Haorui Yu
PhD Candidate
About
I am a PhD candidate at the University of Dundee, DJCAD, working on vision-language models for cultural understanding in heritage and arts contexts.I build VULCA, an open-source visual AI evaluation and source-backed review workflow. The project maps visual assets into structured review fields, source context, evidence cards, and owner routes so AI-assisted creative work can be inspected before reuse.My current interests sit between visual AI, creative analytics, product engineering, and human-review workflows for AI-assisted visual assets. I am especially interested in scoped product / AI engineering internships or research engineering projects where careful software, structured data, and visual reasoning meet real product workflows.Technical focus: Python, TypeScript, multimodal AI evaluation, VLM workflows, MCP, ComfyUI, JSON/Markdown artifacts, GitHub Actions, PyPI packaging, and source-safe visual review processes.Project: https://github.com/vulca-org/vulcaGitHub: https://github.com/yha9806Google Scholar: https://scholar.google.com/citations?user=7vI0D4AAAAAJ&hl=en
United Kingdom
Dundee
Information Technology & Services
Model Context Protocol, AI Evaluation, Artificial Intelligence (AI), Vision-Language Models, ComfyUI, GitHub Actions, TypeScript, Prompt Design, Python, 混合媒介艺术, 软件项目管理, AI, 数据挖掘, 艺术, 数字人文, 定量研究, 英语
Experience

PhD Candidate
University of Dundee
邓迪
PhD candidate at the University of Dundee, DJCAD, researching vision-language models for cultural understanding in heritage and arts contexts. Building VULCA, an open-source visual AI evaluation and source-backed review workflow for cultural, design, media, and creative-analytics contexts. - Maps visual assets into source context, review fields, evidence cards, and owner routes. - Works across Python, TypeScript, MCP, ComfyUI, VLM evaluation pipelines, JSON/Markdown artifacts, and source-safe visual review processes. - Maintains open-source project structure, documentation, tests, GitHub workflows, and PyPI packaging. - Focused on product-facing workflows where structured data, visual reasoning, and human review meet real creative operations.
Education

Vision-Language Models for Cultural Understanding in Heritage and Arts Contexts
PhD candidate at Duncan of Jordanstone College of Art & Design (DJCAD). Research focus: multimodal AI evaluation, cultural understanding, visual reasoning, art and heritage contexts, and source-backed visual review workflows.
Haorui Yu's Contact Information
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