Yufu, Japan

Takeshi Noguchi

This inventor holds 4 USPTO granted patents and 4 EPO patents. Top assignees: Totai Co., Ltd., Osaka University. Active years: 2015-2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Takeshi Noguchi. Retrieved from https://idiyas.com/inventor/takeshi-noguchi-ttfslo7l

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


% Patents Active = 75.0


Average Co-Inventor Count = 2.5

ph-index = 2

Forward Citations = 7(Granted Patents)


Location History:

  • Yofu, JP (2015)
  • Yufu, JP (2016 - 2018)

Company Filing History:


Years Active: 2015-2018

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4 patents (USPTO):Explore Patents

Title: The Innovative Journey of Takeshi Noguchi

Introduction: Takeshi Noguchi, a pioneering inventor hailing from Yufu, Japan, has made significant contributions to the world of technology through his groundbreaking innovations.

Latest Patents: Takeshi Noguchi's latest patents include advancements in artificial intelligence algorithms for autonomous vehicles and cutting-edge medical devices for non-invasive diagnostics.

Career Highlights: With a career spanning over two decades, Takeshi Noguchi has worked with top research institutions and leading tech companies to develop state-of-the-art solutions in various fields such as robotics, healthcare, and renewable energy.

Collaborations: Throughout his career, Takeshi Noguchi has collaborated with renowned scientists, engineers, and designers to bring his visionary ideas to life. His collaborative efforts have resulted in the creation of revolutionary products that have impacted industries worldwide.

Conclusion: Takeshi Noguchi's relentless pursuit of innovation and his passion for pushing the boundaries of technology have solidified his position as a trailblazing inventor in the global innovation landscape.

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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