건물과 도시 시스템에서의 한계는 더 이상 센싱이나 연산이 아닙니다. 표현의 문제입니다. 기계가 추론할 수 있을 만큼 건물이 스스로를 설명할 수 있는가입니다.
제 연구는 그 지점에 있습니다. 건물정보이론과 온톨로지, 그리고 그 위에서 동작하는 AI 에이전트입니다. 그 끝에는 건물과 도시 규모에서 스스로 모델링하고 진단하며 나아가 스스로 운영하는 시스템이 있습니다.
학력
- Architectural Engineering University of Nebraska-Lincoln 2015–2018
- Architectural Engineering Sungkyunkwan University 2009–2011
- Architectural Engineering Sungkyunkwan University 2006
경력
- Associate Professor Sungkyunkwan University 2024–현재
- Assistant Professor Sungkyunkwan University 2022–2024
- Assistant Professor Incheon National University 2018–2022
- Senior Researcher, Digital Space Laboratory Virtual Builders Co. 2011–2015
수상
- Young Scientist Award ↗ Ministry of Science and ICT, Republic of Korea 2025
- SKKU Rising-Fellowship ↗ Sungkyunkwan University 2025
최근 논문
- Autonomous Process Generator (APG): decoupling process design and execution for agentic building services ↗ Advanced Engineering Informatics 2027
- DataNet: linking multi-faceted building energy datasets for effective performance analysis at scale ↗ Energy and Buildings 2026
- A knowledge-based multi-agent system using large language models for automated building energy modeling and simulation service ↗ Energy and Buildings 2026
- Urban-scale estimation of window-to-wall ratio from street view imagery via computer vision for improved building energy modeling ↗ Applied Energy 2026
- Metadata schema for virtual sensors in digital twin-enabled building systems using Brick schema ↗ Journal of Building Engineering 2026
- Ten questions concerning Large Language Models (LLMs) for building applications ↗ Building and Environment 2026