Beijing, China

Guo Ma


 

Average Co-Inventor Count = 4.3

ph-index = 2

Forward Citations = 16(Granted Patents)


Company Filing History:


Years Active: 2015-2022

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: Guo Ma: Innovator in Industrial Data Services

Introduction

Guo Ma is a prominent inventor based in Beijing, China. He has made significant contributions to the field of industrial data services, with a focus on data modeling and application platforms. With a total of 6 patents to his name, Guo Ma is recognized for his innovative approaches to controlling industrial operations through advanced data analytics.

Latest Patents

Guo Ma's latest patents include groundbreaking technologies in industrial data services. One notable patent relates to a platform designed for allocating data modeling requests to a collaborative group of experts. This platform utilizes a two-dimensional data modeling flow data structure and a multilayer resource allocation graph to create a data model that enhances the control of industrial operations. Another significant patent focuses on a secure data system that facilitates efficient searching of extensive data storage layers, such as blockchain. This system generates an index for data elements of a predefined type, enabling fast queries into the blockchain.

Career Highlights

Throughout his career, Guo Ma has worked with reputable companies, including Accenture Global Services GmbH and Accenture Global Solutions Limited. His experience in these organizations has allowed him to develop and refine his expertise in data services and analytics.

Collaborations

Guo Ma has collaborated with notable professionals in his field, including Xiaopei Cheng and Qin Zhou. These collaborations have contributed to the advancement of his innovative projects and patents.

Conclusion

Guo Ma stands out as a key figure in the realm of industrial data services, with a strong portfolio of patents that reflect his innovative spirit. His work continues to influence the industry, paving the way for future advancements in data modeling and application platforms.

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