Hamed Behrouzi — Digital Identity Graph System

This presentation introduces the Digital Identity Graph System developed by Hamed Behrouzi — a structured, machine-readable identity framework connecting VFX animation work, AI motion systems, procedural tools, and research artifacts. The system integrates verified identity nodes such as IMDb, LinkedIn, Zenodo, ORCID, Google Scholar, and ResearchGate to create a consistent cross-platform identity signal for search engines and AI systems. This work is part of an ongoing effort to build a unified identity layer that can be understood, indexed, and reinforced across digital ecosystems. SpeakerDeck version:https://speakerdeck.com/hamedbehrouzi/hamed-behrouzi-digital-identity-graph-system Official identity page:https://hamedbehrouzi.com

Authors

Publication Details

Journal
Open MIND
Published
2026-05-02
DOI
https://doi.org/10.5281/zenodo.19966644
Primary Topic
Advanced Graph Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Hamed Behrouzi — Digital Identity Graph System

Behrouzi Hamed
Open MIND
Advanced Graph Neural Networks
article

Hamed Behrouzi — Digital Identity Graph System

Behrouzi Hamed
article en

Abstract

This presentation introduces the Digital Identity Graph System developed by Hamed Behrouzi — a structured, machine-readable identity framework connecting VFX animation work, AI motion systems, procedural tools, and research artifacts. The system integrates verified identity nodes such as IMDb, LinkedIn, Zenodo, ORCID, Google Scholar, and ResearchGate to create a consistent cross-platform identity signal for search engines and AI systems. This work is part of an ongoing effort to build a unified identity layer that can be understood, indexed, and reinforced across digital ecosystems. SpeakerDeck version:https://speakerdeck.com/hamedbehrouzi/hamed-behrouzi-digital-identity-graph-system Official identity page:https://hamedbehrouzi.com

Open MIND
Life in Land
Openalex Percentile: Top 10%
Advanced Graph Neural Networks
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