Kawasaki, Japan

Tomoyuki Tsunoda

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.3

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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4 patents (USPTO):Explore Patents

Title: Innovations of Tomoyuki Tsunoda

Introduction

Tomoyuki Tsunoda is a notable inventor based in Kawasaki, Japan. He has made significant contributions to the field of information processing and machine learning. With a total of four patents to his name, Tsunoda's work focuses on advanced technologies that enhance the understanding and analysis of brainwave data.

Latest Patents

Tsunoda's latest patents include a non-transitory computer-readable recording medium, an encephalopathy determination method, and an information processing apparatus. One of his innovative detection devices generates multiple attractors based on brainwave data. This device calculates a Betti number by applying a persistent homology transform to the attractors. It determines the onset of encephalopathy based on the first-order component of a Betti sequence derived from the Betti number. Another patent involves a method for analyzing time-series data using machine learning. This method includes generating a sine wave from input data with periodic properties, determining a sampling period based on the roundness of an attractor, and performing machine learning with a pseudo attractor.

Career Highlights

Tomoyuki Tsunoda is currently employed at Fujitsu Corporation, where he continues to develop innovative technologies. His work has garnered attention for its potential applications in medical diagnostics and data analysis.

Collaborations

Some of Tsunoda's coworkers include Yoshiaki Ikai and Junji Kaneko, who contribute to the collaborative environment at Fujitsu Corporation.

Conclusion

Tomoyuki Tsunoda's contributions to the fields of information processing and machine learning highlight his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving methods for analyzing complex data, particularly in the context of brain health.

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