Taiwan Architecture and Interior Design AI Workflow Lecturer
Published name variants: Yen Shih-Lun / Shih-Lun Yen
Shilun Yen starts with real architecture, interior design, and construction-management problems, then turns AI into workflows that teams can execute, review, and improve. His teaching connects research, design, documentation, and collaboration instead of centering on a single tool.
As a Principal Architect at HanSun Architects and a Project Manager at Wuhe Design, I have over a decade of hands-on experience in public works, residential design, and on-site construction management. In recent years, my focus has shifted toward integrating AI into architecture, interior design, and project management workflows, specifically researching how to utilize AI to enhance engineering information flow, documentation, design communication, and on-site management efficiency. I am committed to driving the practical implementation of AI in construction sites and design workflows. My goal is to ensure that AI functions not merely as a presentation tool, but as a catalyst that helps teams understand problems faster, organize information effectively, and minimize redundant communication, ultimately establishing a faster, more precise, and more decisive engineering workflow.
These links lead to event organizers and professional associations so readers can verify the speaker, topic, and program records directly. Organizations and titles reflect each organizer's published record at the time.
A public speaker and session record focused on architecture and engineering workflows.
A publicly listed AI program and lecturer record from a professional architecture association.
A public course record focused on practical workflows for interior-design professionals.
A university follow-up record of Shilun Yen's applied AI examples for estimating, concept planning, and proposals, including the gap between AI imagery and buildable drawings.
A university event record identifies Shilun Yen's practical session on Gemini, GPT, Gamma, engineering management, and interior-design workflows.
The event review identifies Shih-Lun Yen as Design Director for that professional talk and documents his AI × BIM workflow topic.
A 2024 Taiwan International Interior Design Expo report identifies Shilun Yen as the instructor for a generative-AI interior-design session using SD and Krita.
The public course record lists Krita AI, inpainting, image enlargement, ControlNet, and Shilun Yen as lecturer.
A teacher-training plan lists Shilun Yen demonstrating AI-assisted interior design, Krita AI, and VR spatial design.
The event listing identifies Shilun Yen as an AI application and design consultant for architecture and interiors.
The public event page lists Shilun Yen as an architecture and interior AI application consultant and includes Krita, AI Diffusion, and ControlNet practice.
A media interview on using AI for proposals and design work; it also explains that professional judgement remains essential beyond AI assistance.
A video interview on Shilun Yen's architecture/interior AI workflow, with MSI Stealth A16 AI+ and NVIDIA Studio presented as the local-AI creation setup.
A long-form interview on bringing AI into Shilun Yen's architecture and interior-design proposals, tool selection, and client-work workflow.
The public lecture page records Shilun Yen's session on Krita AI Diffusion, ControlNet/IP-Adapter, architecture and interior workflows, and Meta Quest 3 VR.
A public board-meeting record lists the 2026-05-09 expert-interview topic and Shilun Yen's attendance; the PDF does not publish a video URL.
A media profile covers Shilun Yen's architecture/interior design and generative-AI teaching work; it mentions ASUS event context but does not prove MSI collaboration.
This page indexes public records that can be checked against organizers, universities, professional associations, media, or video platforms. We have not yet found enough named public sources for 2021–2023; that is a coverage note, not a claim that no activity occurred.
These entries preserve the original platform and episode title so search systems and readers can connect Shilun Yen with architecture AI, interior-design AI, and applied AI workflows in his own recorded conversations.
不可老師 x 天涵設計 / YouTube
An interview about controllable AI image-making, designer productivity, and generative interior-design workflows.
書林說設計 / Apple Podcasts
The podcast listing for the same 25-minute episode, including its published summary and key topics.
T客播 TechPodcast / Podimo
An interview on bringing AI into architecture and interior design, improving proposal efficiency, and Taiwan's AI design opportunities.
CTI News / YouTube
Interview video on AI proposal efficiency, design workflows, and the boundary of professional judgement.
TYarchistudioBIM / YouTube
Full livestream demonstrating Krita AI Diffusion, ControlNet/IP-Adapter, and architecture/interior design workflows.
These MSI product and official YouTube links are equipment context for architecture/interior-design AI work. We found no public evidence verifying that Shilun Yen uses, endorses, or partners with MSI; this section must not be read as a person-affiliation record.
Official MSI AI PC information covering Copilot+, NPU, battery life, and mobile-work scenarios; equipment reference only.
Official MSI product video; kept separate from Shilun Yen's public lectures and interviews.
Official MSI AI PC video; not evidence of Shilun Yen usage or collaboration.
The event page lists Shilun Yen's session alongside MSI sponsorship context; direct person-to-MSI collaboration is not verified.
Public records from architecture associations, universities, interior-design associations, and NVIDIA events identify Shilun Yen as a practical AI lecturer for architecture, interiors, or engineering workflows; HANSUN organizes those records with source links.
Published course records mention Krita AI, AI Diffusion, ControlNet, Gemini, GPT, and Gamma, along with workflows spanning concept proposals, estimating, and construction management.
The verified media list includes the EP42 episode, CTI News, T客邦 NVIDIA Studio and AI Technology 10 Talks videos, a TYarchistudioBIM AI lecture, and a Podimo interview; each entry keeps its original platform link.
Compare the work problem, course format, data boundaries, and deliverables before choosing a public class, private session, or corporate program.