Year Coordinator
- Coordinate timetables and course arrangements
- Communicate with Edinburgh academic staff
- Archive briefs, teaching materials and records
Academic portfolio · 2026
Human-centred AIgrounded in creative practice.
I research and prototype AI-enabled tools and workflows that support creative agency, ground generation in cultural knowledge, and make emerging technologies learnable.
Juexiao (Shaw) Qin / 秦觉晓 Lecturer · Interaction Design Researcher · Design Educator Donghua University, Shanghai
Connected practice Research · prototyping · teaching
Image 1 of 6: Mapping intelligent support for drawing
Research trajectory
From understanding creators to grounding generative systems.
One research programme, developed across three connected scales.
01
Supporting Creative Agency
How can AI understand evolving intentions and support drawing without narrowing authorship or replacing creative judgement?
Creator research · interaction prototypes · evaluationView case
02
Teaching AI to Read Historical Form
Domain curation and fine-tuning improve chronological control of historical qipao silhouettes—and expose the limits of image-only learning.
188-image corpus · 3 LoRAs · model evaluation by 12 domain expertsView case
03
Latent Heritage: Industrial Muse
Latent Heritage moves beyond motif by grounding open-source generative workflows in functional craft grammar and human curation.
4 channels · material/LoRA · structure/grammar sketch · form/spatial constraint · prompt/structured briefView case
Teaching and transfer
Open systems become useful when learners can inspect, adapt and judge them.
I design learning environments in which non-technical design students acquire emerging technologies through purposeful making, real projects and reflective evaluation.
TEACHING · 01 VISUAL MERCHANDISING
Technology-enabled Visual Merchandising
32 Year-2 students · 5 teams · Donghua University × Coach
Meaningful problem → design development → prototyping and technical guidance TEACHING · 02 AIGC DESIGN THINKINGAIGC Design Thinking
32 hours · 10 design undergraduates · Course led by Shaw Qin
Tool literacy → model selection → model fine-tuning → controllable generation01 · Academic profile
Lecturer, interaction design researcher and design educator.
Shaw Qin is a lecturer at Donghua University working across human–AI creative agency, culturally grounded generative systems and technology-enabled design education.
Her practice connects creator research, interaction prototyping, curated datasets, LoRA model development, open-source generative workflows and research-led teaching.
CurrentLecturer, Donghua University
EducationTongji University — BSc Computer Science · MA Design · PhD Design
International
Bauhaus-Universität Weimarinternational academic experience
University of Edinburghjoint-education programme and teaching collaboration
HAW Hamburgresearch collaboration
02 · Programme contribution
Connecting programme coordination with studio-level teaching support.
I work at Shanghai International College of Fashion and Innovation (SCF), College of Fashion and Design, Donghua University, a joint-education programme between Donghua University and the University of Edinburgh. I connect academic coordination with bilingual, studio-level teaching support.
Bilingual studio communication, class support and continuity across the joint curriculum.
Four-year programme support
Year 1
AutumnBeyond the Frame
SpringPop-up Shop Design
Year 2
AutumnMaterial Reimagined Project
SpringSmall Branded Space Design
Year 3
AutumnAtelier Design
Spring—
Year 4
AutumnGraduation Project: Outline Design
SpringGraduation Project: Detail Design
Fashion Interior Design BFA · SCF
Year 1 · Autumn
Digital Design Studio
48 hoursYear 2 · Spring
Professional Investigation
16 hoursYear 3 · Autumn
From Trend to Design Idea
32 hours · Industry-expert collaborationAcademic ServiceCollege 10th-anniversary exhibition: exhibit selection, information review, installation and liaison with the exhibition designer/curator.
03 · Forward positioning
Future Contribution
I aim to connect research, design education and emerging technologies while keeping disciplinary judgement, making and human agency at the centre.
Guiding Question
How can design education preserve core capabilities while preparing students to work critically with emerging technologies?
Human agency, cultural grounding and responsible technology
- Human–AI creative agency
- Culturally grounded generative systems
- Responsible emerging technologies
- Open and traceable research workflows
Develop core capability alongside technological fluency
- Core design skills and disciplinary judgement
- Critical and responsible AI literacy
- Assessment that distinguishes independent capability from tool-assisted work
- Creative coding, physical computing and interaction prototyping
- Research-led project teaching
Connect disciplines, institutions and modes of making
- Design × computer science
- Physical computing and interactive systems
- International research and teaching
- Cultural and industry collaboration
Publications
Research made traceable.
Peer-reviewed publications
- 2024
AI for Supporting the Freedom of Drawing. Machine Intelligence Research, 21(1), 63–88.
DOI ↗ - 2023
A State-of-Art Review on Intelligent Systems for Drawing Assisting. HCII, LNCS 14015.
DOI ↗ - 2022
Give Me a Hand: A Scene-Fit Hand Posture Drawing Aid. AI in HCI, LNCS 13336.
DOI ↗ - 2021
Deep Learning-Based Creative Intention Understanding and Color Suggestions for Illustration. AISC 1213, 90–96.
DOI ↗ - 2020
Review of Human–Intelligent System Collaboration. Packaging Engineering, 41(18), 1–11. In Chinese.
DOI ↗
Manuscript in submission
- 2026
Digital Reconstruction of Historical Qipao Silhouettes Using Fine-Tuned Diffusion Models.
Case ↗