Beijing, China

Guo Dong Wan


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2024

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3 patents (USPTO):

Title: The Innovative Contributions of Guo Dong Wan in Database Technologies

Introduction: Guo Dong Wan, an accomplished inventor based in Beijing, China, has made significant strides in the field of computer technology. With a total of three patents to his name, Wan has been instrumental in enhancing database management systems, particularly through innovative approaches that leverage machine learning and adaptive updating techniques. His work has greatly benefited the technology landscape, particularly in ensuring efficient data handling and disaster recovery.

Latest Patents: Guo Dong Wan's latest patents showcase his commitment to advancing database technology. One of his notable inventions is a system for statistics update in databases, designed to improve query efficiency and optimization. This system incorporates a primary database and a secondary database that remains in synchronization with real-time changes to the primary database, particularly emphasizing disaster recovery features. Additionally, Wan has developed a patent focusing on machine-learning-based adaptive updating of quantitative data in database systems. This innovation includes training machine learning models to optimize data updates based on an urgency index dictated by real-time query metrics, thus enhancing database query processing efficiency.

Career Highlights: Guo Dong Wan is currently associated with International Business Machines Corporation (IBM), a leader in technology and innovation. His role at IBM underscores his dedication to pushing the boundaries of what is possible in database technology. Throughout his career, Wan has consistently focused on creating solutions that not only address existing challenges but also anticipate future demands in data management.

Collaborations: Collaboration is a critical element of innovation, and Guo Dong Wan has effectively worked alongside notable colleagues, including Ling Qin and Fu Fei Xu. Together, they have shared insights and expertise that have further propelled advancements in their respective fields within IBM.

Conclusion: Guo Dong Wan's contributions to database technology reflect a deep understanding of the complexities of data management and the potential of machine learning. His innovative patents mark him as a significant figure in the technological domain, paving the way for improved efficiency and robustness in database systems. As he continues to work with his talented colleagues at IBM, the tech community eagerly anticipates his future developments that will undoubtedly enhance the capabilities of computer technology.

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