Prades-Le-Lez, France

Aïda Todri-Sanial

This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignees: Centre National De La Recherche Scientifique, Universitè De Montpellier. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aïda Todri-Sanial. Retrieved from https://idiyas.com/inventor/aida-todri-sanial

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Aïda Todri-Sanial: Inventor in Image Pattern Recognition.

Introduction

Aïda Todri-Sanial is an inventor associated with Prades-Le-Lez, France. Her patent work includes a method for recognizing patterns in images using an oscillatory neuron network.

Latest Patents

The provided information lists 1 patent for Todri-Sanial: “Method for Recognizing a Pattern in an Image and Associated Devices.” The invention describes training an oscillatory neuron network to produce a pattern when given an image. Its circuitry uses oscillators connected through interconnections that include coupling resistances. The oscillators are coupled using sub-harmonic injection and encode the output through their relative phase differences. During training, the coupling resistance values are learned using Hebbian learning rules. The trained network is then used to recognize patterns in images, with at least one of the training or operating phases implemented by computer.

Career Highlights

The supplied career information associates Todri-Sanial with the Centre National de la Recherche Scientifique and the University of Montpellier.

Collaborations

Corentin Delacour is identified as a coworker associated with Todri-Sanial’s work.

Conclusion

Aïda Todri-Sanial’s listed patent applies oscillatory neural-network circuitry and Hebbian learning to image pattern recognition, reflecting her work in computational and electronic 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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