Americana, Brazil

Mayumi Assato


Average Co-Inventor Count = 8.7

ph-index = 2

Forward Citations = 19(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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4 patents (USPTO):Explore Patents

Title: Mayumi Assato: Innovator in Signal Detection Technologies

Introduction

Mayumi Assato is a prominent inventor based in Americana, Brazil. She has made significant contributions to the field of data analytics and signal detection, holding a total of four patents. Her innovative work focuses on developing computer-implemented methods and systems that enhance the discovery of patterns and signals from complex data sources.

Latest Patents

One of Mayumi's latest patents is titled "Data Distillery for Signal Detection." This invention encompasses a comprehensive method that includes several operations. It begins with collecting data from multiple sources, each having various associated data types. The collected data is then filtered to identify viable sources, followed by prioritizing discovery objectives based on the filtering results. The method enriches the filtered data according to these objectives and extracts signals using machine learning mechanisms combined with expert input. Finally, the extracted signals are graphically displayed in a way that allows human operators to understand their significance.

Career Highlights

Mayumi Assato is currently employed at Fair Isaac Corporation, where she continues to innovate in the field of data analytics. Her work has been instrumental in advancing technologies that facilitate better decision-making through enhanced data interpretation.

Collaborations

Throughout her career, Mayumi has collaborated with notable colleagues, including Nitin Basant and Paulo Mei. These partnerships have contributed to her success and the development of her innovative solutions.

Conclusion

Mayumi Assato is a trailblazer in the realm of signal detection technologies. Her contributions through patents and collaborative efforts have significantly impacted the field of data analytics. Her work continues to inspire advancements in understanding complex data patterns.

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