San Jose, CA, United States of America

Hui Guo

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Future Wei Technologies, Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hui Guo. Retrieved from https://idiyas.com/inventor/hui-guo-uu4ixbm7

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


% Patents Active = 100.0

 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Hui Guo - Innovator in Edge Computing

Introduction

Hui Guo is a prominent inventor based in San Jose, California. He has made significant contributions to the field of edge computing, particularly in the dynamic allocation of computing resources. His innovative approach addresses the challenges faced by edge computing centers in managing resources efficiently.

Latest Patents

Hui Guo holds a patent for a method titled "Dynamic allocation of edge computing resources in edge computing centers." This patent outlines a computer-implemented method for dynamically allocating edge computing resources. The method involves receiving requests for edge computing resources to perform secondary tasks and reallocating resources as needed based on workload demands.

Career Highlights

Throughout his career, Hui Guo has worked with notable companies such as Future Wei Technologies, Inc. and Huawei Technologies Co., Limited. His experience in these organizations has allowed him to develop and refine his expertise in edge computing technologies.

Collaborations

Hui has collaborated with talented individuals in the field, including coworkers Hang Shi and Yinghua Ye. Their collective efforts have contributed to advancements in edge computing solutions.

Conclusion

Hui Guo's innovative work in edge computing and his patent on resource allocation demonstrate his commitment to advancing technology in this critical area. His contributions are paving the way for more efficient computing solutions in the future.

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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