This inventor holds 1 USPTO granted patent. Top assignee: Northwestern University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Ru Yang: Pioneering Image Correlation Technology
Introduction: Ru Yang is an accomplished inventor based in Evanston, IL. He has made significant contributions to the field of image correlation technology, particularly in the measurement of displacement and strain. His innovative approach combines advanced computational techniques with practical applications in material science.
Latest Patents: Ru Yang holds a patent for a system titled "Image correlation for end-to-end displacement and strain measurement." This patent describes a sophisticated system that correlates image data to measure displacement and deformation in samples. The system utilizes a memory to store a sequence of images and employs processors to analyze these images. By cropping pairs of images to focus on regions of interest, the system calculates displacement and strain fields using convolutional neural networks. This technology allows for precise determination of the amount of displacement or deformation in the sample.
Career Highlights: Ru Yang is affiliated with Northwestern University, where he continues to advance his research and development in image correlation technologies. His work has garnered attention for its innovative applications and potential impact on various fields, including engineering and materials science.
Collaborations: Ru Yang collaborates with Ping Guo, who is also involved in research related to image correlation and its applications. Their partnership enhances the research output and fosters innovation in their respective fields.
Conclusion: Ru Yang's contributions to image correlation technology exemplify the intersection of innovation and practical application. His patent and ongoing research at Northwestern University highlight the importance of advancements in measurement techniques for understanding material behavior.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
