Chapel Hill, NC, United States of America

Yong Wang


Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Princeton, NJ (US) (2011)
  • Chapel Hill, NC (US) (2020)

Company Filing History:


Years Active: 2011-2020

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2 patents (USPTO):Explore Patents

Title: Yong Wang: Innovator in Connector Technology and Delay-Tolerant Networking

Introduction

Yong Wang is a notable inventor based in Chapel Hill, NC, who has made significant contributions to the fields of connector technology and delay-tolerant networking. With a total of two patents to his name, Wang's work is recognized for its innovative approaches to enhancing computer processing capabilities.

Latest Patents

Wang's latest patents include a "Connector for Processor Package" and an "Interface for a Delay-Tolerant Network." The connector patent describes an assembly designed for coupling to a computer processing unit (CPU) package. This assembly features a connector housing with electrical contacts that engage with a CPU package when connected to a mating assembly. Additionally, it includes a mounting handle with a locking latch that secures the connection, ensuring reliable performance. The delay-tolerant networking patent outlines a method for transmitting files between nodes in different networks, utilizing a file-system interface to facilitate communication even in the presence of delays.

Career Highlights

Yong Wang is currently employed at Intel Corporation, where he applies his expertise in developing advanced technologies. His work at Intel has positioned him as a key player in the innovation of computer hardware and networking solutions.

Collaborations

Wang has collaborated with notable colleagues, including Mark D. Yarvis and Rahul C. Shah, contributing to a dynamic environment of innovation and technological advancement.

Conclusion

Yong Wang's contributions to connector technology and delay-tolerant networking exemplify his commitment to innovation in the tech industry. His patents reflect a deep understanding of the challenges in computer processing and networking, paving the way for future advancements.

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