PROFESSIONAL
Consultant for Cognitive Electronic Warfare and Embedded Artificial Intelligence and Machine Learning (AI/ML). With my co-author Julia Andrusenko, I wrote the book Cognitive Electronic Warfare: An Artificial Intelligence Approach, released by Artech House in August 2021.
◆ Professional biography. I graduated from CMU in 1998 with a PhD in Computer Science with a focus on AI and Robotics. I am currently consulting on Cognitive Electronic Warfare concepts.
◆ Publications, Presentations and Podcasts & Media coverage
◆ Training: In-person Course Offerings
lease reach out to me at kzhaigh@gmail.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. I am IEEE AESS Distinguished Lecturer.
Upcoming Events:
16 July, Cognitive Electronic Warfare, Tutorial, ITEA MDO Workshop, Alexandria, VA.
5-6 Aug 2024, Cognitive Communications Electronic Warfare, NIWC Atlantic, Charleston, SC. Co-taught with SwRI.
Week of 19 Aug 2024, IEEE AESS Distinguished lecture, Using AI to Solve Complex Problems, Nairobi, Kenya
Recorded Lectures:
"Cognitive EW: An AI Approach"
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.>
"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.>
Dr. Karen Zita Haigh
Authors: Karen Zita Haigh and Julia Andrusenko
This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system and evaluating its ability to learn new information in real time.
The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. The book presents decision-making techniques for electronic protect (EP), electronic attack (EA), and electronic battle management (EBM), including optimization techniques, temporal tradeoffs, and distributed coordination. The book covers real-time in-mission learning, motivates why this capability is crucial, and describes how to evaluate a system that learns during a mission. The book also covers data management and system architecture concepts.
Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization for EW.
Publisher website: Artech USA and Artech UK
Japanese version: コグニティブ電子戦 ：人工知能アプローチ。 株式会社五月書房新社 。 2023 年4月。(Amazon) (Gogatsu)
Contents:
Intro to Cognitive EW
Objective Function
Machine Learning Primer
Electronic Support
Electronic Protect and Electronic Attack
Electronic Battle Management
Real-time In-mission Planning and Learning
Data Management
Architecture
Test and Evaluation
Getting Started: First Steps