Beijing, China

Yechen Qin

USPTO Granted Patents = 3 

Average Co-Inventor Count = 6.1

ph-index = 1


Location History:

  • Beijing, CN (2023 - 2024)
  • Haidian District, CN (2024)

Company Filing History:


Years Active: 2023-2024

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3 patents (USPTO):Explore Patents

Title: **Yechen Qin: Innovating Vehicle State Estimation and Tire Wear Assessment**

Introduction

Yechen Qin, an accomplished inventor based in Beijing, China, has made significant contributions to the fields of vehicle technology and machine learning. With a total of three patents to his name, Qin's innovative approach focuses on enhancing vehicle state estimation and tire wear analysis, showcasing his expertise in integrating advanced technologies.

Latest Patents

Yechen Qin's latest patents include a cutting-edge **Universal Machine Learning Based System for Estimating a Vehicle State**. This system employs one or more controllers to process a variety of dynamic variables and corresponding historical data. It utilizes a sensitivity analysis algorithm to gauge the sensitivity level of each dynamic variable, ultimately selecting the most relevant variables for a comprehensive vehicle state estimation through machine learning techniques.

Another notable patent is the **Systems and Methods for Estimating Tire Wear**. This innovative method involves capturing direct tire tread wear measurements and complementing them with indirect estimations. It employs data fusion to enhance the accuracy of tire life assessments, estimating both the percentage of tire life remaining and the mileage to the tire's end of life, alongside refining tire tread calibration coefficients for future estimations.

Career Highlights

Throughout his career, Yechen Qin has held key positions at prominent organizations, including GM Global Technology Operations LLC and the Beijing Institute of Technology. His work in these institutions has furthered the development of technologies aimed at improving vehicle performance and safety.

Collaborations

Qin has collaborated with notable industry professionals such as Ehsan Hashemi and Amir Khajepour, driving forward innovative projects and contributing to advancements in vehicle technology.

Conclusion

With a strong focus on leveraging machine learning in automotive applications, Yechen Qin is at the forefront of innovation. His patents not only reflect his technical expertise but also enhance the future of vehicle safety and performance. As he continues to explore new frontiers in this domain, Qin remains a significant figure in the evolution of automotive technology.

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