Musashino, Japan

Ayako Hasegawa

This inventor holds 1 USPTO granted patent. Top assignee: Nippon Telegraph and Telephone Corporation. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ayako Hasegawa. Retrieved from https://idiyas.com/inventor/ayako-hasegawa-8vviuhg2

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Ayako Hasegawa: Innovator in Inference Technology

Introduction

Ayako Hasegawa is a prominent inventor based in Musashino, Japan. She has made significant contributions to the field of inference technology, showcasing her expertise through her innovative patent.

Latest Patents

Hasegawa holds a patent for an "Inference method, inference device, and recording medium." This invention involves acquiring similarities between a domain name serving as an analysis object and each domain name indicated in a legitimate domain name list as feature amounts. The method infers the degree to which the domain name serving as the analysis object is wrongly recognized as a legitimate domain name based on the acquired feature amounts and a training model that processes these amounts to output a degree of misrecognition.

Career Highlights

Ayako Hasegawa is associated with Nippon Telegraph and Telephone Corporation, where she applies her skills in developing advanced inference technologies. Her work has been instrumental in enhancing the accuracy of domain name recognition systems.

Collaborations

Hasegawa collaborates with talented colleagues, including Daiki Chiba and Takashi Koide, to further her research and development efforts in the field.

Conclusion

Ayako Hasegawa's innovative work in inference technology exemplifies her commitment to advancing the field. Her contributions are paving the way for more accurate and efficient domain name recognition systems.

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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