Research Areas

Pioneering AI-driven structural engineering solutions

AI-based Surrogate Structural Analysis

We develop deep learning-based surrogate models that efficiently approximate complex structural analysis results. By training neural networks on finite element analysis data, we create fast and accurate predictive models.

  • AI & Deep Learning for Structural Engineering
  • Computational Mechanics & Structural Analysis
  • Construction Safety & Health Monitoring
  • Data-Driven Decision Making
AI-based Surrogate Analysis
AI-based Automated Design

AI-based Automated Structural Design

We leverage machine learning and metaheuristic optimization algorithms to automate structural design processes. Our research aims to create intelligent systems that can generate optimal designs.

  • Generative design using AI
  • Multi-objective structural optimization
  • Metaheuristic algorithms
  • Topology optimization

AI-based Construction Robot Operations

Our construction robotics research focuses on developing intelligent automation systems for construction sites. By combining computer vision, robotics, and AI, we aim to improve safety and efficiency.

  • Computer vision for construction monitoring
  • AI-driven safety monitoring
  • Automated progress tracking
  • Intelligent equipment operation
AI-based Robot Operations