Sudha Vijayakumar

Title: Sudha Vijayakumar: Inventor in Knowledge Graphs and Fraud Detection

Introduction

Sudha Vijayakumar is an inventor based in Campbell, California. Her work includes systems that use knowledge graphs to identify patterns and support fraud detection. She is associated with Jumio Corporation and holds 2 patents.

Latest Patents

Vijayakumar’s patent, “System and Method of Knowledge Graph Based ID Anomaly Detection in Order to Determine if the Anomaly Is Associated with ID Fraud,” describes analyzing image fragments from identification documents. A knowledge graph schema defines the nodes and relationships used to evaluate those fragments. The system can compare its results with a gold standard image and use detected patterns to identify anomalies that may indicate fraud.

Her patent, “Knowledge Graph Generation for Contextual Decision Making,” describes creating knowledge graphs from data associated with transactions. Data fragments are encoded as nodes, connected to represent relationships, and clustered to identify patterns. The resulting contextual information can support decisions, including reversing decisions when patterns suggest fraud.

Career Highlights

Vijayakumar’s patented work focuses on applying knowledge graphs to identity-document analysis and transaction review. These approaches organize data and relationships so that patterns can inform anomaly detection and contextual decision-making.

Collaborations

Vijayakumar is associated with Jumio Corporation. Her listed coworkers include Ashwin Pingali and Arman Mohseni-Kabir.

Conclusion

Sudha Vijayakumar’s inventions apply knowledge graphs to fraud-related analysis, connecting information and identifying patterns to support decisions about identity documents and transactions.