Gothenburg, Sweden

Tad M Heppner


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Portland, OR (US) (2016)
  • Göteborg, SE (2019)
  • Gothenburg, SE (2021)

Company Filing History:


Years Active: 2016-2021

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3 patents (USPTO):Explore Patents

Title: Innovator Spotlight: Tad M. Heppner

Introduction: Tad M. Heppner is a notable inventor based in Gothenburg, Sweden, known for his contributions in the field of data analysis and computer science. With three patents to his name, Heppner has made significant strides, particularly in comparing data sets through innovative statistical methods.

Latest Patents: One of his latest patents is titled "System and Method for Statistical Analysis of Comparative Entropy." This patent discloses a method that determines the similarity between a first data set and a second data set. The process involves performing an entropy analysis on both data sets to produce a first entropy result. The first data set comprises data from known computer files, while the second data set originates from unknown computer files. By analyzing the first entropy result, Heppner has provided a way to identify whether the second data set is significantly related to the first, enhancing data comparison techniques.

Career Highlights: Tad M. Heppner is currently employed at McAfee, Inc., where his work focuses on developing advanced technologies in data security and analysis. His expertise in entropy analysis showcases his ability to innovate in complex mathematical computations for practical applications.

Collaborations: Throughout his career, Heppner has worked alongside notable colleagues, including David Neill Beveridge and Abhishek Ajay Karnik. These collaborations highlight his integration within a team of skilled professionals, contributing to a diverse range of projects and innovations.

Conclusion: With his innovative approach and dedication to data analysis, Tad M. Heppner exemplifies the spirit of modern inventors. His patents and contributions continue to influence the field, paving the way for advancements that enhance data security and analysis methodologies in technology.

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