Cognitive Electronic Warfare: Using AI to Solve EW problems -- Dr. Karen Haigh

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This IEEE AESS Distinguished Lecturer talk by Dr. Karen Haigh will introduce a broad overview of how artificial intelligence (AI) can be used in electronic warfare (EW). AI enables EW systems to respond more quickly and effectively to battlefield 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 EW system. I will describe how to handle real-time 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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  • Florida Atlantic University
  • Boca Raton, Florida
  • United States 33431
  • Building: EE96 -- Engineering East
  • Room Number: 303
  • Click here for Map
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  • Co-sponsored by Dept of Electrical Engineering and Computer Science, Florida Atlantic University

  Speakers

Karen Haigh Karen Haigh

Topic:

Cognitive EW: Using AI to Solve EW problems

Biography:

Dr. Karen Haigh is an expert and consultant in Cognitive EW and embedded AI. Her focus is on physical systems with limited communications and limited computation resources that must perform under fast hard-real-time requirements. She recently wrote the book "Cognitive EW: An AI Approach" with Julia Andrusenko. She was a pioneer in three fields now common across the globe: (1) closed-loop planning and machine learning for autonomous robots, (2) smart homes for elder care, and (3) cognitive RF systems. Dr. Haigh is a regular presenter to both academic and military communities around the world, and has created a variety of online content discussing embedded AI for mission-critical systems, supporting rapid real-time in-mission learning, and assuring AI in the field. Her course on Cognitive EW is available through the
Association of Old Crows. She received her PhD in from Carnegie Mellon University in Computer Science with a focus on AI and Robotics, and her undergraduate from the University of Ottawa in Honours Computer Science (summa cum laude). She is a Fellow of IEEE and of the AsiaPacific AI Association (AAIA), and a Distinguished Lecturer for the IEEE Aerospace and Electronic Systems Society.

https://sites.google.com/site/kzhaigh
https://www.linkedin.com/in/karenhaigh/

 

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