Introduction to Electronic Warfare / Cognitive Electronic Warfare
Format
The course runs over two consecutive days.
Course Outline
Day 1: Introduction to Electronic Warfare
Day 1 is designed for students and professionals seeking to learn the foundations of electronic warfare (EW).
The Introduction to EW will cover a general introduction to the concept and history of EW, EW challenges, an overview of EW systems and functions, jamming techniques and applications, emerging technologies for EW, open architectures for EW system development, and a brief introduction to the application of artificial intelligence to EW.
Day 2: Introduction to Cognitive Electronic Warfare
Day 2 is designed for radar and information warfare professionals seeking to develop their understanding of cognitive EW systems.
The Introduction to Cognitive EW will provide an overview of how artificial intelligence (AI) can be used in EW. AI enables EW systems to respond more quickly and effectively to battlefield conditions with complex and novel emitters. It will illustrate where AI techniques can enhance situation assessment and decision-making within EW systems, and describe how to handle real-time in-mission learning.
For more information please visit: https://www.eventbrite.com.au/e/introduction-to-tracking-and-sensor-fusion-tickets-639909415287
Date and Time
Location
Hosts
Registration
- Start time: 15 Nov 2023 10:30 PM UTC
- End time: 17 Nov 2023 06:30 AM UTC
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- University of Adelaide
- North Terrace
- Adelaide, South Australia
- Australia 5000
- Building: Engineering Sourth
- Room Number: S112
- Click here for Map
Speakers
David Brown
Biography:
David Brown is a research engineer in the Defense & Intelligence Solutions Division at Southwest Research Institute (SwRI) where he is the lead engineer for advanced electronic warfare (EW) system research & development. His research interests are centered on applied cognitive EW, including methodologies to push AI/ML algorithms to the sensor edge, and smart data compression for congested data transport layers. Prior to joining SwRI, he held a variety of EW related research & development positions and was an adjunct professor at the Georgia Institute of Technology. In addition to engineering experience in EW, David developed experience in practical application of EW as a B-1B Electronic Warfare Officer (EWO). David received undergraduate and graduate training in electrical engineering from Georgia Tech as well as Master of Arts and Master of Divinity from Liberty University. David is a Distinguished Graduate of the Joint Electronic Warfare Officer School and is the recipient of the AOC EW Pioneer Award and RF Award. He served as the co-chair of the Sensor Open Systems Architecture (SOSA) Low Latency Subcommittee, which focused on EW specific concerns within open architecture systems. David is a senior member of the IEEE.
Karen Haigh
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. 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 from Carnegie Mellon University in Computer Science with a focus on AI and Robotics, and her undergraduate from the University of Ottawa. 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.