Cho, Hun Hee
Korea University · Engineering
About the Lab
Professor Cho, Hun Hee's research lab specializes in construction technology and sustainable building systems, with a strong focus on improving productivity, safety, and environmental performance in building construction. The lab investigates advanced computational methods such as support vector machines and Monte Carlo simulations for cost estimation, CO2 emission modeling, and real-time structural monitoring. Key research directions include innovative formwork systems, building information modeling (BIM) integration, and the development of energy-efficient construction systems like insulated precast concrete walls. The lab also explores cutting-edge sensing and data-driven technologies, including LiDAR-based indoor modeling and strain sensing for scaffolding, to enhance construction site safety and efficiency.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Total conceptual cost estimates and the assessment of the quality of these estimates are critical in the early stages of a building construction project. In this study, the support vector machine (SVM) model for assessing the quality of conceptual cost estimates is proposed, and the application of SVM in construction areas is investigated. The results show that the SVM model assessed the quality of conceptual cost estimates slightly more accurately than the discriminant analysis model. This show
With the advancement of light detection and ranging (LiDAR) technology, the mobile laser scanner (MLS) has been regarded as an important technology to collect geometric representations of the indoor environment. In particular, methods for detecting indoor objects from indoor point cloud data (PCD) captured through MLS have thus far been developed based on the trajectory of MLS. However, the existing methods have a limitation on applying to an indoor environment where the building components made
Research Areas
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