Adelaide, Australia

Anton John Van Den Hengel




Average Co-Inventor Count = 3.3

ph-index = 4

Forward Citations = 49(Granted Patents)


Location History:

  • Rose Park, AU (2014)
  • Trinity Gardens, AU (2014)
  • Adelaide, AU (2013 - 2018)

Company Filing History:


Years Active: 2013-2018

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7 patents (USPTO):Explore Patents

Title: Anton John Van Den Hengel: Innovator in Classification and Microbial Analysis

Introduction

Anton John Van Den Hengel is a prominent inventor based in Adelaide, Australia. He has made significant contributions to the fields of classification and microbial analysis, holding a total of 7 patents. His innovative methods have advanced the way we understand and analyze data in various applications.

Latest Patents

One of his latest patents is a "Method for improving classification results of a classifier." This method involves receiving classification results for a plurality of elements classified by a classifier, constructing a graph with nodes corresponding to these elements, and utilizing a graph cut algorithm to partition the graph into classes. Another notable patent is the "Method and software for analysing microbial growth." This method includes obtaining image data of a solid culture medium, generating a feature vector, and using a classifier to derive a microbiological assessment based on pixel classifications.

Career Highlights

Throughout his career, Anton has worked with several companies, including LBT Innovations Limited and Three Pixels Wide Pty Ltd. His work has been instrumental in developing innovative solutions that enhance classification and analysis processes.

Collaborations

Anton has collaborated with notable individuals in his field, including Anthony Robert Dick and Benjamin William Stephen Ward. These collaborations have contributed to the advancement of his research and innovations.

Conclusion

Anton John Van Den Hengel is a distinguished inventor whose work in classification and microbial analysis has led to significant advancements in these fields. His contributions continue to influence the way we approach data analysis and microbial growth assessment.

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