Digital Construction is a future-oriented field of research and education that aims to transform the construction industry paradigm by leveraging advanced digital technologies. By enabling digital transformation across the entire life cycle of social overhead capital (SOC) and urban infrastructure—planning, design, construction, operation, and maintenance—it seeks to drive innovation throughout the construction industry.
Digital Infrastructure · Digital Infrastructure · Digital Infrastructure
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Overview
This program addresses traditional construction management methods related to cost, schedule, productivity, quality, and safety, while simultaneously integrating these practices with digital technologies to create new approaches. Education and research focus on methodologies that incorporate state-of-the-art technologies such as artificial intelligence (AI), sensing technologies, autonomous and semi-autonomous robots, drones, virtual reality (VR), augmented reality (AR), simulation, digital twins, and Building Information Modeling (BIM) across various stages of construction projects.
In addition, the program covers a wide range of applications, including data-driven analysis and prediction based on real-world site data, smart construction and maintenance technologies, and digital strategies for sustainable infrastructure development. Through a systematic curriculum, students are equipped to develop both practical insight and technical expertise as digital construction professionals.
The Digital Infrastructure program aims to cultivate creative and interdisciplinary talents capable of leading the smart transformation of future cities and infrastructure in an evolving construction environment.
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Human-centered Construction and Infrastructure Laboratory Human-centered Construction and Infrastructure Advisor: Prof. Jin-Woo Kim
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Intelligent Construction Technology Laboratory Intelligent Construction Technology Laboratory Advisor: Prof. Jong-Won Seo
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Construction Informatics and Computing Laboratory Construction Informatics and Computing Lab Advisor: Prof. Sang-Uk Han
