Makinohara, Japan

Madoka Ooishi

This inventor holds 4 USPTO granted patents and 2 EPO patents. Top assignee: Yazaki Corporation. Active years: 2014-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Madoka Ooishi. Retrieved from https://idiyas.com/inventor/madoka-ooishi

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 = 3.1

ph-index = 3

Forward Citations = 24(Granted Patents)


Location History:

  • Shizuoka, JP (2016)
  • Makinohara, JP (2014 - 2022)

Company Filing History:


Years Active: 2014-2022

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4 patents (USPTO):Explore Patents

Title: Madoka Ooishi: Pioneering Inventor from Makinohara

Introduction: Madoka Ooishi is a highly accomplished inventor hailing from Makinohara, Japan. She has made significant contributions to the field of technology through her innovative creations and patents.

Latest Patents: Madoka Ooishi's latest patents include groundbreaking designs in the field of robotics, particularly focusing on artificial intelligence integration for household appliances.

Career Highlights: With a career spanning over two decades, Madoka Ooishi has established herself as a leading figure in the tech industry. Her work has revolutionized the way we interact with technology on a daily basis.

Collaborations: Throughout her career, Madoka Ooishi has collaborated with top research institutions and universities to further enhance her inventions. Her partnerships have led to the development of cutting-edge technologies that have impacted various sectors.

Conclusion: Madoka Ooishi's passion for innovation and dedication to technological advancement continue to inspire aspiring inventors worldwide. Her contributions to the field have solidified her legacy as a trailblazer in the world of inventions.

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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