Taoyuan, Taiwan

Cheng-Hsun Li

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2019-2020

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2 patents (USPTO):Explore Patents

Title: Innovations of Cheng-Hsun Li

Introduction

Cheng-Hsun Li is a notable inventor based in Taoyuan, Taiwan. He has made significant contributions to the field of network technology, particularly in the configuration of network systems. With a total of 2 patents, his work has advanced the efficiency and functionality of network switches.

Latest Patents

Cheng-Hsun Li's latest patents include "Methods for automatically configuring multiple chassis link aggregation group (MC-LAG)" and "Method and system for automatically configuring fanout mode of a network switch port in an interconnected network." The first patent provides a system and method for automatically configuring multiple chassis links in a multi-chassis system using a management controller. This management controller can request and receive switch port data from various server systems and switches, allowing it to determine peer link ports and configure them accordingly. The second patent discloses a system and method to automatically configure the fanout modes of ports of a switch in a network system. It involves discovering the network node coupled to the port and determining the appropriate fanout mode for optimal performance.

Career Highlights

Cheng-Hsun Li is currently employed at Quanta Computer Incorporated, a leading company in the technology sector. His work at Quanta has allowed him to focus on innovative solutions that enhance network performance and reliability.

Collaborations

Cheng-Hsun Li collaborates with Ching-Chih Shih, contributing to advancements in network technology through their combined expertise.

Conclusion

Cheng-Hsun Li's contributions to network technology through his patents and work at Quanta Computer Incorporated highlight his role as an influential inventor in the field. His innovative approaches continue to shape the future of network systems.

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