This inventor holds 1 USPTO granted patent. Top assignee: Beihang University. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations by Shaofei Wang in Particle Image Velocimetry
Introduction
Shaofei Wang is a notable inventor based in Zhejiang, China. He has made significant contributions to the field of laser velocity measurement and image restoration. His work focuses on addressing challenges in particle image velocimetry (PIV), particularly in high-speed environments.
Latest Patents
Shaofei Wang holds a patent for a "Device and method for calibrating particle image velocimetry (PIV) image based on laser linear arrays." This innovative patent provides a solution for calibrating PIV images, effectively addressing the issue of image distortion caused by shock waves in hypersonic wind tunnels. The device includes a laser emission component that emits equidistant laser linear arrays, an optical component for light splitting, a camera for acquiring distorted images, and a background processor that utilizes a neural network-based algorithm for image restoration. He has 1 patent to his name.
Career Highlights
Shaofei Wang is affiliated with Beihang University, where he continues to advance research in his field. His work has garnered attention for its practical applications in improving the accuracy of velocity measurements in complex environments.
Collaborations
He collaborates with esteemed colleagues, including Chong Pan and Jinjun Wang, who contribute to his research endeavors and innovations.
Conclusion
Shaofei Wang's contributions to the field of particle image velocimetry exemplify the importance of innovation in scientific research. His patented methods and devices are paving the way for advancements in laser velocity measurement technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
