Newport Beach, CA, United States of America

Douglas Marshall Tolbert

USPTO Granted Patents = 6 

Average Co-Inventor Count = 2.1

ph-index = 5

Forward Citations = 249(Granted Patents)


Location History:

  • Dear Park, TX (US) (1991)
  • Newport Beach, CA (US) (2000 - 2009)
  • Irvine, CA (US) (2016)

Company Filing History:


Years Active: 1991-2016

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6 patents (USPTO):Explore Patents

Title: Douglas Marshall Tolbert: Innovator in Data Management Technologies

Introduction

Douglas Marshall Tolbert is a prominent inventor based in Newport Beach, CA. He has made significant contributions to the field of data management, holding a total of 6 patents. His work focuses on enhancing the efficiency of data distribution and management across various database systems.

Latest Patents

Tolbert's latest patents include innovative systems and methods for managing distributed data using multiple data models. One notable patent describes a method that involves receiving a data request from various database interfaces, each linked to a different data model type. This method translates the data request based on a data model neutral description, ensuring consistent data management across all interfaces. Another patent outlines a system for converting hierarchical database schemas into relational database schemas, utilizing a specialized server and a Graphical User Interface to facilitate this transformation.

Career Highlights

Throughout his career, Tolbert has worked with notable companies, including Unisys Corporation. His expertise in data architecture and systems has positioned him as a key player in the development of advanced data management solutions.

Collaborations

Tolbert has collaborated with esteemed professionals in the field, including James Albert Fontana and Sridhar Srinivasa Iyengar. These collaborations have further enriched his contributions to data management technologies.

Conclusion

Douglas Marshall Tolbert's innovative work in data management has led to significant advancements in the field. His patents reflect a deep understanding of complex data systems and a commitment to improving data distribution and management.

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