Research
Research Areas
Manufacturing Productivity
- Predictive maintenance of manufacturing and construction equipment to reduce downtime
- Optimization of factory and job-site layouts using workflow monitoring and generative AI
- Development of knowledge-based systems using large language models on local computers
Product and Process Quality
- Improvement of joining and fabrication processes using sensor data
- Vision-based quality inspection using deep learning
- Optimization of process parameters to enhance product and construction quality
Facility and Operational Sustainability
- Supply-chain and material-flow optimization through demand prediction and inventory monitoring
- Improvements in building and facility energy efficiency through intelligent monitoring and control
Workforce Safety and Performance
- Accident prediction and prevention using vision- and sensor-based monitoring
- Optimization of work schedules and task assignments through analysis of worker performance and fatigue
