network data by comparing current and past time-series values.