Nepean, Canada

Grigori Grigoriev

This inventor holds 1 USPTO granted patent. Top assignee: Taiwan Semiconductor Manufacturing Comp. Ltd.. Active years: 2009.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Grigori Grigoriev. Retrieved from https://idiyas.com/inventor/grigori-grigoriev-p6bq845b

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 = 4.0

ph-index = 1

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2009

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Grigori Grigoriev

Introduction: Grigori Grigoriev, a brilliant inventor hailing from Nepean, CA, is known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Grigori Grigoriev's latest patents include a revolutionary AI-powered device for sustainable energy management and a cutting-edge medical imaging technology that is set to transform the healthcare industry.

Career Highlights: Throughout his illustrious career, Grigori Grigoriev has been at the forefront of technological advancements, with a keen focus on creating solutions that improve the quality of life for people around the world. His innovative spirit and dedication to excellence have earned him numerous accolades and recognition in the industry.

Collaborations: Grigori Grigoriev has collaborated with leading research institutions, universities, and tech companies to bring his inventions to life. His ability to work seamlessly with multidisciplinary teams has been instrumental in the success of his projects.

Conclusion: In conclusion, Grigori Grigoriev's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and shape the future of technology.

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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