Richmond, CA, United States of America

Yi Wang

This inventor holds 2 USPTO granted patents and 5 published patent applications. Top assignee: Autodesk, Inc.. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yi Wang. Retrieved from https://idiyas.com/inventor/yi-wang-qt7fglg5

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

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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2 patents (USPTO):Explore Patents

Title: Yi Wang: Innovator in Structural Design through Reinforcement Learning

Introduction: Yi Wang is a prominent inventor based in Richmond, CA, who has made significant contributions to the field of structural design. His innovative approach utilizes machine learning techniques to enhance the placement of columns in building floorplans. With a focus on structural stability, Yi's work is paving the way for more efficient architectural designs.

Latest Patents: Yi Wang holds a patent titled "Customizable reinforcement learning of column placement in structural design." This invention outlines a technique for applying placement rules to a building's floorplan, generating candidate column locations. By employing a reinforcement learning agent, Yi's method selects optimal column placements based on structural stability, ultimately outputting a refined floorplan for construction.

Career Highlights: Yi Wang is currently employed at Autodesk, Inc., a leading company in design software and technology. His role involves leveraging advanced technologies to improve architectural and engineering practices. With a focus on innovation, Yi has contributed to the development of tools that enhance the design process for professionals in the industry.

Collaborations: Yi Wang collaborates with talented individuals in his field, including his coworker Mehdi Nourbakhsh. Together, they work on projects that push the boundaries of structural design and machine learning applications.

Conclusion: Yi Wang's innovative work in customizable reinforcement learning for structural design exemplifies the intersection of technology and architecture. His contributions are shaping the future of building design, making it more efficient and structurally sound.

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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