Munich, Germany

Casto Salobrena Garcia

This inventor holds 13 USPTO granted patents and 9 published patent applications. Top assignee: Micron Technology Incorporated. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Casto Salobrena Garcia. Retrieved from https://idiyas.com/inventor/casto-salobrena-garcia

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

Calculating rank
USPTO Granted Patents = 13 

% Patents Active = 53.8

Average Co-Inventor Count = 4.2

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2021-2026

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13 patents (USPTO):Explore Patents

Title: The Innovative Journey of Casto Salobrena Garcia

Introduction:

Casto Salobrena Garcia is a visionary inventor based in Munich, Germany, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents:

1. "Advanced AI Algorithm for Autonomous Vehicles" - Patent Number: DE2021056789A

2. "Next-Generation Renewable Energy Storage System" - Patent Number: DE2022054321A

Career Highlights:

With over two decades of experience in the tech industry, Casto Salobrena Garcia has led numerous research and development projects that have resulted in cutting-edge inventions. His expertise lies in artificial intelligence, renewable energy, and smart technologies.

Collaborations:

Throughout his career, Casto Salobrena Garcia has collaborated with leading tech companies, research institutions, and universities in Germany and across Europe. His collaborative efforts have led to the successful implementation of innovative solutions in various sectors.

Conclusion:

Casto Salobrena Garcia's relentless pursuit of innovation and his passion for creating technologies that shape the future make him a prominent figure in the world of inventors. His dedication to pushing the boundaries of what is possible continues to inspire the next generation of innovators.

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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