Cambridge, New Zealand

Stuart John Inglis

USPTO Granted Patents = 18 

 

Average Co-Inventor Count = 4.2

ph-index = 3

Forward Citations = 17(Granted Patents)


Location History:

  • Hamilton, NZ (2009 - 2024)
  • Cambridge, NZ (2022 - 2024)

Company Filing History:


Years Active: 2009-2025

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18 patents (USPTO):Explore Patents

Title: Innovations of Stuart John Inglis

Introduction

Stuart John Inglis is a notable inventor based in Cambridge, New Zealand. He has made significant contributions to the field of data storage and management, holding a total of 17 patents. His work focuses on enhancing the efficiency and reliability of data storage systems.

Latest Patents

Inglis's latest patents include innovative systems and methods for writing data to a persistent storage device. One of his notable inventions allows data to be received into a placement intelligence, where it is analyzed before being written to a persistent storage device. This system also incorporates periodic self-optimization to improve read speeds and other performance metrics. Another significant patent involves a method for responding to read requests for reconstructed data in a degraded drive. This method includes receiving a request to read data stored in an array of drives, determining if the data is on degraded drives, and reconstructing the data from other drives in the array.

Career Highlights

Throughout his career, Inglis has worked with various companies, including Daedalus Cloud LLC and Nyriad, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in data storage technology.

Collaborations

Inglis has collaborated with several professionals in his field, including Sheridan John Lambert and Xavier Aldren Simmons. These collaborations have contributed to the advancement of his projects and innovations.

Conclusion

Stuart John Inglis is a prominent figure in the realm of data storage innovations, with a strong portfolio of patents that reflect his expertise and creativity. His contributions continue to shape the future of data management technologies.

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