Maharashtra, India

Aditya Krishnanand Chaubey

This inventor holds 3 USPTO granted patents and 8 published patent applications. Top assignee: Bank of America Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aditya Krishnanand Chaubey. Retrieved from https://idiyas.com/inventor/aditya-krishnanand-chaubey

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

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 66.7

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
3 patents (USPTO):Explore Patents

Title: Aditya Krishnanand Chaubey: Patents in Real-Time Anomaly Detection

Introduction

Aditya Krishnanand Chaubey is an inventor based in Maharashtra, India, whose work focuses on using data analysis and machine learning to detect anomalies in infrastructure and time-series data. He is associated with Bank of America Corporation and is named on 3 patents.

Latest Patents

Chaubey’s recent patent work addresses anomaly detection through real-time data processing and predictive modeling.

“Real-time anomaly prediction using extrapolated telemetry data” describes a system that collects infrastructure metrics and logs them in near real time. The data is analyzed, cleaned, and enhanced through feature engineering. Weighted means and first- and second-order differences help extrapolate values that reflect current conditions. After validation, the data is used to train and test a machine learning model for real-time anomaly detection, supporting timely incident response.

“Composite model analysis of time series data having irregular trends for anomaly detection” presents a hierarchical approach to identifying abnormalities in time-series data. The method collects and cleans data, engineers features, and analyzes trends that may vary around holidays and weekends. It builds predictive models of increasing order to capture general trends and refine residuals. New data is compared with trend clusters, while statistical tests and machine learning classifiers help identify anomalies and generate alerts or remedial measures.

Career Highlights

Chaubey’s listed inventions apply data engineering, statistical analysis, and machine learning to operational monitoring. Together, they describe approaches for detecting unusual behavior in infrastructure telemetry and time-series datasets, with an emphasis on timely analysis and actionable responses.

Collaborations

His listed coworkers include Carl M. Benda and Duy Minh Pham. His work is associated with Bank of America Corporation.

Conclusion

Aditya Krishnanand Chaubey’s two patents focus on improving anomaly detection through real-time telemetry analysis and hierarchical modeling of irregular time-series trends.

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]
Loading…