Pegah Kamousi

Title: Pegah Kamousi: Innovator in Anomaly Detection Systems

Introduction

Pegah Kamousi is a notable inventor based in Montréal, Canada. She has made significant contributions to the field of anomaly detection, particularly in telecommunication systems. Her innovative approach combines machine learning with user data analysis to enhance fraud detection capabilities.

Latest Patents

Pegah Kamousi holds a patent for "Systems and methods for anomaly or fraud detection." This patent describes a system for anomaly estimation for a telephonic call. The system receives a call object that includes an identifier field associating the call object to a purported user. It retrieves a user data object associated with the purported user and processes this data to extract one or more vectorized user features. A neural network then processes these vectorized call features and user features through a machine learning model, providing a robust solution for detecting anomalies.

Career Highlights

Pegah is currently employed at Element AI Inc., where she continues to develop innovative solutions in artificial intelligence and machine learning. Her work focuses on enhancing the security and reliability of telecommunication systems through advanced anomaly detection techniques.

Collaborations

Pegah collaborates with talented individuals such as Marie-Claude Côté and Fanny Lalonde Lévesque, contributing to a dynamic and innovative work environment.

Conclusion

Pegah Kamousi's contributions to the field of anomaly detection exemplify the intersection of technology and innovation. Her work not only advances the capabilities of telecommunication systems but also sets a precedent for future developments in fraud detection.