At DIGIT Lab, we address engineering challenges arising from impacts of extreme events, climate changes, and health crisis on our civil infrastructure, urban systems, soil-water environment, and communities. Bearing two broad research thrust areas in mind, systems resilience and systems automation, we integrate cutting-edge technologies such as mechanical and probabilistic modeling, machine learning, generative artificial intelligence, unmanned vehicles, remote sensing, augmented reality, and digital twining to meet the complex challenges of our time.
Currently, our current research efforts are grouped according to three application domains:
- Resilience Quantification for Civil Infrastructure and Structures subjected to Multi-hazards
- Probabilistic Resilience Quantification Methods
- Waterway Bridge System and Lifeline System Resilience
- Climatic flooding, wind, and seismic hazards analysis
- Digital twinning of civil structures and infrastructure systems
- Infrastructure Monitoring and Automation for Civil and Other Systems at Geospatial Massive Scales
- Photogrammetric/Nondestructive Imaging, Remote Sensing, AI, Aerial Robotics, Augmented Reality, Digital Twin Technologies
- Human-in-the-loop Automation for Civil Infrastructure Inspection and Disaster Reconnaissance
- Precision Agriculture in the soil-water nexus
- Risk Communication with Digital Technologies