Hillsborough, NC, United States of America

Duke C Chang

USPTO Granted Patents = 6 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2014-2020

Loading Chart...
6 patents (USPTO):Explore Patents

Title: Duke C Chang: Innovator in Asset Transfer Flow Analysis

Introduction

Duke C Chang is a notable inventor based in Hillsborough, NC (US). He has made significant contributions to the field of asset transfer flow analysis, holding a total of six patents. His work focuses on analyzing unstructured data to identify relationships between entities regarding asset transfers.

Latest Patents

One of Duke C Chang's latest patents involves modeling asset transfer flow relationships discovered in unstructured data. The mechanisms provided in this patent perform an analysis of content based on the flow of property between entities. They analyze a corpus of unstructured documents to identify one or more asset transfer flow relationships between entities. The mechanisms generate an asset transfer flow model that defines the flow of an asset between entities based on these relationships. This model is then input into an analysis engine for content analysis. The mechanisms utilize the asset transfer flow model to generate and output results of the analysis.

Career Highlights

Duke C Chang is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to develop innovative solutions that enhance the understanding of asset transfer dynamics in various contexts.

Collaborations

Duke has collaborated with several talented individuals, including Donna Karen Byron and Leanne N LeBlanc. These collaborations have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Duke C Chang is a prominent inventor whose work in asset transfer flow analysis has made a significant impact in the field. His innovative patents and collaborations reflect his dedication to advancing technology and understanding complex data relationships.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…