Beijing, China

Na Dong


Average Co-Inventor Count = 2.2

ph-index = 1


Company Filing History:


Years Active: 2019-2025

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Na Dong: Innovator in Time Data Modeling and Web Element Rendering

Introduction

Na Dong is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of data modeling and web development. With a total of three patents to his name, Na Dong continues to push the boundaries of technology through his innovative ideas.

Latest Patents

Na Dong's latest patents include a groundbreaking method for building a time dimension based on a time data model. This computer-implemented method involves defining a time data model and creating an association relationship between the time dimension and a second data model for analyzing data within the time dimension. Additionally, he has developed a computer program product that includes program instructions for executing this method. Another notable patent focuses on rendering a web element in a web page within an integrated development environment. This process involves extracting a reference address from the code of a web page, obtaining the web element based on this address, and rendering it in the web page.

Career Highlights

Na Dong is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to collaborate with cutting-edge technologies and contribute to innovative projects that enhance data analysis and web development.

Collaborations

Na Dong has worked alongside talented colleagues, including Xi Ning Wang and David Louis Kaminsky. Their collaborative efforts have fostered an environment of creativity and innovation, leading to the development of impactful technologies.

Conclusion

Na Dong's contributions to the fields of data modeling and web development exemplify his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of complex systems and a commitment to improving how data is analyzed and presented.

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