CA

Hugo Bergeron

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.6

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2019-2023

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3 patents (USPTO):Explore Patents

Title: Hugo Bergeron: Innovator in Infrastructure Modeling

Introduction

Hugo Bergeron is a notable inventor based in California, recognized for his contributions to the field of infrastructure modeling. With a total of 3 patents, he has developed innovative techniques that leverage machine learning to enhance the classification and analysis of infrastructure elements.

Latest Patents

One of Hugo's latest patents focuses on the automatic identification of misclassified elements within an infrastructure model. This invention employs supervised machine learning to train classification models that utilize various data types, including geometric and textual data. By comparing predictions from different models, the system can identify misclassified elements, which are then presented to users for review and correction. Another significant patent involves classifying individual elements of an infrastructure model. This technique trains machine learning algorithms on previously classified models, enabling the automatic classification of new or updated infrastructure elements. The resulting classified data can be used for analytics, facilitating project performance monitoring and design impact assessments.

Career Highlights

Hugo has worked with prominent organizations, including Bentley Systems, Inc. and the Government of the United States of America, as represented by the Secretary of Commerce. His work in these institutions has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in infrastructure modeling.

Collaborations

Hugo has collaborated with talented individuals such as Marc-André Lapointe and Karl-Alexandre Jahjah, further enhancing the impact of his work through teamwork and shared expertise.

Conclusion

Hugo Bergeron's innovative contributions to infrastructure modeling through machine learning techniques have significantly advanced the field. His patents reflect a commitment to improving the accuracy and efficiency of infrastructure element classification.

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