North York, Canada

Eduardus A T Merks


Average Co-Inventor Count = 2.6

ph-index = 4

Forward Citations = 250(Granted Patents)


Location History:

  • North York, CA (2001 - 2010)
  • Ballantrae, CA (2011 - 2013)
  • Berlin, DE (2014)

Company Filing History:


Years Active: 2001-2014

where 'Filed Patents' based on already Granted Patents

8 patents (USPTO):

Title: Eduardus A T Merks: Innovator in Data Management Technologies

Introduction

Eduardus A T Merks is a notable inventor based in North York, Canada. He has made significant contributions to the field of data management, holding a total of 8 patents. His work primarily focuses on improving the efficiency of data handling and serialization processes.

Latest Patents

One of his latest patents is titled "Managing adapter association for a data graph of data objects." This invention provides a method, system, and program product for managing adapter associations within a data graph of data objects. The process involves generating a data graph on a server, which is then serialized into bits. These bits are communicated to a client over a network and subsequently deserialized back into the data graph. An adapter is associated with each data object after deserialization, which helps to avoid the overhead associated with having active adapters during this process.

Career Highlights

Eduardus A T Merks is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to further develop his innovative ideas and contribute to cutting-edge technologies in data management.

Collaborations

Throughout his career, Eduardus has collaborated with notable colleagues, including David Kenneth McKnight and Ritchard Leonard Schacher. These collaborations have likely enriched his work and contributed to the success of his inventions.

Conclusion

Eduardus A T Merks is a distinguished inventor whose work in data management technologies has led to multiple patents and significant advancements in the field. His innovative approaches continue to influence the way data is handled and processed in modern systems.

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