
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
Technical Animation, Knowledge Graph, Procedural Animation, Identity Systems, Digital Identity Graph, VFX Animation, AI Motion Systems
Technical Animation, Knowledge Graph, Procedural Animation, Identity Systems, Digital Identity Graph, VFX Animation, AI Motion Systems
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
