Christiansburg, VA, United States of America

Andrew Beams

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Andrew Beams in Anomaly Detection

Introduction

Andrew Beams is an accomplished inventor based in Christiansburg, VA (US). He has made significant contributions to the field of anomaly detection, particularly through his innovative patent that utilizes federated learning techniques. His work is crucial in enhancing the security and efficiency of financial transactions.

Latest Patents

Andrew Beams holds a patent titled "Secure anomaly detection using federated learning." This patent describes methods and systems for performing federated private anomaly detection. The technology involves collaboration between an anomaly detector computer, an aggregator computer, and an account management computer to train machine learning models. These models are designed to classify events as either fraudulent or not fraudulent. The anomaly detector computer can utilize private information, such as account flags and values, without becoming aware of them, ensuring privacy while effectively identifying fraudulent activities. This system is particularly beneficial for detecting and preventing financial crimes.

Career Highlights

Andrew Beams is currently employed at Visa International Service Association, where he applies his expertise in machine learning and anomaly detection. His work at Visa plays a vital role in safeguarding financial transactions and enhancing the overall security of the organization.

Collaborations

Andrew collaborates with Panagiotis Chatzigiannis, contributing to the development of innovative solutions in the field of anomaly detection. Their combined efforts aim to advance the technology and improve its application in real-world scenarios.

Conclusion

Andrew Beams is a notable inventor whose work in secure anomaly detection has the potential to revolutionize the way financial institutions combat fraud. His innovative approach using federated learning exemplifies the importance of privacy and security in technology.

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