Tokyo, Japan

Toshihide Saka

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Toshihide Saka. Retrieved from https://idiyas.com/inventor/toshihide-saka

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


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Toshihide Saka: Inventor in Flow Field Prediction

Introduction

Toshihide Saka is an inventor based in Tokyo, Japan, whose patent work concerns predicting urban flow fields. He is associated with Kajima Corporation and has 1 patent listed in the information provided.

Latest Patents

Saka’s listed patent is “Flow Field Prediction Device, Learning Device, Flow Field Prediction Program, and Learning Program.” The invention describes a device that uses analysis results from a less computationally intensive method as input to a learning model. Trained with data that pairs those results with more accurate analyses, the model produces a prediction of the flow field around a city block containing multiple buildings.

Career Highlights

The patent reflects an approach to applying machine learning to urban flow-field analysis. By using a model trained on higher-accuracy computational results, the system aims to predict flow fields while reducing reliance on the more demanding computation method for each new analysis.

Collaborations

Saka’s listed coworkers include Junki Yamaguchi and Yasuhito Yoshida. The available information does not specify their roles in the patent or the extent of their collaboration.

Conclusion

Toshihide Saka’s listed invention combines computational analysis and machine learning to predict flow fields in built-up urban areas.

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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