The aim of this workshop is to bring together Academia Researchers, Engineers, Technologists, Industry Personnel, and Government agencies to discuss and present their recent advancements and future interest in the field of artificial intelligence and machine learning with applications toward the development of cognitive communication systems for aerospace.

Areas of Interest

The areas of interest for the workshop on CCAA are:

• Cognitive technologies supporting software-defined radios, systems including machine learning methods for self reconfiguration and autonomous performance optimization.

• Big data analytics for transfer learning to aerospace communications.

• Cognitive network design and optimization through distributed algorithms, learning and reasoning

• Cognitive communication security, protocol stack adaptation and cross layering in cognitive radio systems.

• Swarm intelligence and biological-inspired networking.

• Smart antennas, testbeds, cognitive radio platforms and autonomous hardware controls.

• Modeling analysis and simulation of cognitive radio technologies and network.

Tracks

• Development of cognitive engines for link management, behavior prediction and optimization.

• Development of cognitive infrastructures for intelligent networking between ground and aerospace systems.

• Development of cognitive engines for applications systems that can be implemented on future NASA missions and commercial products.