Tsukuba, Japan

Ryo Tamura

This inventor holds 1 USPTO granted patent. Top assignee: National Institute for Materials Science. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ryo Tamura. Retrieved from https://idiyas.com/inventor/ryo-tamura-k73z8cp0

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

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% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Ryo Tamura: Innovator in Chemical Sensor Technology

Introduction

Ryo Tamura is a notable inventor based in Tsukuba, Japan. He has made significant contributions to the field of chemical sensor technology. His innovative approach combines machine learning with chemical analysis to enhance the accuracy of value estimations associated with various specimens.

Latest Patents

Ryo Tamura holds a patent for a "Method and device for estimating value to be estimated associated with specimen." This invention provides a method and device that utilizes machine learning to analyze the relationship between known values of estimation objects and their corresponding outputs from chemical sensors. By leveraging data from multiple specimens, the device can estimate specific values for unknown specimens, thereby advancing the capabilities of chemical analysis.

Career Highlights

Ryo Tamura is affiliated with the National Institute for Materials Science, where he applies his expertise in materials research and sensor technology. His work has been instrumental in developing advanced methodologies that improve the reliability of chemical sensors in various applications.

Collaborations

Ryo has collaborated with esteemed colleagues such as Kota Shiba and Gaku Imamura. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas within the field.

Conclusion

Ryo Tamura's contributions to chemical sensor technology exemplify the intersection of machine learning and material science. His innovative patent reflects a commitment to advancing the field and improving the accuracy of chemical estimations.

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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