Data Science and Performance Driven Design Laboratory

(DataXDesign; DXD)

Intro

At the heart of innovation and technological advancement, the Data Science and Performance Driven Design Laboratory (DataXDesign; DXD) at Yonsei University stands as a beacon of cutting-edge research and practical application. Our laboratory is dedicated to pushing the boundaries of data science, building science and architectural design, merging these dynamic fields to foster groundbreaking solutions and transformative ideas. Here, we believe that the synergy between data-driven insights and performance-driven design is key to addressing complex challenges in various domains.

2024.03

Our team

Our team of expert researchers and practitioners works tirelessly to harness the power of artificial intelligence, advanced analytics, and sophisticated design principles to create smarter, more efficient, and sustainable practice. Whether it's urban planning, architectural design, or environmental sustainability, our lab is at the forefront of devising strategies that are not only innovative but also responsive to the real-world needs of today and tomorrow. Join us in our quest to shape a future where data and design converge to make a meaningful impact.

01

데이터 과학

Data Science and Modeling

02

빌딩 성능 시뮬레이션

Building Performance Simulation

03

건축 및 도시 계획

Architectural Design and Planning

  • Urban Sustainability

  • Hot, Tall and Zero at CGBC

    Design Consultation

  • AI Model Development

  • Data Driven Building Management

  • Data Driven Building Control

CV

Jungmin Han is an Assistant Professor in the department of Architecture and Architectural Engineering at Yonsei University. She is a former lecturer in architecture at the Harvard University Graduate School of Design (GSD) and a fellow at the Harvard Center for Green Buildings and Cities (CGBC). Her doctoral dissertation focused on the geometric properties of architecture and the exchangeable data format of geometries to evaluate the performance of building designs. Han has developed multiple building performance simulation (BPS) software programs to help architects with decision-making on sustainable design topics ranging from building to urban scales of implementation. She took artificial intelligence (AI), specifically deep learning, as her primary methodology for advancing BPS software feasibility.

About

Yonsei department of architecture and architectural engineering.