Kyoto, Japan

Keisuke Inugai

This inventor holds 1 USPTO granted patent. Top assignee: Screen Holdings Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Keisuke Inugai. Retrieved from https://idiyas.com/inventor/keisuke-inugai

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Keisuke Inugai: Patent Innovation in Substrate Processing

Introduction

Keisuke Inugai is an inventor associated with Kyoto, Japan, and Screen Holdings Co., Ltd. His patent work addresses schedule creation for substrate-processing equipment, combining operational constraints with machine-learning-based selection.

Latest Patents

Inugai is associated with 1 patent: “Schedule Creation Method, Schedule Creating Device, Substrate Processing Apparatus, Substrate Processing System, and Storage Medium.” The invention describes a method that repeatedly learns to place procedure patterns into a timetable for the elements of a substrate-processing apparatus. At each step, the method identifies patterns permitted by prescribed constraints, uses machine learning to select a pattern predicted to maximize an evaluation value, and updates the timetable with that selection.

Career Highlights

Inugai’s listed patent connects machine learning with the practical task of organizing processing sequences. The approach is designed to create schedules while respecting constraints on which procedures can be placed in the timetable.

Collaborations

The provided information names Jun Kawai and Takashi Kasahara as Inugai’s coworkers. It does not specify their roles in the patent or describe particular collaborations.

Conclusion

Keisuke Inugai’s patent reflects an application of machine learning to scheduling in substrate processing, with a focus on selecting feasible procedures and improving timetable evaluations.

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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