San Francisco, CA, United States of America

Yung Chang Ko

USPTO Granted Patents = 5 

Average Co-Inventor Count = 2.3

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2022-2023

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5 patents (USPTO):Explore Patents

Title: Yung Chang Ko: Innovator in Autonomous Vehicle Technology

Introduction

Yung Chang Ko is a prominent inventor based in San Francisco, CA, known for his contributions to the field of autonomous vehicle technology. With a total of five patents to his name, he has made significant advancements that enhance the functionality and efficiency of autonomous vehicles.

Latest Patents

One of his latest patents is for an autonomous vehicle computing device with a barrier layer. This innovative device includes a printed circuit board, a heat sink, and a thermal interface material layer that improves the device's performance. The barrier layer allows for the separation of the printed circuit board from the thermal interface material layer, facilitating reworking or modification without damaging the board. Another notable patent involves embedded and immersed heat pipes in automated driving system computers. This technology features cold plates with fluid channels that circulate a working fluid, effectively managing heat generated by processors within the system.

Career Highlights

Yung Chang Ko is currently employed at GM Cruise Holdings LLC, where he continues to develop cutting-edge technologies for autonomous vehicles. His work focuses on improving the thermal management and overall efficiency of automated driving systems.

Collaborations

Throughout his career, Yung has collaborated with talented professionals such as Zoran Stefanoski and Reza Azizian, contributing to the advancement of innovative technologies in the automotive sector.

Conclusion

Yung Chang Ko's contributions to autonomous vehicle technology through his patents and work at GM Cruise Holdings LLC highlight his role as a key innovator in the industry. His advancements are paving the way for safer and more efficient autonomous driving systems.

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