Three core research directions of AISE Lab
We train neural networks on finite element analysis data to develop deep-learning surrogate models that efficiently approximate the results of complex structural analyses.
Deep learning for structural engineering · Computational mechanics & finite element analysis · Structural health monitoring · Data-driven decision making
We combine machine learning with metaheuristic optimization algorithms to automate the structural design process and derive optimal designs.
Generative design · Multi-objective structural optimization · Metaheuristic algorithms · Topology optimization
We integrate computer vision, robotics, and AI to develop automation systems tailored to construction sites, with on-site safety and construction efficiency as core goals.
On-site monitoring vision systems · Safety & hazard detection · Automated progress tracking · Intelligent construction equipment operation
