Beijing, China

Zhipeng Gao

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.5

ph-index = 1


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):

Title: Zhipeng Gao: Innovator in Edge Computing Technologies

Introduction

Zhipeng Gao is a prominent inventor based in Beijing, China, known for his contributions to edge computing technologies. With a total of two patents to his name, Gao has made significant strides in the field, particularly in methods that enhance the functionality and efficiency of edge servers.

Latest Patents

Gao's latest patents include a "Method for Activating Edge Servers" and a "Deep Reinforcement Learning-Based Information Processing Method and Apparatus for Edge Computing Server." The first patent outlines a comprehensive method for activating multiple edge servers through a series of established data communication connections and trusted communications. This innovative approach allows for the efficient activation of edge servers, enhancing their operational capabilities. The second patent focuses on a deep reinforcement learning-based method that determines the optimal actions for edge computing servers based on service request data. This method aims to improve the responsiveness and performance of edge servers during alert states.

Career Highlights

Throughout his career, Zhipeng Gao has worked with notable companies such as Lenovo Limited and Beijing University of Posts and Telecommunications. His experience in these organizations has allowed him to develop and refine his expertise in edge computing and related technologies.

Collaborations

Gao has collaborated with esteemed colleagues, including Ming Lei and Haijun Xu, contributing to the advancement of innovative solutions in the tech industry.

Conclusion

Zhipeng Gao's work in edge computing exemplifies the impact of innovative thinking in technology. His patents reflect a commitment to enhancing server capabilities and improving information processing methods. Gao's contributions continue to shape the future of edge computing technologies.

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