Jerusalem, Israel

Michal Rosen-Zvi

This inventor holds 5 USPTO granted patents and 4 published patent applications. Top assignee: International Business Machines Corporation. Active years: 2011-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michal Rosen-Zvi. Retrieved from https://idiyas.com/inventor/michal-rosen-zvi

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

Calculating rank
USPTO Granted Patents = 5 

% Patents Active = 40.0

Average Co-Inventor Count = 8.1

ph-index = 2

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2011-2024

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5 patents (USPTO):Explore Patents

Title: Michal Rosen-Zvi: Pioneering Inventor from Jerusalem

Introduction: Michal Rosen-Zvi is a distinguished inventor hailing from Jerusalem, Israel, known for his groundbreaking contributions to various technological fields.

Latest Patents: Michal Rosen-Zvi holds several recent patents in the areas of artificial intelligence, machine learning, and data analytics, showcasing his innovative approach to solving complex problems.

Career Highlights: With a career spanning over two decades, Michal Rosen-Zvi has worked with leading tech companies and research institutions, consistently pushing the boundaries of innovation. His work has been instrumental in shaping the future of data-driven technologies.

Collaborations: Throughout his career, Michal Rosen-Zvi has collaborated with top researchers, engineers, and scientists from around the world, fostering a culture of innovation and knowledge sharing. His collaborative efforts have led to the development of cutting-edge solutions with real-world applications.

Conclusion: Michal Rosen-Zvi's passion for innovation and his relentless pursuit of excellence have established him as a key figure in the world of technology and invention. His contributions continue to inspire the next generation of inventors and shape the landscape of modern innovation.

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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