Dr. Karen Zita Haigh
Dr. Karen Zita Haigh
Haskill Consulting LLC, registered in Minnesota, USA
karen@haskillconsulting.com
I am a leading expert and consultant in Cognitive Electronic Warfare and Embedded Artificial Intelligence and Machine Learning. My work bridges the gap between cutting-edge AI and safety critical systems, enabling systems that can learn and adapt in the field. With my co-author Julia Andrusenko, I wrote the book Cognitive Electronic Warfare: An Artificial Intelligence Approach, now in its second edition, and I have contributed to the development of intelligent control systems for autonomous platforms, smart homes, and edge computing.
◆ Professional biography. I graduated from CMU in 1998 with a PhD in Computer Science with a focus on AI and Robotics. I am a Fellow of IEEE and AAIA.
◆ My book Cognitive Electronic Warfare: An Artificial Intelligence Approach and a full list of Publications,
◆ Resume and longer CV , and LinkedIn Profile
◆ Presentations and Podcasts & Media coverage
◆ Training: In-person Course Offerings
Let's Collaborate! Please reach out to me at karen@haskillconsulting.com to discuss collaboration options. I can present Cognitive EW concepts as trainings, help analyze customer needs, develop and design technical architectures, and map techniques to platforms that have hard real-time requirements and must operate under congested communications conditions.
Upcoming Events
I regularly teach courses and speak at international conferences on the topic of Cognitive EW and Embedded AI. I am IEEE AESS Distinguished Lecturer.
Cognitive EW, Eglin, FL, 2-day class, week of 21 Sep 2025. Reach out for details.
Cognitive EW, Grand Forks, ND, 26 Sep 2025.
Cognitive EW, Minot, ND, 3 Oct 2025.
Cognitive RF Systems: Using AI to Solve Complex Problems, IEEE AESS Distinguished Lecture, INHA university, Incheon, South Korea. 17 Oct 2025. Registration.
Cognitive EW Tutorial. Seoul, South Korea. 16 Oct 2025. Hosted by AOC. Registration
Cognitive EW: More than Just Machine Learning, AOC Asia, Seoul, South Korea, 16 Oct 2025.
Cognitive EW: Using AI to Solve Complex Problems, IEEE AESS Distinguished Lecture, INHA University, Incheon, South Korea, 17 Oct 2025.
Planned: Cognitive EW, 3-day class offered by AOC at SwRI in San Antonio. Jan 2026. Stay tuned!
Recorded Lectures
Several of my lectures have been recorded and posted to public sites.
"Cognitive EW: An AI Approach"
20-minute introduction to CogEW concepts, recorded March 2021
Lecture recorded at ISI March 2023 for the AI community
IEEE AESS Distinguished Lecture recorded May 2023
AOC Webinar, recorded July 2022. <LINK MAY BE BROKEN. Search on crows.org for Learn --> Webinars --> On-demand courses.>
AOC 18-hour on-demand course, Course material plus exercises <LINK MAY BE BROKEN. Search on crows.org for Learn --> Courses --> On-demand courses.>
"Cognitive EW: Data and In-Mission Learning"
IEEE AESS Distinguished lecture, recorded Jul 2025
"Assuring Cognitive EW"
IEEE AESS Distinguished lecture, recorded Apr 2024.
AOC webinar, recorded Jan 2024. <LINK MAY BE BROKEN. Search on crows.org for Learn --> Courses --> On-demand courses.>
Cognitive Electronic Warfare: An Artificial Intelligence Approach
Published by Artech House, this book offers a comprehensive guide to applying AI techniques in EW systems, including situation assessment, decision making and in-mission learning. The book covers data management and testing approaches, and also provides a list of suggested "getting started" projects.
🔸View more information about the Books (first and second English language editions, and the Japanese edition)
Cognitive systems perceive the environment and take actions to achieve goals.
Iterative (long-term behaviours)
Interactive (change the environment)
Deliberative (goal directed)
Transformative (self-learning)
Cognitive systems learn after deployment.
AI knowledge management, situation assessment, decision making, and learning techniques can improve all aspects of an EW system.
Learn where and how to leverage AI capabilities in EW systems, including when to not use AI!
Learn how to train and evaluate a cognitive system so that end users will trust that it will do the right thing.