Yokohama, Japan

Shuhei Iijima

This inventor holds 1 USPTO granted patent. Top assignee: Kioxia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shuhei Iijima. Retrieved from https://idiyas.com/inventor/shuhei-iijima

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Shuhei Iijima: Semiconductor Image Processing Innovation

Introduction

Shuhei Iijima is an inventor associated with Yokohama, Japan, and Kioxia Corporation. His patent work addresses semiconductor image processing, including methods for identifying image features and improving machine-learning models.

Latest Patents

The provided information lists one patent for Iijima: “Semiconductor Image Processing Apparatus and Semiconductor Image Processing Method.” The invention describes processing circuitry that uses an identifier to identify a label corresponding to a feature amount in an input image. It also learns a model for inferring image feature amounts, learns the identifier, and performs additional model learning based on the input image and the learned identifier. Iijima is credited with 1 patent.

Career Highlights

Iijima’s listed work connects semiconductor image processing with model learning and identifier-based image analysis. His association with Kioxia Corporation places this invention within the semiconductor technology sector.

Collaborations

The available information identifies Kioxia Corporation as Iijima’s company but does not specify collaborators or other organizations involved in the patent.

Conclusion

Shuhei Iijima’s listed patent focuses on combining image-feature identification with model learning to support semiconductor image processing.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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