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    <title>Hamed Behrouzi</title>
    <description>Hamed Behrouzi is a Lead &amp; Senior Technical Animator at Scanline VFX (Netflix), based in Seoul.

He works at the intersection of VFX animation, AI-driven motion systems, and procedural animation tools, developing production-ready systems for large-scale film and series projects.

In parallel, he develops a Digital Identity Graph framework—an ongoing research system that models professional identity as a structured, verifiable, and machine-readable entity across platforms such as IMDb, ORCID, Zenodo, and search engines.

His work bridges animation, AI, and identity systems, positioning him as a hybrid artist-engineer working on both production and research layers.</description>
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    <lastBuildDate>2026-08-24 04:23:26 -0400</lastBuildDate>
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      <title>Hamed Behrouzi — Digital Identity Graph System</title>
      <description>This presentation introduces the Digital Identity Graph System of Hamed Behrouzi — a structured, machine-readable identity framework connecting VFX animation work, AI motion systems, procedural animation tools, and research artifacts.

It links verified nodes such as IMDb, LinkedIn, Zenodo, ORCID, Google Scholar, ResearchGate, and official identity pages to create a consistent cross-platform identity signal for search engines and AI systems.

Explore the full identity graph:
https://hamedbehrouzi.com</description>
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      <content:encoded>This presentation introduces the Digital Identity Graph System of Hamed Behrouzi — a structured, machine-readable identity framework connecting VFX animation work, AI motion systems, procedural animation tools, and research artifacts.

It links verified nodes such as IMDb, LinkedIn, Zenodo, ORCID, Google Scholar, ResearchGate, and official identity pages to create a consistent cross-platform identity signal for search engines and AI systems.

Explore the full identity graph:
https://hamedbehrouzi.com</content:encoded>
      <pubDate>Mon, 24 Aug 2026 00:00:00 -0400</pubDate>
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