Chen Yang

Title: Chen Yang - Innovator in Point Cloud Classification and Ultrasonic Imaging

Introduction

Chen Yang is a prominent inventor based in Nanjing, China. He has made significant contributions to the fields of point cloud classification and ultrasonic non-destructive testing. With a total of 2 patents, his work showcases innovative methods that enhance accuracy and efficiency in these technical areas.

Latest Patents

Chen Yang's latest patents include a multiscale point cloud classification method and system. This method involves acquiring 3D unordered point cloud data and performing feature extraction and classification using a pre-trained parallel classification network. The network consists of multiple basic networks with identical structures, which improves the accuracy and robustness of point cloud classification.

Another notable patent is the method for ultrasonic guided wave quantitative imaging in the form of a variable array. This method converts a non-linear Lippmann-Schwinger equation into a linear summation form using a method of moments. It allows for the selection of acquisition arrays with varying numbers of probes to measure scattered field signals. By modifying Green's functions through variable Born approximation, the method achieves quantitative evaluation in non-destructive testing applications.

Career Highlights

Chen Yang has worked at esteemed institutions such as Nanjing University of Posts and Telecommunications and Nanjing University of Aeronautics and Astronautics. His experience in these organizations has contributed to his expertise in the fields of telecommunications and aeronautics.

Collaborations

Some of Chen Yang's notable coworkers include Dengyin Zhang and Rui Gong. Their collaborative efforts have likely played a role in advancing the innovative projects they have worked on together.

Conclusion

Chen Yang's contributions to point cloud classification and ultrasonic imaging demonstrate his commitment to innovation and excellence in technology. His patents reflect a deep understanding of complex technical challenges and a drive to develop effective solutions.