Computational Mathematics

  • Multi-scale modeling
  • Uncertainty quantification
  • Data-driven methods

Data Sciences and Machine Intelligence

  • Scalable graph analytics and graph representation learning
  • Autonomous learning for design and predictive control
  • Complex infrastructure networks
  • Data architectures for analytics and AI

High-Performance Computing

  • Hardware/software co-design methods
  • High-level synthesis, design automation, and architecture design
  • Advanced system prediction and analysis
  • Compliers, runtime systems, and system software

Computational and Data Engineering

  • Computational modeling for material development, process improvement, and plasticity
  • Mathematical model development for complex systems
  • Software engineering for data integration, visualization, and analytics
  • Data management and software architectures for scientific workflows