Cupertino, CA, United States of America

Yee-Hsiang Sean Chang

USPTO Granted Patents = 5 

Average Co-Inventor Count = 3.6

ph-index = 4

Forward Citations = 33(Granted Patents)


Company Filing History:


Years Active: 2006-2015

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5 patents (USPTO):

Title: Innovations of Yee-Hsiang Sean Chang

Introduction

Yee-Hsiang Sean Chang is a notable inventor based in Cupertino, California. He has made significant contributions to the field of data storage systems, holding a total of five patents. His work focuses on improving the efficiency and reliability of data management.

Latest Patents

One of his latest patents is titled "Methods for providing and indicating storage load indexes." This invention outlines a method for indicating an overload condition of a data storage system. It involves defining one or more load indexes, each with an overload threshold. If any load index meets its respective overload threshold, an indicator of the overload condition is provided. Otherwise, the load indexes are monitored.

Another significant patent is "Methods and systems for storing data blocks of multi-streams and multi-user applications." This method includes defining intervals for virtual disks, receiving storage commands, and determining whether the data of the respective interval should be written to a corresponding storage unit. These innovations enhance the management of data in complex applications.

Career Highlights

Yee-Hsiang Sean Chang has worked with several prominent companies, including Avaya Technology LLC and Rasilient Systems, Inc. His experience in these organizations has contributed to his expertise in data storage technologies.

Collaborations

Some of his notable coworkers include Chih-Yuan Chang and Jenwei Liang. Their collaboration has likely fostered innovative ideas and advancements in their respective fields.

Conclusion

Yee-Hsiang Sean Chang's contributions to data storage technology through his patents and career experiences highlight his role as a significant inventor in the industry. His work continues to influence advancements in data management systems.

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