Company Filing History:
Years Active: 2025
Title: Kihwan Han: Innovator in Network Traffic Categorization
Introduction
Kihwan Han is a notable inventor based in Pleasanton, CA (US). He has made significant contributions to the field of network traffic analysis through his innovative use of machine learning technologies. His work focuses on enhancing the efficiency and accuracy of network traffic categorization.
Latest Patents
Kihwan Han holds 1 patent for his invention titled "Utilizing machine learning models for network traffic categorization." This patent describes a device that receives network traffic data, including packet sizes, and transforms this data into a more usable format. The device processes the transformed data using a machine learning model to generate an embedding and obtain a similarity metric. It then creates a graph with nodes and edges based on the embedding and similarity metric, which is further processed with a community detection model to identify network traffic categories. The device can perform various actions based on these identified categories.
Career Highlights
Kihwan Han is currently employed at Juniper Networks, Inc., where he applies his expertise in machine learning and network analysis. His work at Juniper Networks has positioned him as a key player in the development of advanced networking solutions.
Collaborations
Kihwan has collaborated with several talented individuals in his field, including Ajit Krishna Patankar and Kaushik Adesh Agrawal. These collaborations have contributed to the advancement of innovative technologies in network traffic management.
Conclusion
Kihwan Han's contributions to network traffic categorization through machine learning exemplify the impact of innovation in technology. His work continues to influence the way network data is analyzed and categorized, paving the way for more efficient networking solutions.