San Jose, CA, United States of America

Mo Liu

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.3

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • San Jose, CA (US) (2016)
  • Worcester, MA (US) (2017)

Company Filing History:


Years Active: 2016-2017

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3 patents (USPTO):Explore Patents

Title: Mo Liu: Innovator in Multi-Dimensional Data Modeling

Introduction

Mo Liu is a prominent inventor based in San Jose, California. He has made significant contributions to the field of data modeling, particularly in the area of multi-dimensional sequence data. With a total of 3 patents to his name, Liu's work has garnered attention for its innovative approaches and practical applications.

Latest Patents

One of Liu's latest patents is titled "Modeling Multi-Dimensional Sequence Data Over Streams." This invention describes a method for building a model of multi-dimensional sequence data in real-time using cuboids that aggregate the data across various patterns and dimensions. The model is designed to provide efficient search results for user queries. Another notable patent is "Determining an Execution Ordering," which outlines a computer-implemented method for establishing an execution order of pattern queries. This method involves generating a directed graph based on a hierarchy of queries and determining a minimum spanning tree to optimize the execution order.

Career Highlights

Mo Liu is currently employed at Hewlett Packard Enterprise Development LP, where he continues to innovate and develop new technologies. His work at this esteemed company has allowed him to collaborate with other talented professionals in the field.

Collaborations

Liu has worked alongside notable colleagues such as Song Wang and Chetan Kumar Gupta. Their combined expertise contributes to the advancement of technology and innovation within their projects.

Conclusion

Mo Liu's contributions to the field of data modeling and his innovative patents highlight his role as a leading inventor in the technology sector. His work continues to influence the way multi-dimensional data is processed and utilized in real-time applications.

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