Rueil-Malmaison, France

Mathieu Dubloc

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: IFP Energies Nouvelles. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mathieu Dubloc. Retrieved from https://idiyas.com/inventor/mathieu-dubloc

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 = 9.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Mathieu Dubloc: Inventor of a Regenerable Microfibre Filtration System.

Introduction

Mathieu Dubloc is an inventor based in Rueil-Malmaison, France, and is associated with IFP Energies Nouvelles. His patent work addresses the filtration of microfibres from liquid effluent produced by textile treatment devices.

Latest Patents

Dubloc is named on 1 patent: “Regenerable System and Method for Filtering Microfibres from a Waste Liquid.” The invention describes a system that passes liquid effluent through a granular medium to capture microfibres. It also provides for discharging the filtered liquid and regenerating the granular medium through fluidization. The patent further describes a method for filtering microfibres using this system.

Career Highlights

Dubloc’s listed invention focuses on a regenerable filtration approach for textile wastewater. By enabling the granular medium to be regenerated, the system is designed to support repeated filtration cycles.

Collaborations

Dubloc’s listed coworkers include Jeremy Maillet and Christophe Reux. His company affiliation is IFP Energies Nouvelles.

Conclusion

Mathieu Dubloc’s patent presents a regenerable system for removing microfibres from textile-treatment effluent, reflecting his contribution to filtration technology.

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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