Zapopan, Mexico

Humberto Caballero Barragan

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Intel Corporation. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Humberto Caballero Barragan. Retrieved from https://idiyas.com/inventor/humberto-caballero-barragan

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

Calculating rank

% Patents Active = 100.0


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Humberto Caballero Barragan: Innovator in Wireless Feedback Control Systems

Introduction

Humberto Caballero Barragan is a notable inventor based in Zapopan, Mexico. He has made significant contributions to the field of wireless feedback control systems, particularly through his innovative use of neural networks.

Latest Patents

Humberto holds a patent for "Wireless feedback control loops with neural networks to predict target system states." This invention involves a receiver that captures measurements of a target system via a wireless link. The system utilizes a neural network to predict future states of the target system based on prior measurements and control signals. Additionally, it includes a transmitter that sends updated control signals back to the target system through a second wireless link.

Career Highlights

Humberto is currently employed at Intel Corporation, where he applies his expertise in developing advanced technologies. His work focuses on enhancing the efficiency and accuracy of wireless control systems, which are crucial in various applications.

Collaborations

Humberto has collaborated with talented colleagues, including David Gómez Gutiérrez and Linda Patricia Osuna Ibarra. Their combined efforts contribute to the innovative projects at Intel Corporation.

Conclusion

Humberto Caballero Barragan is a distinguished inventor whose work in wireless feedback control systems showcases the potential of neural networks in predicting system states. His contributions continue to influence advancements in technology and control systems.

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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