Santa Clara, CA, United States of America

Nadia Fawaz

USPTO Granted Patents = 6 

Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2014 - 2022)
  • Santa Clara, CA (US) (2016 - 2023)

Company Filing History:


Years Active: 2014-2024

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6 patents (USPTO):Explore Patents

Title: Inventor Spotlight: Nadia Fawaz

Introduction

Nadia Fawaz is an innovative inventor based in Santa Clara, California. With a remarkable portfolio of six patents, she has made significant contributions to the field of technology, particularly in the realm of content analysis and machine learning.

Latest Patents

One of Nadia's latest inventions revolves around the concept of hair pattern determination and filtering. This patent describes systems and methods designed to accurately determine hair patterns presented in various content items. By associating these hair patterns with the content items, her invention facilitates effective indexing, filtering, and categorization based on the determined styles. Notably, in exemplary implementations, a corpus of content items is linked to an embedding vector that contains a binary representation of the item. These embedding vectors serve as inputs to a trained machine learning model that processes them to identify hair patterns without requiring image pre-processing.

Career Highlights

Nadia has a distinguished career, having worked with prominent technology companies such as Microsoft Technology Licensing, LLC and Pinterest, Inc. Her experiences at these organizations have undoubtedly played a crucial role in shaping her inventive mindset and expertise in technological advancements.

Collaborations

During her career, Nadia has collaborated with talented individuals, including colleagues Anh Tuong Ta and Bhawna Juneja. These collaborations have enriched her projects, allowing her to combine different perspectives and skills, which is essential for fostering innovation.

Conclusion

In summary, Nadia Fawaz stands out as an impressive inventor whose work continues to influence the fields of content analysis and machine learning. With multiple patents to her name and a strong foundation built through collaborations and experiences at leading companies, she is likely to contribute even more groundbreaking innovations in the future.

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