Data Analytics and Modeling


  • Model integration and optimization
  • Modeling frameworks for modular and component-based modeling
  • Distributed data storage for scalability and availability
  • Large location-based timeseries hosting
  • Workflow and provenance management systems
  • Model data provisioning
  • Parallel processing and high performance computing
  • Deployment of models as “Modeling-as-a-Service” (MaaS)
  • Meta-modeling automation with artificial neural networks


Research Centers