National Aeronautics and Space Administration

Glenn Research Center

Call for Papers 2021

The aim of this workshop is to bring together Researchers, Engineers, Technologists, and leaders across industry, government, and academia 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.

Submission Instructions: To submit an abstract, please visit and click on SUBMIT ABSTRACT (which is visible if menu is expanded and submission is allowed). All details and instructions are included there. Abstracts must be between 200–250 words, including sufficient detail to demonstrate the purpose of the paper and a description of any preliminary or expected results for the final paper.  Paper must be written in American English using the available Microsoft Word two-column format paper template (CCAAW Template). If your paper is accepted for presentation, you will be required to register for the workshop prior to uploading your final manuscript. Preference will be given to full papers outlining applied cognitive technologies or novel simulations of such technology for intelligent aerospace communication systems.

Important Dates

Register for mailing list: March 8, 2021
• Abstract Submission Deadline: February 1, 2021
• Abstract Acceptance / Notification: March 8, 2021
• Begin Registration: March 8, 2021
• Paper Submission: April 19, 2021
• Paper Acceptance / Notification: May 24, 2021
• Final Manuscript Submission: June 7, 2021
• You must register for the workshop prior to uploading your final manuscript.
• Final Registration Deadline: June 14, 2021 ‡
• Presentation Submission: June 14, 2021
• Workshop: June 21-23, 2021

Late papers will be accepted on a case by case basis.
‡ Note: Foreign Nationals need to register early to allow time for approvals. If a confirmation / invitation is required before obtaining a Visa, additional time should be allowed for that as well.

Areas of Interest

The areas of interest for the workshop on CCAA are:

  • Machine learning methods for self reconfiguration and autonomous performance optimization
  • Deep learning based sensing and learned communications
  • Communication systems anomaly resolution/mitigation approaches
  • Cognitive network design and protocols
  • Optimization through distributed algorithms
  • Data routing through decentralized service-based approaches
  • Cross-layer optimization techniques
  • Swarm intelligence and biological-inspired networking
  • Secure communication approaches
  • Cognitive antennas
  • Cognitive radio platforms and autonomous hardware controls
  • Neuromorphic/memrisitive architectures
  • Modeling, analysis, and simulation of cognitive radio technologies and networks


  • 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.

Best Paper Competition

  • The IEEE CCAAW is sponsoring a competition for the Best Paper(s).