Detroit, MI, United States of America

Taylor Hawley

This inventor holds 1 USPTO granted patent. Top assignee: Ford Motor Company Limited. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Taylor Hawley. Retrieved from https://idiyas.com/inventor/taylor-hawley-h3a59chp

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Taylor Hawley - Innovator in Vehicular Data Processing

Introduction

Taylor Hawley is a notable inventor based in Detroit, MI (US). He has made significant contributions to the field of vehicular data processing. His innovative approach focuses on enhancing the efficiency of data extraction and search methodologies within the automotive industry.

Latest Patents

Hawley holds a patent for a "Method and system for deconstructing and searching binary based vehicular data." This patent outlines a comprehensive method that includes extracting vehicle filename metadata, parsing data from vehicular files, and generating categorized objects based on a vehicular data dictionary. The system is designed to store vehicular documents in a database and build queries based on user input, ultimately transmitting relevant search results.

Career Highlights

Taylor Hawley is currently employed at Ford Motor Company Limited, where he applies his expertise in vehicular data systems. His work contributes to the advancement of automotive technologies and enhances the capabilities of data management within vehicles.

Collaborations

Hawley collaborates with talented colleagues, including John William Schmotzer and Yao Ge. Together, they work on innovative projects that push the boundaries of automotive technology.

Conclusion

Taylor Hawley is a pioneering inventor whose work in vehicular data processing is shaping the future of the automotive industry. His contributions are vital for improving data management and search capabilities in vehicles.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…