Singapore, Singapore

Xiao-Ming Zhou

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: **Inventor Spotlight: Xiao-Ming Zhou**

Introduction

Xiao-Ming Zhou is a prominent inventor based in Singapore, renowned for his innovative contributions in the field of computing systems. With a focus on querying multiple data sources, Zhou’s work has the potential to streamline data access and enhance information retrieval processes in various applications.

Latest Patents

Xiao-Ming Zhou holds a patent for a "System and method for querying multiple data sources." This patented technology involves a sophisticated computing system that allows for the efficient querying of multiple data sources. The system consists of one or more nodes that can communicate with at least one data source, facilitating data access. Additionally, a second node processes query instances to generate relational queries that are distributed among the nodes, ultimately enabling the extraction and aggregation of data from various sources.

Career Highlights

Currently, Zhou is employed at Telepathy Labs, Inc., where he continues to push the boundaries of technology with his innovative ideas. His commitment to research and development in data management has led to significant advancements in the way information is processed and utilized in computing environments.

Collaborations

At Telepathy Labs, Inc., Zhou collaborates with talented professionals, including his coworker, Stephen Brown. Together, they work on various projects aimed at enhancing data systems, showcasing how teamwork can lead to groundbreaking advancements in technology.

Conclusion

Xiao-Ming Zhou's innovative spirit and dedication to improving data querying systems make him a valuable inventor in the tech industry. With his patent and ongoing work at Telepathy Labs, Inc., he continues to contribute to the field of computing, paving the way for more efficient data management solutions in the future.

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