Houston, TX, United States of America

Weichang Li

This inventor holds 1 USPTO granted patent. Top assignee: Aramco Services Company. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Weichang Li. Retrieved from https://idiyas.com/inventor/weichang-li-r0bwijlr

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Weichang Li: Innovator in Machine Learning Applications

Introduction

Weichang Li is a notable inventor based in Houston, TX (US). He has made significant contributions to the field of machine learning, particularly in the area of image processing. His innovative approach has led to the development of a unique patent that enhances the efficiency of core image acquisition.

Latest Patents

Weichang Li holds a patent titled "System and Method to Accelerate Core Images Acquisition and Processing Using Machine Learning." This patent represents his commitment to advancing technology through innovative solutions. He has 1 patent to his name, showcasing his expertise and dedication to his field.

Career Highlights

Li is currently employed at Aramco Services Company, where he applies his skills in machine learning to various projects. His work at this esteemed organization highlights his role in pushing the boundaries of technology and innovation.

Collaborations

Throughout his career, Weichang Li has collaborated with talented individuals such as Tao Lin and Mokhles M Mezghani. These partnerships have allowed him to expand his knowledge and contribute to groundbreaking projects in the field.

Conclusion

Weichang Li is a prominent figure in the realm of machine learning and image processing. His innovative patent and work at Aramco Services Company reflect his dedication to advancing technology. His contributions are paving the way for future advancements in the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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