Introduction: Hanieh Borhanazad, an accomplished inventor based in Greenwich, Australia, holds a remarkable portfolio of 8 patents. Her contributions are particularly noteworthy in the realm of machine learning, where she has developed groundbreaking technologies aimed at enhancing data extraction from digital documents.

Latest Patents: Among her latest patents is a significant advancement titled "Text-based machine learning extraction of table data from a read-only document." This innovation provides pioneering solutions for automatically reading digital electronic documents containing tables, effectively extracting data, rows, and columns with unprecedented accuracy and efficiency. The technology employs text rectangle (TR)-level numerical data to ascertain the probability of TRs belonging to canonicals, utilizing at least one convolutional neural network (CNN) to process this data and generate table-level numerical results. This dual approach transforms table portions of read-only documents into searchable and editable records, significantly improving data usability.

Career Highlights: Hanieh currently contributes her expertise to Coupa Software, Inc., where she applies her innovative talents to advance the company's technological capabilities. Her work not only emphasizes her technical proficiency but also underscores her commitment to developing impactful solutions that address real-world challenges.

Collaborations: Throughout her career, Hanieh has had the privilege of working alongside talented individuals such as Mark Oliver Burch and Hongyang Yu. These collaborations have not only enriched her own professional development but have also fostered an environment of creativity and shared innovation within her team.

Conclusion: Hanieh Borhanazad's journey as an inventor is characterized by her dedication to innovation in machine learning technologies. Her patents reflect a commitment to improving how we interact with data, showcasing the potential of modern technology to reshape our understanding and utilization of information. As she continues to make strides in her field, her contributions will undoubtedly leave a lasting impact on the landscape of data extraction and processing.

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