Information Sciences

Computational Sciences

Is focused on understanding the fundamental principles and techniques governing computational models and architectures for intelligent, trusted, and resilient computing. It provides the foundation for revolutionary capabilities for future warfighters in signal and data processing, data fusion, and social informatics.

  • Information Processing and Fusion
  • Computational Architectures and Visualization
  • Information and Software Assurance

Network Sciences

Pursues discovery and understanding of robust mathematical principles and laws that govern a broad variety of networks including organic, social, and electronic. These principles and laws serve as the foundation for the creation of algorithms which may be leveraged for autonomous system reasoning.

  • Multi-agent Network Control
  • Social and Cognitive Networks
  • Communications and Human Networks
  • Intelligent Networks

Mathematical Sciences

Underlies and enables understanding of complex nonlinear systems, stochastic networks and systems, mechanistic models of adaptive biological systems and networks, and the vast variety of partial differential equation based phenomena. Nonlinear structures and metrics for modeling and studying complex systems are sought, as is creating theory for the control of stochastic systems, spatial-temporal statistical inference, data classification and regression analysis, predicting and controlling biology through hierarchical and adaptive models, enabling new capabilities through bio-inspired techniques, creating high-fidelity computational principles for sharp-interface flows, solving inverse problems, deriving reduced-order methods, and developing computational linguistics.

  • Modeling of Complex Systems
  • Probability and Statistics
  • Biomathematics
  • Computational Analysis

Last Update / Reviewed: April 6, 2017