Tokyo, Japan

Masashi Oikawa


Average Co-Inventor Count = 2.4

ph-index = 2

Forward Citations = 34(Granted Patents)


Location History:

  • Sagamihara, JP (1997)
  • Tokyo, JP (1995 - 2022)

Company Filing History:


Years Active: 1995-2022

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4 patents (USPTO):Explore Patents

Title: Masashi Oikawa: Innovator in Machine Learning and Engineering

Introduction

Masashi Oikawa is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the fields of engineering and machine learning, holding a total of 4 patents. His innovative work focuses on enhancing the efficiency and functionality of various systems.

Latest Patents

Oikawa's latest patents include a sliding nozzle design that aims to suppress the adhesion and deposition of metal oxides on the inner surfaces of its components. This design features three plates: an upper plate, an intermediate plate capable of sliding movement, and a lower plate. The intermediate plate is ingeniously structured with inclined portions that facilitate the sliding closure of the nozzle while maintaining optimal performance.

Another notable patent involves a machine learning device and data processing system. This device is designed to acquire state variables and teaching data to generate a learned model through machine learning. It effectively processes information regarding printed matter and the print medium used, ensuring high-quality output from image forming apparatuses.

Career Highlights

Throughout his career, Masashi Oikawa has worked with esteemed companies such as Nippon Steel Corporation and Oki Electric Industrial Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

Oikawa has collaborated with notable colleagues, including Katsuhiro Minamida and Atsushi Sugihashi. Their combined expertise has fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Masashi Oikawa's contributions to machine learning and engineering exemplify his dedication to innovation. His patents reflect a commitment to improving technology and enhancing efficiency in various applications. His work continues to inspire future advancements in these fields.

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