Austin, TX, United States of America

William Harold Gengler


Average Co-Inventor Count = 4.0

ph-index = 4

Forward Citations = 184(Granted Patents)


Company Filing History:


Years Active: 1998-2006

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4 patents (USPTO):Explore Patents

Title: The Innovations of William Harold Gengler

Introduction

William Harold Gengler is a notable inventor based in Austin, TX. He has made significant contributions to the field of database synchronization, holding a total of 4 patents. His work focuses on improving the efficiency and reliability of data management systems.

Latest Patents

Gengler's latest patents include a "Method and apparatus for representing deleted data in a synchronizable database." This invention provides a method for synchronizing a database used by a client device with at least one server. It introduces a locally unique identifier for each record, which is modified to indicate deletion, thus enhancing the synchronization process. Another significant patent is the "Method and apparatus for real-time creation and modification of a change log for multi-server synchronization." This invention allows for the identification of dirty bits in a client database, which are then used to modify a change log for effective synchronization with a server database.

Career Highlights

William Harold Gengler is currently employed at International Business Machines Corporation, commonly known as IBM. His role involves developing innovative solutions that address complex database synchronization challenges. His expertise in this area has positioned him as a valuable asset to his team and the company.

Collaborations

Gengler has collaborated with notable colleagues such as Richard Kevin Acree and Brian Lee White Eagle. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

William Harold Gengler's contributions to database synchronization through his patents reflect his innovative spirit and technical expertise. His work continues to influence the field and improve data management practices.

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