This inventor holds 1 USPTO granted patent. Top assignee: The Bank of New York Mellon Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Venkat Kambhampati: Innovator in Anomaly Detection
Introduction
Venkat Kambhampati is a notable inventor based in New York, NY (US). He has made significant contributions to the field of anomaly detection, particularly in time series data analysis. His innovative work has led to the development of a patented system that enhances the ability to identify anomalies in real-time.
Latest Patents
Kambhampati holds a patent for "Systems and methods for anomaly detection in time series data using dynamic pairing." This patent describes systems, methods, and computer-readable storage media that facilitate anomaly data detection. The disclosed embodiments focus on identifying asset pairs based on relationship information extracted from time series data. A real-time data stream is monitored in view of this relationship information, allowing for the detection of anomalies in asset pairs based on their behaviors relative to each other. The detection of an anomaly can trigger the generation of a control signal, which may initiate an investigation into the anomaly and other actions to mitigate its impact.
Career Highlights
Venkat Kambhampati is currently employed at The Bank of New York Mellon Corporation, where he applies his expertise in data analysis and anomaly detection. His work at the bank involves leveraging his patented technology to enhance financial data monitoring and risk management.
Collaborations
Kambhampati collaborates with various professionals in his field, including his coworker Abhishek Singh. Their combined efforts contribute to advancing the technology and methodologies used in anomaly detection.
Conclusion
Venkat Kambhampati is a distinguished inventor whose work in anomaly detection has significant implications for data analysis in financial institutions. His patented systems and methods represent a valuable advancement in the field, showcasing his innovative spirit and dedication to improving data monitoring processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
