Information-Based Design Lab

전산+디자인 융합을 통한 다양한 도메인의 응용 연구에 관심이 있는 석/박사 학생을 모집합니다. If you are interested in our lab, please do not hesitate to contact us! @6/18/2022 Our Research Interests Computational Design, AI in Design, HCI, Smart Cities Your Background BS in Computer science or related engineering fields (전공)

2021.12.~ We research computational patterns of spatial interactions/diffusions in Metaverses!

About Us

See our research interests, contact, and collaborators

Congratulations to Professor Ji-Hyun Lee on Receiving the KAIST Education Innovation Award

Happy Teacher’s Day 2026

Celebrating Teacher’s Day with Professor

Dr. Kyung Hoon Hyun has been selected as a member of the Young Korean Academy of Science and Technology (YKAST)!

Gibbeum Lee selected as a KAIST Jang Young-Sil Postdoctoral Fellow

Joins our lab as a postdoc, supported by this fellowship.

Congratulations to Dr. Tse-Wei Hsu on his new faculty appointment at NYUST!

Celebrating 20 Years of Culture Technology: A Heartfelt Reunion

This Teachers’ Day, we surprised our advisor, Professor Ji-Hyun Lee, with a small celebration.
As we handed the cake to her, she smiled and shared:
Every year, I still feel like this day is for my teachers… I didn’t realize I’ve become a teacher myself.
This moment felt even more special as Professor Lee recently heard that some of her former students plan to return to visit her for the 20th anniversary of the Culture Technology department (CTescape).
Thank you, Professor Lee, for the countless ways you guide, support, and inspire us. We’re proud to be part of your story.
Happy Teachers’ Day! 🌷
#IBDlab #KAIST 

Happy Teacher’s Day

Celebrating Teacher’s Day with Professor

Prof. Andrew Li for Shape Grammar Class Preparation

Congratulations to Dr. Taeha Yi on Becoming a Professor at Gachon University

생성 AI 기반 디자인의 해석 및 평가기술 개발

한국산업기술평가관리원(KEIT)

Development of Customized Generative Housing Design System: Integrating Cased-Based Reasoning and Shape Grammar

한국연구재단(NRF)

Building a GIS Framework for Real-Space Metaverse: AI-Based Prediction of Spatial Information Use and Efficient Maintenance
실공간 기반 메타버스의 GIS 구축방안: AI 기반의 공간정보 사용 예측 및 효율적 유지보수 방법 개발 연구
2022/08 → 2023/07  한국국토정보공사 (LX)
Project Introduction
This project addresses the challenge of managing spatial information in Digital Twin (DT)–based metaverse environments. By integrating real-world spatial information with user behavioral data collected in virtual environments, we developed a framework for efficient spatial management and personalized user experiences.
Using a large-scale Minecraft testbed of Daejeon city, we collected more than 750,000 user logs and survey responses from 232 participants. Based on this dataset, we created methods for graph-based spatial importance analysis and applied Graph Neural Networks (GNNs) to detect communities and predict priority areas for spatial information maintenance.
Achievements

Building a Metaverse GIS based on Spatial Information and User Perception

한국국토정보공사 (LX)

Placemaking based on Augmented Proximity
Like the term Urban Assemblage, cities include creating local contexts through diverse networks and relationships created by human and non-human elements.The emergence of Urban Assemblage in early 2010 is changing the flow of urban research, emphasizing the importance of network understanding in cities. Therefore, this study aims to analyze the regional structure of Daejeon from the perspective of ‘visiting’ and ‘education’ through the understanding of residents in different contexts and environments. In addition, the local value is improved by solving the limitations of physical proximity through metaverse-based virtual proximity. Augmented proximity, a concept that unifies physical and virtual proximity, is important here. With the continuing increase in online communications, virtual proximity as well as physical proximity has become a common way to connect individuals. Virtual proximity refers to the psychological closeness felt by people based on their participation in a virtual space. Hence, augmenting physical proximity with virtual types is believed to enhance connectivity within social networks, and applications that consider both types have the capability to provide new forms of interaction. In the end, we plan to provide a metaverse-based solution that can actually help users along with SKT data analysis by applying the augmented proximity concept to cities.
Publications
Understanding service connectivity based on digital serendipity: An actor-network approach
Augmented proximity: Integration of physical and virtual proximity to enhance network connectivity

Placemaking based on Augmented Proximity

한국연구재단 (NRF)