Taipei, Taiwan

Yuan-Fu Shao

This inventor holds 5 USPTO granted patents. Top assignee: Taiwan Semiconductor Manufacturing Comp. Ltd.. Active years: 2015-2017.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yuan-Fu Shao. Retrieved from https://idiyas.com/inventor/yuan-fu-shao

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


% Patents Active = 20.0

Average Co-Inventor Count = 6.0

ph-index = 3

Forward Citations = 20(Granted Patents)


Company Filing History:


Years Active: 2015-2017

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5 patents (USPTO):Explore Patents

Title: The Innovative Journey of Yuan-Fu Shao

Introduction: Yuan-Fu Shao, a distinguished inventor hailing from Taipei, Taiwan, has made significant contributions to the field of technology through his groundbreaking innovations and patents.

Latest Patents: Yuan-Fu Shao's latest patents include advancements in artificial intelligence algorithms for autonomous vehicles, smart home technology for energy efficiency, and wearable health monitoring devices.

Career Highlights: With a career spanning over two decades, Yuan-Fu Shao has worked with leading tech companies in Taiwan and Silicon Valley, holding key positions in research and development departments. His expertise in machine learning and IoT technologies has led to the successful commercialization of several products.

Collaborations: Yuan-Fu Shao has collaborated with renowned universities and research institutions worldwide, fostering a culture of innovation and knowledge sharing. His partnerships have resulted in the development of cutting-edge solutions for various industries.

Conclusion: Yuan-Fu Shao's relentless pursuit of innovation and his passion for creating technology that enhances people's lives have solidified his reputation as a visionary inventor in the global tech community.

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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