Castro Valley, CA, United States of America

Mang Fu Matthew Wong

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Mang Fu Matthew Wong

Introduction

Mang Fu Matthew Wong is an accomplished inventor based in Castro Valley, California. He has made significant contributions to the field of database access control through his innovative patent. His work focuses on enhancing security and efficiency in relational databases.

Latest Patents

Matthew Wong holds a patent titled "Attribute aware relationship-based access control on row and field levels in a relational database." This patent describes systems and methods for implementing attribute-aware, relationship-based access control. The process involves receiving a query to access a relational database from a user, determining if a rule of the relational database is applicable to the query, and identifying one or more relationships associated with the query based on the rule. The query is then modified by adding an extra join operation, and additional clauses are included to enforce conditions based on the type of rule. This innovative approach enhances the security and functionality of database queries.

Career Highlights

Throughout his career, Matthew Wong has demonstrated a strong commitment to advancing technology in database management. His patent reflects his expertise in creating systems that improve data access control. His work is recognized for its practical applications in various industries that rely on relational databases.

Collaborations

Matthew Wong has collaborated with notable colleagues, including Subhash Uppalapati and Jesse S Wang. These partnerships have contributed to the development of his innovative solutions in database technology.

Conclusion

Mang Fu Matthew Wong is a notable inventor whose work in database access control has made a significant impact in the field. His innovative patent showcases his expertise and commitment to enhancing data security and efficiency.

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