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Center for Intelligent Infrastructure Systems

Areas of Research

Materials

  • 3D printing
  • Composite
  • Nano-materials
  • Smart materials
  • Green materials

Sensing technologies

  • Subsurface exploration (underground digital world mapping)
  • Long-range, non-contact sensing of large infrastructures networks 
  • Wireless communications for spatially distributed infrastructure and lifelines
  • Autonomous robots and drones for carrying and deploying sensing systems
  • Artificial intelligence and mixed reality (AR and VR) for visualization

Data analytics

  • data fusion
  • engineering uncertainty quantification
  • Bayesian inferential statistics techniques
  • machine learning (supervised, unsupervised, and reinforcement learning)
  • deep learning
  • pattern recognition
  • spatial-temporal predictive model development
  • computer vision

Decision making

  • sensor data fusion
  • metrology
  • physics-based models
  • machine learning
  • life cycle cost and total life cost analysis
  • risk assessment
  • hazard and vulnerability assessment
  • online monitoring and warning
  • disaster emergency response
  • disaster restoration planning

Transportation

Environment

Funded Research Projects

Mapping indication severity using Bayesian machine learning from indirect inspection data into corrosion severity for decision making in pipeline maintenance

  • Agency: USDOT PHMSA
  • Principle Investigator: Dr. Hui Wang
  • Period: 2019-2021

A study of artificial intelligence based interpretation and modeling techniques for geotechnical site characterization

  • Agency: ODOT
  • Principle Investigator: Dr. Hui Wang
  • Period: 2019-2020 

Translating big data to knowledge: A machine learning and mixture reality enhanced geotechnical subsurface investigation, interpretation and visualization platform

  • Agency: University of Dayton
  • Principle Investigator: Dr. Hui Wang
  • Period: 2019-2020

Machine learning enhanced interpretation of subsurface soil/rock profile and adaptive geotechnical field exploration

  • Agency: University of Dayton
  • Principle Investigator: Dr. Hui Wang
  • Period: 2019-2020

Ohio Department of Transportation: GHMS and LIMS upgrade

  • Agency: ODOT
  • Principle Investigator: Dr. Hui Wang
  • Period: 2019-2020

Ohio Department of Transportation: Development of friction demand categories and intervention treatment

  • Agency: ODOT
  • Principle Investigator: Dr. Hui Wang
  • Period: 2018-2019

Vision-based safety securing technology for temporary structure installation and dismantlement 

  • Agency: The Korea Agency for Infrastructure Technology and Advancement
  • Principle Investigator: Dr. Hongjo Kim
  • Period: 2020-2025
CONTACT

Center for Intelligent Infrastructure Systems, Dr. Robert Liang, Director

Kettering Laboratories
300 College Park
Dayton, Ohio 45469
937-229-3847
Email