This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Jason Paul Chang: Innovator in Deep Learning for Online User Activity Detection
Introduction
Jason Paul Chang is an accomplished inventor based in San Mateo, CA. He has made significant contributions to the field of deep learning, particularly in detecting abusive user activity in online networks. His innovative approach leverages advanced algorithms to enhance user safety in digital environments.
Latest Patents
Chang holds a patent for a groundbreaking invention titled "Deep learning using activity graph to detect abusive user activity in online networks." This patent introduces a deep learning algorithm that operates on a transition matrix formed from user activities. The transition matrix records the frequencies of transitions between various paths of user activity, allowing for a comprehensive analysis of user behavior.
Career Highlights
Currently, Jason Paul Chang is employed at Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative ideas. His work focuses on enhancing the security and integrity of online networks through advanced technological solutions.
Collaborations
Chang collaborates with talented individuals such as Yi Wu and Mariem Boujelbene, contributing to a dynamic and innovative work environment.
Conclusion
Jason Paul Chang's contributions to deep learning and user activity detection represent a significant advancement in online safety technology. His innovative patent and ongoing work at Microsoft Technology Licensing, LLC, highlight his commitment to improving digital user experiences.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile