Our research is translated into a series of computational systems and prototypes that demonstrate AI-enabled construction automation, semantic BIM reasoning, and digital infrastructure intelligence. These platforms serve as experimental environments for validating research concepts in real-world construction workflows.
→ Advances data-driven construction cost analytics by enabling multi-level index computation, forecasting, and trend analysis based on historical pay item data.
Research Theme: Infrastructure cost analytics and decision intelligence
→ Enables data-driven analysis of construction bidding behavior, supporting competition evaluation, bidder tendency modeling, and identification of unbalanced bidding patterns.
Research Theme: Construction market analytics and decision support
Automated Boarding Design and Planning Prototype
→ Demonstrates BIM-based generative design for optimized layout planning and material utilization in prefabricated construction.
Research Theme: AI-enabled construction automation
→ Enables immersive, human-centered interaction with BIM models in virtual environments to support design exploration and decision-making in construction.
Research Theme: Human-centered design and intelligent construction systems
Automated Design and Modeling for Precast Wall Panels
→ Implements rule-based generative modeling to support scalable panelized construction systems.
Research Theme: Industrialized construction systems
Semantic Quantity Take-off Prototype
→ Enables ontology-driven extraction of construction quantities from BIM models for automated estimation workflows.
Research Theme: Semantic BIM and data interoperability
BIM-Based Preconstruction Prototype
→ Integrates BIM and construction planning logic to support early-stage project analysis and decision-making.
Research Theme: Construction decision intelligence