Tokyo, Japan

Shin Ishiguro

This inventor holds 3 USPTO granted patents and 6 published patent applications. Top assignee: Ntt Docomo, Inc.. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shin Ishiguro. Retrieved from https://idiyas.com/inventor/shin-ishiguro-rglf08zo

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

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 66.7

Average Co-Inventor Count = 2.7

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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3 patents (USPTO):Explore Patents

Title: Shin Ishiguro: Innovator in Demand Forecasting

Introduction

Shin Ishiguro is a prominent inventor based in Chiyoda-ku, Japan. He has made significant contributions to the field of demand forecasting through his innovative patent. His work focuses on utilizing machine learning to enhance the accuracy of demand predictions for services.

Latest Patents

Shin Ishiguro holds a patent titled "Learning and using a single forecast model for demand forecasting." This patent describes a learning system that includes a learning data acquisition unit, which generates a neural network for forecasting demand. The system acquires actual demand values and feature amounts for learning, normalizes the data, and performs machine learning to generate accurate forecasts. This innovative approach aims to improve the efficiency and reliability of demand forecasting in various services.

Career Highlights

Shin Ishiguro is currently employed at NTT Docomo, Inc., where he applies his expertise in machine learning and demand forecasting. His work has positioned him as a key figure in the development of advanced forecasting systems. With a focus on practical applications, he continues to push the boundaries of technology in his field.

Collaborations

Shin collaborates with talented colleagues, including Yusuke Fukazawa and Satoshi Kawasaki. Together, they work on projects that aim to enhance the capabilities of demand forecasting systems and contribute to the advancement of technology in their industry.

Conclusion

Shin Ishiguro's innovative work in demand forecasting exemplifies the impact of machine learning on service industries. His contributions are paving the way for more accurate and efficient forecasting methods.

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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