This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Michael Dean Wong: Inventor in Network Anomaly Detection
Introduction
Michael Dean Wong is an inventor based in Princeton, New Jersey. His patent work addresses the use of machine learning to identify unusual patterns in application network behavior.
Latest Patents
Wong is associated with 1 patent, titled “Detecting Network Anomalies Using Network Flow Data.” The invention describes obtaining network flow data for an application and processing it with a machine learning model to detect anomalies. The model can be retrained over time to adapt to changes in the application’s network behavior, and some implementations use a graph neural network.
Career Highlights
Wong is associated with Microsoft Technology Licensing, LLC. His patent reflects an approach to automating network anomaly detection and adapting detection models as application behavior evolves.
Collaborations
Wong’s listed coworker is Santiago Martin Segarra. Their shared professional context connects them to work involving network data and machine learning.
Conclusion
Michael Dean Wong’s patent focuses on adaptive, machine-learning-based detection of anomalies in application network behavior.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile