Xi'an, China

Gaozhi Wang

This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gaozhi Wang. Retrieved from https://idiyas.com/inventor/gaozhi-wang

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations of Gaozhi Wang in Cloud Computing

Introduction

Gaozhi Wang is a notable inventor based in Xi'an, China. He has made significant contributions to the field of cloud computing, particularly in resource allocation systems. His innovative approach focuses on optimizing resource distribution based on predictive analytics.

Latest Patents

Gaozhi Wang holds a patent titled "Resource allocation in a cloud computing system based on predictions of workload probability parameters." This patent encompasses a system, method, and computer program product designed to allocate resources effectively. The method involves collecting historical workload data, predicting future workload parameters, and determining the necessary resources to maintain quality of service for applications.

Career Highlights

Gaozhi Wang is currently employed at SAP SE, where he applies his expertise in cloud computing. His work involves developing advanced solutions that enhance the efficiency and reliability of cloud services. With a focus on innovation, he continues to push the boundaries of technology in his field.

Collaborations

Gaozhi Wang collaborates with talented colleagues, including Ming Yan and Shifan Cheng. Together, they work on various projects that aim to improve cloud computing systems and resource management.

Conclusion

Gaozhi Wang's contributions to cloud computing through his innovative patent and collaborative efforts highlight his role as a key figure in the industry. His work continues to influence the development of efficient resource allocation systems in cloud environments.

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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