Tampa, FL, United States of America

Kenneth M Johns


Average Co-Inventor Count = 4.7

ph-index = 2

Forward Citations = 62(Granted Patents)


Location History:

  • Riverview, FL (US) (2010 - 2012)
  • Tampa, FL (US) (2013)

Company Filing History:


Years Active: 2010-2013

where 'Filed Patents' based on already Granted Patents

5 patents (USPTO):

Title: Unveiling the Inventive Spirit of Kenneth M Johns from Tampa, FL

Introduction:

Kenneth M Johns, a brilliant inventor based in Tampa, FL, has made significant contributions to the field of data processing with his innovative solutions. With a total of 5 patents to his name, Kenneth has showcased his prowess in creating cutting-edge technologies aimed at enhancing data stream processing efficiency.

Latest Patents:

Kenneth's latest patents include groundbreaking inventions such as "Method and apparatus for self-optimizing data selection" and "Method and apparatus for automated processing of a data stream". The former focuses on improving the performance of Boolean combinations of filters in data streams, while the latter delves into automated processing of hierarchical self-describing data streams.

Career Highlights:

Kenneth M Johns is a valued member of the International Business Machines Corporation (IBM), where he continues to drive innovation in data processing technologies. His expertise and creativity have led to the development of solutions that have revolutionized the way data streams are handled and processed within the industry.

Collaborations:

In his inventive journey, Kenneth has collaborated with esteemed colleagues such as James J Rhodes and Shun Jiang. Together, they have worked tirelessly to push the boundaries of data processing technologies and bring about solutions that streamline processes and enhance overall efficiency.

Conclusion:

Kenneth M Johns stands as a beacon of innovation in the realm of data processing, with his patents and contributions reflecting his dedication to advancing technological solutions. His inventive spirit and collaborative efforts continue to shape the landscape of data processing, setting new standards for efficiency and performance in the industry.

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