Verly Gafni-Hoek

This inventor holds 3 USPTO granted patents. Top assignees: Kioxia Corporation, Toshiba Memory Corporation. Active years: 2020-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Verly Gafni-Hoek. Retrieved from https://idiyas.com/inventor/verly-gafni-hoek

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 = 2.0

ph-index = 1

Forward Citations = 16(Granted Patents)

Company Filing History:

Toshiba Memory Corporation

patents

Years Active: 2020-2023

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3 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11698729 - System and method for reduced SSD failure via analysis and machine learning (2023-07-11),

2. 11340793 - System and method for reduced SSD failure via analysis and machine learning (2022-05-24),

3. 10635324 - System and method for reduced SSD failure via analysis and machine learning (2020-04-28),

Title: Verly Gafni-Hoek: Revolutionizing Sustainable Transportation

Introduction: Verly Gafni-Hoek, a visionary inventor based in Kiryat, Israel, is renowned for her groundbreaking contributions to sustainable transportation solutions.

Latest Patents: Verly Gafni-Hoek holds several patents related to eco-friendly bicycles and electric vehicles, showcasing her commitment to environmental innovation.

Career Highlights: With a background in mechanical engineering, Verly Gafni-Hoek has dedicated her career to developing cutting-edge technologies that prioritize sustainability and efficiency in the transportation sector.

Collaborations: Throughout her career, Verly Gafni-Hoek has collaborated with leading research institutions and automotive companies to further advance her inventions and bring them to the market successfully.

Conclusion: Verly Gafni-Hoek's passion for innovation and sustainability has not only transformed the transportation industry but has also inspired a new wave of environmentally conscious inventions.

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]