tpals97@gmail.com
semini@hanyang.ac.kr
semini@hanyang.ac.kr
I'm a Ph.D. student in the Design Informatics Lab (Hanyang University), specializing in Human-Computer Interaction and Human-AI Interaction. My research focuses on developing AI-driven design support systems to enhance designers' work. I develop assessment tools that provide feedback to designers, supporting decision-making with crowd preference-based aesthetic evaluations and functional assessments. I aim to create designer-centric generative AI that addresses practical challenges in design, bridging the gap between cutting-edge AI and real-world needs. For a detailed introduction to my work, visit here.
Education
Hanyang University
Master of Science in Architecture Design
Thesis : Enhancing the Interior Design Process through Data-Driven Aesthetic Assessment Systems
Kaywon University of Art & Design
Bachelor of Arts in Interior Architectural Design
AI-driven design support systems
Data-driven methodologies for enhancing design processes
Generative design tools
[Dec, 2024] My paper accepted to the Journal of Computational Design and Engineering
[Nov 2, 2024] I received the Research Paper Excellence Award from Archives of Design Research.
[May, 2024] I attended the CHI 2024 conference in Hawaii.
Publication
Journal of Computational Design and Engineering (Accepted)
3D Generative AIs on the Design Exploration Process
Proceedings of the CHI Conference on Human Factors in Computing Systems (ACM CHI 2024)
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and color combination generation
Korea Patent Application 10-2023-0171111 (Filed on 2023.11.30.)
Design Projects
I earned my undergraduate degree in Art & Design and have participated in various design projects, which has deeply influenced my interest in spatial design and project planning.
My work is driven by a commitment to integrate Generative AI and design quantification methods into the design process from a designer's perspective.
This approach stems from my extensive experience in both theoretical and practical aspects of design, enabling me to explore innovative methods of incorporating data-driven and AI-enhanced models into creative practices.
My work is driven by a commitment to integrate Generative AI and design quantification methods into the design process from a designer's perspective.
This approach stems from my extensive experience in both theoretical and practical aspects of design, enabling me to explore innovative methods of incorporating data-driven and AI-enhanced models into creative practices.
Kaywon University of Art & Design
🥇 Awarded Outstanding Project!
video
Design Projects
(Korean Institute of Interior Design)
🥇 The Excellence Award!
Design Projects