Information and Communications Laboratory (ICL)

The Information and Communications Laboratory is a fundamental and applied research laboratory focused on transdisciplinary research across the entire information science hierarchy.

ICL’s fundamental strength is Information Science, a discipline that investigates the properties and behavior of information, the forces governing the flow of information, and the means of processing information for optimum accessibility and usability. ICL has broad and deep capabilities across the data science hierarchy of needs and our key areas of research focus on systems that adapt to their operational environment, as well as scalable enterprise system modernization and transformation. Core research areas include software defined radio frequency systems, communications electronic warfare, 5G, spectrum analytics, RF propagation modeling, embedded software, high performance computing, interoperable data infrastructure, trust, analytics, artificial intelligence and machine learning, information science, decision support systems, and enterprise applications. ICL conducts research that solves complex problems for range of sponsors, including defense, health, intelligence, justice and the state of Georgia.

ICL’s strategy to enable research has two components: expand fundamental capabilities, innovative applications, and integration into our current major research activities; and strategically grow major application areas.

Fundamental capabilities, innovative applications, and integration:

  • Artificial Intelligence/Machine Learning
    • Distributed training and inferencing algorithms
  • Advanced Computing
    • High performance heterogeneous edge computing

Strategic application areas:

  • Edge Intelligence
    • Convergence of communications, computing, control, localization and sensing
    • Intelligent networks and spectrum operations for communications
    • Device-edge-cloud AI architectures
    • Real-time AI on massive distributed small data
  • Health
    • Information extraction from diverse data types
    • Integrated biomedical sensors
    • Real-time diagnostic and treatment progression aids
  • Digital Transformation
    • Analytics and AI use case framework
    • Workforce upskilling
    • Trust, interoperability, and data modernization
    • Sensors, mobile and cloud to edge architectures
  • Joint All Domain Battle Management
    • Edge intelligence and digital transformation of battlespace

ICL in the News