San Francisco, CA, United States of America

William Enerson Harvey

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Location History:

  • Hinckley, OH (US) (1982)
  • Dallas, TX (US) (1983)
  • San Francisco, CA (US) (2022 - 2024)

Company Filing History:


Years Active: 1982-2024

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4 patents (USPTO):Explore Patents

Title: Innovations of William Enerson Harvey

Introduction

William Enerson Harvey is an accomplished inventor based in San Francisco, CA. He holds a total of 4 patents that showcase his expertise in applying advanced technologies to solve real-world problems. His work primarily focuses on the classification and transformation of sequential event data, particularly in the shipping industry.

Latest Patents

One of his latest patents involves a method and system that utilize a combination of machine learning and graph techniques to classify and transform sequential event data. This innovative approach is designed to generate raw data in the shipping industry, automatically classifying a sequence of status codes extracted from EDI data files. These codes correspond to a series of physical events experienced by a shipping container. The system transforms these codes into a sequence of meaningful milestones, thereby providing improved visibility regarding the actual status of the shipping container. This method can be applied not only in the shipping industry but also in various other applications.

Career Highlights

Throughout his career, William has worked with notable companies, including P44, LLC. His contributions have significantly impacted the efficiency and effectiveness of data management in the shipping sector.

Collaborations

William has collaborated with talented individuals such as Thomas Janos Atwood and Marc-Henri Gires, further enhancing the innovative solutions he has developed.

Conclusion

William Enerson Harvey's work exemplifies the intersection of technology and practical application, particularly in the shipping industry. His patents reflect a commitment to improving data classification and transformation, which is essential for enhancing operational visibility.

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