Integrated PhD Student

Kyoungjin received her B.Arch. degree from Myongji University and worked in architectural practice for five years at Kunwon Architects. She later obtained her licensed architect qualification. Drawing on her professional experience in residential and mixed-use projects, her research interests focus on building-scale energy and carbon optimization through BIM, multi-source data fusion, and performance-based simulation.

Master’s Student

Noheon received his bachelor's degree in Architectural Engineering from Yonsei University. Currently a member of the DXD Lab, his research focuses on architectural program optimization through the integration of AI models. Beyond conventional methodologies, he aims to establish data-driven decision-making systems via machine learning to maximize architectural efficiency and contribute to the development of future-oriented architectural environments through innovative technology.

Master’s Student

Minjae Kwon holds a double major in Atmospheric Sciences and Architectural Engineering from Yonsei University. His research integrates climate science and data-driven methods to advance urban resilience. As a lead researcher, he manages an AI-driven multimodal project for heritage structural health monitoring. Furthermore, his primary academic passion lies in urban climate action, actively contributing to the Korean Building Inventory (KoBI) for performance-driven decarbonization strategies.

Master's Student

Hyeyeong received her bachelor’s degree in Sustainable Architecture Convergence from Hanyang University ERICA and has two years of experience in sustainable building consulting. Her research focuses on AI-based building energy analysis and optimization. She aims to integrate AI and building performance simulation to improve energy efficiency and support sustainable building operation.

Undergraduate Intern

I am an undergraduate student in the Department of Architecture at Yonsei University, exploring the future of architecture through the lens of digital twin technology. I believe that digital twins will open new paradigms in architectural design and urban planning, and I am particularly interested in creating built environments that bridge the virtual and physical realms. Through learning the possibilities created by the convergence of physical space and digital data, I aspire to develop sustainable and user-centered architecture through data-driven, smart spatial design.

Undergraduate Intern

Yujin is an undergraduate researcher in the DXD Lab, with research interests in building environmental engineering and data science. She is interested in exploring how emerging technologies can be integrated into the building environment field to address complex engineering challenges. She is working on RAG to optimize LLMs for building environmental applications. Her goal is to explore the potential of emerging technologies and contribute to the development of more efficient building systems.

Undergraduate Intern

Chaeyoon is an undergraduate researcher exploring energy optimization and artificial intelligence to design smarter, high-performance building systems. Her work centers on leveraging AI-driven approaches to enhance building energy efficiency, optimize battery utilization, and accelerate the adoption of sustainable technologies.

Undergraduate Intern

Seojin is an undergraduate researcher in the DXD Lab, with an interest in exploring how digital technologies can support architectural design and building performance. She is particularly interested in applying digital twin technologies and simulation to evaluate, refine, and improve architectural environments. Her research interests also include energy-efficient design, the connection between digital and physical spaces, and data-driven approaches to architectural design and consulting. She hopes to explore how data and computational technologies can support more informed and responsive design decisions.

Undergraduate Intern

Soohyun is an undergraduate researcher in DXD lab, focusing on optimizing building energy management based on precision occupancy tracking, specifically by standardizing variables related to real-time occupancy dynamics within spaces. Beyond conventional static energy simulation methodologies, he aims to develop and establish data-driven, dynamic operational systems to maximize building efficiency and contribute to the development of sustainable, future-oriented smart built environments.

Undergraduate Intern

I am an undergraduate researcher in the DXD lab, studying strategies for energy optimization of existing buildings. I have been working with building energy datasets. My goal is to become an engineer who uses data-driven approaches to design more sustainable buildings and cities.

Undergraduate Intern

Seohyun is an undergraduate researcher in DXD lab, focusing on self-sufficient urban environments and energy optimization. Her research involves using data analysis and simulation to model and improve the efficiency of urban energy systems. Through her work, she aims to develop innovative solutions that contribute to the future of sustainable architecture.