This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Feedzai—consultadoria E Inovaçâo Tecnológica, S.a.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Ahmad Naser Eddin: Innovator in Machine Learning for Alert Triaging
Introduction
Ahmad Naser Eddin is a notable inventor based in Oporto, Portugal. He has made significant contributions to the field of machine learning, particularly in the area of alert triaging. His innovative approach aims to enhance the detection of potentially suspicious activities in various transactions.
Latest Patents
Ahmad holds a patent for a process titled "Triaging alerts using machine learning." This patent describes a method that involves receiving data related to transactions and utilizing computer processors to analyze this data. The process automatically identifies potentially suspicious activities by applying specific rules. Each identified activity is scored using a machine learning model, which helps determine the appropriate actions to take regarding these activities. This innovative approach not only improves the efficiency of alert triaging but also enhances the accuracy of identifying suspicious transactions.
Career Highlights
Ahmad Naser Eddin is currently employed at Feedzai, a company specializing in technological consulting and innovation. His work at Feedzai allows him to apply his expertise in machine learning to real-world problems, contributing to the development of advanced solutions for fraud detection and risk management.
Collaborations
Ahmad collaborates with talented professionals in his field, including Jacopo Bono and João Tiago Barriga Negra Ascensão. These collaborations foster a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Ahmad Naser Eddin is a pioneering inventor whose work in machine learning is making a significant impact on the field of alert triaging. His contributions are paving the way for more effective detection of suspicious activities, ultimately enhancing security in various transactions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile