Peng Wu

Title: Innovations of Peng Wu in Fraud Prevention Technology

Introduction

Peng Wu is an accomplished inventor based in Austin, TX, known for his significant contributions to the field of fraud prevention technology. With a total of 5 patents to his name, he has developed innovative methods that leverage advanced machine learning techniques to enhance security in financial transactions.

Latest Patents

One of Peng Wu's latest patents is titled "Method, system, and computer program product for fraud prevention using deep learning and survival models." This invention provides a comprehensive method for detecting attempted fraud by analyzing transaction data associated with payment accounts. The system generates a fraud risk score for various subperiods following an attempted attack, utilizing deep learning and survival models to assess the probability of fraudulent transactions. Another notable patent is "Generating input data for a machine learning model," which outlines a computer-implemented method for processing input data arrays through neural networks to improve the accuracy of machine learning models.

Career Highlights

Peng Wu is currently employed at Visa International Service Association, where he applies his expertise in machine learning and data analysis to develop cutting-edge solutions for fraud prevention. His work is instrumental in enhancing the security measures that protect consumers and financial institutions from fraudulent activities.

Collaborations

Throughout his career, Peng has collaborated with talented professionals in the field, including Yiwei Cai and Pei Yang. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Peng Wu's contributions to fraud prevention technology exemplify the impact of innovative thinking in the financial sector. His patents reflect a commitment to enhancing security through advanced methodologies, making significant strides in the fight against fraud.