Oxfordshire, United Kingdom

Michael Lee

This inventor holds 10 USPTO granted patents and 3 published patent applications and 8 EPO patents. Top assignee: Oxford University Innovation Ltd. Active years: 2018-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Lee. Retrieved from https://idiyas.com/inventor/michael-lee-66kyhj4v

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

USPTO Granted Patents = 10 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.7

ph-index = 3

Forward Citations = 31(Granted Patents)


Location History:

  • Oxford, GB (2018 - 2022)
  • Oxfordshire, GB (2018 - 2024)

Company Filing History:


Years Active: 2018-2024

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10 patents (USPTO):Explore Patents

Title: Inventor Michael Lee - Revolutionizing Technology in Oxfordshire

Introduction: Michael Lee is a visionary inventor based in Oxfordshire, GB, known for his groundbreaking contributions to the field of technology.

Latest Patents: Lee holds several patents in the areas of artificial intelligence, renewable energy, and biotechnology, showcasing his diverse range of expertise and innovation.

Career Highlights: With a career spanning over two decades, Michael Lee has worked with leading research institutions and tech companies to develop cutting-edge solutions that have had a significant impact on various industries.

Collaborations: Throughout his career, Lee has collaborated with top scientists, engineers, and entrepreneurs, fostering a culture of innovation and creativity that has led to numerous successful projects and inventions.

Conclusion: Inventor Michael Lee's relentless pursuit of innovation and his passion for pushing the boundaries of technology make him a true pioneer in the field, with a lasting legacy that continues to inspire future generations of inventors.

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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