Al-Ahsa, Saudi Arabia

Faten Mouldi Derouez

This inventor holds 1 USPTO granted patent. Top assignee: King Faisal University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Faten Mouldi Derouez. Retrieved from https://idiyas.com/inventor/faten-mouldi-derouez

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Faten Mouldi Derouez: Innovator in AI-Powered Vehicle Technology

Introduction

Faten Mouldi Derouez is a pioneering inventor based in Alhasa, Saudi Arabia. She has made significant contributions to the field of automotive technology, particularly through her innovative patent related to artificial intelligence.

Latest Patents

Faten holds a patent for an AI-powered vehicle system. This system includes a primary cloud-based data repository, an internal combustion engine, a catalytic converter, a primary data acquisition unit, an electronic control unit (ECU), a telematics control unit (TCU), and a primary artificial intelligence module within a primary cloud server. Additionally, it features a secondary cloud server configured to receive and transmit trained engine data and oxygen amount data from the primary AI module to the ECU via the TCU. This technology allows the ECU to adjust engine parameters effectively.

Career Highlights

Faten Mouldi Derouez is affiliated with King Faisal University, where she contributes her expertise in engineering and technology. Her work focuses on integrating AI with traditional automotive systems to enhance performance and efficiency.

Collaborations

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Conclusion

Faten Mouldi Derouez is a remarkable inventor whose work in AI-powered vehicle technology showcases her innovative spirit and dedication to advancing automotive engineering.

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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