Company Filing History:
Years Active: 2022
Title: Innovations of Nicholas John Stang
Introduction
Nicholas John Stang is an accomplished inventor based in Minneapolis, MN (US). He has made significant contributions to the field of fraud detection through his innovative patent. His work focuses on enhancing transaction security in processing systems.
Latest Patents
Nicholas holds a patent titled "Method and system for detecting fraudulent transactions using a fraud detection model trained based on dynamic time segments." This patent outlines techniques for identifying fraudulent transactions within a transaction processing system. The method involves receiving a transaction request and generating an input data set that includes vectors representing both the transaction and historical transactions. The data set is then divided into ragged tensors corresponding to non-overlapping time segments. A reduced input data set is created by generating representative vectors using max pooling over the vectors in each ragged tensor. Finally, a fraudulent transaction score is produced based on this reduced input data set, which is used to process the transaction.
Career Highlights
Nicholas is currently employed at Intuit, Inc., where he applies his expertise in fraud detection. His innovative approach has the potential to significantly improve the security of financial transactions.
Collaborations
Nicholas has collaborated with notable colleagues, including Henry Venturelli and Runhua Zhao, to further advance his research and development in fraud detection technologies.
Conclusion
Nicholas John Stang's contributions to the field of fraud detection exemplify the importance of innovation in enhancing transaction security. His patent reflects a commitment to developing effective solutions for combating fraudulent activities in financial systems.