Shiran Abadi

Title: Shiran Abadi: Innovator in Machine Learning for Transaction Security

Introduction

Shiran Abadi is a notable inventor based in Tel-Aviv, Israel. He has made significant contributions to the field of machine learning, particularly in enhancing transaction security. His innovative approach focuses on distinguishing between risky and legitimate actions in financial transactions.

Latest Patents

Shiran Abadi holds a patent for a groundbreaking invention titled "Supervised machine learning for distinguishing between risky and legitimate actions in transactions." This patent addresses the identification of risky actions versus non-risky actions in transactions. It involves updating a fraud score associated with the probabilities of these actions to determine the likelihood of fraud. The machine-learning model he developed predicts risky actions based on transaction features and compares predicted action labels with actual actions taken. This process calculates the probabilities of risky actions and outputs a corresponding risk or fraud score. Higher probabilities correlate with lower risk scores, and vice versa.

Career Highlights

Shiran Abadi is currently employed at Ncr Voyix Corporation, where he applies his expertise in machine learning to develop innovative solutions for transaction security. His work is instrumental in advancing the capabilities of fraud detection systems.

Collaborations

Shiran collaborates with Tamar Miriam Haizler, who is also a key contributor in their field. Together, they work on projects that enhance the security and reliability of financial transactions.

Conclusion

Shiran Abadi's contributions to machine learning and transaction security are noteworthy. His innovative patent and collaboration with talented professionals like Tamar Miriam Haizler position him as a significant figure in the field.