Cognitive RF Systems: Using AI to Solve Complex Problems

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Dr. Karen Haigh (IEEE AESS Distinguished Lecturer) will talk about  Cognitive RF Systems: Using AI to Solve Complex Problems.

This presentation will introduce a broad overview of how artificial intelligence (AI) can be used in complex radio frequency systems. AI enables RF systems to respond more quickly and effectively to dynamic environment conditions with complex and novel emitters. I will illustrate where the AI techniques of situation assessment, decision making, and machine learning can function in an RF system, and show how Cognitive Radio, Cognitive Radar and Cognitive Electronic Warfare are the same concept. I will describe how to handle realtime in-mission learning, motivate why this capability is crucial, and present ideas on how to evaluate a system that learns during a mission. The presentation is based on the book "Cognitive Electronic Warfare: An Artificial Intelligence Approach" 



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  • Date: 19 Apr 2023
  • Time: 03:00 PM to 04:30 PM
  • All times are (UTC+09:00) Osaka
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  • 3 Chome-5-8 Shibakoen, Minato-ku
  • Tokyo, Tokyo
  • Japan 105-0011
  • Building: Kikai Shinkō Kaikan
  • Room Number: D1 and D2, 6th floor

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  • Co-sponsored by Association of Old Crows Japan
  • Starts 03 April 2023 09:00 AM
  • Ends 18 April 2023 10:00 AM
  • All times are (UTC+09:00) Osaka
  • No Admission Charge


  Speakers

Dr. Karen Haigh Dr. Karen Haigh of Consultant for Cognitive Electronic Warfare and Embedded AI/ML

Topic:

Cognitive RF Systems: Using AI to Solve Complex Problems

This presentation will introduce a broad overview of how artificial intelligence (AI) can be used in complex radio frequency systems. AI enables RF systems to respond more quickly and effectively to dynamic environment conditions with complex and novel emitters. I will illustrate where the AI techniques of situation assessment, decision making, and machine learning can function in an RF system, and show how Cognitive Radio, Cognitive Radar and Cognitive Electronic Warfare are the same concept. I will describe how to handle realtime in-mission learning, motivate why this capability is crucial, and present ideas on how to evaluate a system that learns during a mission. The presentation is based on the book "Cognitive Electronic Warfare: An Artificial Intelligence Approach" 

Biography:

Dr. Karen Haigh is a recognized expert in Cognitive Electronic Warfare (EW) and embedded Artificial Intelligence (AI). I am Fellow of the IEEE for contributions to closed-loop control of embedded systems, and a Fellow of AAIA for outstanding achievements in the area of smart homes.

I design and develop cognitive techniques for physically-embodied complex systems, including RF networks, smart homes, cyber security, jet engines, oil refineries, and space systems (Shuttle Columbia and the International Space Station). My most recent technical success has been in the area of Cognitive RF Systems. With my co-author Julia Andrusenko, I wrote the book Cognitive Electronic Warfare: An Artificial Intelligence Approach, released by Artech House in August 2021.