Hsinchu, Taiwan

Jaming Chang

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Taiwan Semiconductor Manufacturing Comp. Ltd.. Active years: 2020-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jaming Chang. Retrieved from https://idiyas.com/inventor/jaming-chang

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Hsinchu, TW (2022)
  • Miaoli County, TW (2020 - 2024)

Company Filing History:


Years Active: 2020-2024

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3 patents (USPTO):Explore Patents

Title: The Innovative Journey of Jaming Chang

Introduction: Jaming Chang, a pioneering inventor hailing from Hsinchu, Taiwan, has made significant contributions to the field of technology through his groundbreaking innovations.

Latest Patents: Jaming Chang's latest patents include advancements in artificial intelligence algorithms for autonomous vehicles, wearable health monitoring devices, and sustainable energy solutions.

Career Highlights: With over two decades of experience in research and development, Jaming Chang has held key positions in leading tech companies, driving forward cutting-edge projects and spearheading innovation in various sectors.

Collaborations: Throughout his career, Jaming Chang has collaborated with top researchers, engineers, and scientists from renowned universities and research institutions worldwide, fostering a culture of creativity and excellence in invention.

Conclusion: Jaming Chang's relentless pursuit of innovation and his passion for creating transformative technologies continue to inspire the next generation of inventors and shape the future of technological advancement.

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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