Cupertino, CA, United States of America

Min Se Kim

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.2

ph-index = 1


Company Filing History:


Years Active: 2024

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2 patents (USPTO):Explore Patents

Title: Min Se Kim - Innovator in Wi-Fi Signal Propagation Technology

Introduction

Min Se Kim is a notable inventor based in Cupertino, California. He has made significant contributions to the field of Wi-Fi signal propagation technology, holding two patents that enhance the visualization and understanding of Wi-Fi signals in three-dimensional spaces.

Latest Patents

His latest patents include "Three-dimensional visualization of Wi-Fi signal propagation based on building plan with implicit geometry" and "Three-dimensional visualization of Wi-Fi signal propagation." The first patent focuses on visualizing Wi-Fi signal propagation in 3-D based on a building plan defined with implicit geometry. This technology extracts data from a building plan file, transforms implicit geometry to explicit geometry, and calculates an RF propagation pattern for multiple Wi-Fi access points. The result is a comprehensive 3-D visualization of the RF propagation pattern. The second patent also aims to visualize Wi-Fi signal propagation in 3-D at various heights and locations. It calculates an RF propagation pattern for a Wi-Fi access point and overlays this pattern on a visualization of the building plan, providing a detailed 3-D representation of the RF propagation.

Career Highlights

Min Se Kim is currently employed at Cisco Technology, Inc., where he continues to innovate in the field of wireless communication. His work is instrumental in improving the efficiency and effectiveness of Wi-Fi networks.

Collaborations

He collaborates with talented coworkers such as Samer M Salam and Salvatore Valenza, contributing to a dynamic and innovative work environment.

Conclusion

Min Se Kim's contributions to Wi-Fi signal propagation technology demonstrate his expertise and commitment to advancing wireless communication. His patents reflect a deep understanding of the complexities involved in visualizing and optimizing Wi-Fi networks.

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