Dr. Karen Haigh

This course will cover 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. The course will discuss AI-based situation assessment techniques for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. The course will cover decision-making techniques for electronic protect (EP), electronic attack (EA), and electronic battle management (EBM), including optimization, temporal tradeoffs, and distributed coordination. The course will describe how to handle real-time in-mission learning, motivate why this capability is crucial, and discuss how to evaluate a system that learns during a mission. It will cover data management approaches and system architecture. The course is based on the book "Cognitive Electronic Warfare: An Artificial Intelligence Approach" (https://us.artechhouse.com/Cognitive-Electronic-Warfare-An-Artificial-Intelligence-Approach-P2208.aspx)

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/