Welcome to the STAIR (STructural Artificial Intelligence Research) website! We are a group of undergraduate and graduate students, postdoctoral scholars and research scientists led by Professor Khalid M. Mosalam at UC Berkeley.
STAIRlab is an active research group at the intersection of artificial intelligence and structural health monitoring. In the STAIRlab, we conduct research to develop methodologies and tools applicable to the domain of “Structural Health Monitoring” for rapid assessment of the instrumented structural systems during reconnaissance efforts following extreme events, e.g., earthquakes. Core research areas of the STAIRlab are categorized into four groups:
- Artificial Intelligence: Developing and using methods like machine learning and Natural Language Processing (NLP) for structural health monitoring and reconnaissance in the wake of natural hazards.
- Numerical Methods: Developing numerical methods for physics simulations.
- Sensor Technologies: Development of cost effective sensors to be used for structural health monitoring in laboratory and field settings.
- Cyber-physical Systems: Development and application of hybrid simulation methods, by simulating several critical substructures of a structure in a physical laboratory setting, while modeling the remaining in the cyber domain.
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