Vitry Sur Seine, France

Alireza Moshayedi

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Smiths Detection France S.a.s.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alireza Moshayedi. Retrieved from https://idiyas.com/inventor/alireza-moshayedi

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

Calculating rank
USPTO Granted Patents = 1 

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: Alireza Moshayedi: Inventor of an Image Retrieval System

Introduction

Alireza Moshayedi is an inventor based in Vitry-sur-Seine, France. His patent work includes an image retrieval system designed to help identify and rank images of cargo captured using penetrating radiation. He is associated with Smiths Detection France S.A.S.

Latest Patents

Moshayedi’s listed patent, “Image Retrieval System,” describes a method for training a system to rank cargo images in response to a query image. The method uses annotated training images, each labeled with the type of cargo shown. A deep-learning algorithm processes the images through a feature-extraction convolutional neural network and an aggregated generalized mean pooling layer that incorporates spatial information.

The system is intended to retrieve relevant images from a dataset, supporting the analysis of cargo imagery. Moshayedi is credited with 1 patent.

Career Highlights

Moshayedi’s listed invention applies deep learning and image retrieval techniques to cargo inspection. His work is associated with Smiths Detection France S.A.S., a company focused on detection technologies.

Collaborations

Moshayedi’s listed coworkers include Othmane Marfoq and Najib Gadi. Their shared association with Smiths Detection France S.A.S. provides context for the professional environment connected to his patent work.

Conclusion

Alireza Moshayedi’s patent describes a deep-learning approach to retrieving and ranking cargo images, reflecting an application of image analysis to inspection 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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