Introduction to Electronic Warfare / Cognitive Electronic Warfare

IEEE Aerospace & Electronic Systems Society (Qld & SA Chapters)

"Introduction to Electronic  Warfare" is a two-day course presented by David A. Brown (SWRI) and Dr Karen Haigh (Haskell Consulting).

University of Adelaide - Inkardli Wardli,  2.18

IEEE Aerospace & Electronic Systems Short Courses

IEEE Aerospace & Electronic Systems Society offer an occasional series in technical continuing professional development courses in radar- & EW-related topics.

FormatThe course is run in-person and in classroom style. It runs over two consecutive days. It is fully catered. Morning tea, lunch and afternoon tea are provided.If you are interested in attending just one of the two days, please contact the organisers.Course OutlineDay 1: Introduction to Electronic WarfareDay 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 WarfareDay 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. SyllabusDay 1: Introduction to Electronic Warfare· Introduction EW o Definitions o Goal of EW systems o Historical development of EW· The EW Problem o EW contrasted with radar solutions (RF) o Problem with geometry o Problem with dynamics o Fundamental mathematics for EW systems· EW Systems and functions o Antennas o Receivers o Jammers o Roles § Situational awareness § Self-protect § Protection of assets other than ownship· Basic jammer techniques/applications with effects on radar systems o Noise o Deceptive o DRFM· Emerging technology for EW systems o Survey of commercially available components for advanced RF systems· Open architecture for EW systems o Software/Hardware/Firmware o Impacts &amp; vulnerabilities· Cognitive and AI/ML impacts to EW o Technologies o Potential uses o Problems with training (data!)Day 2: Introduction to Cognitive Electronic Warfare •	Outline•	Intro to EW•	Intro to AI•	Cognitive EW•	System Walkthrough•	More thoughts about AI and its impact•	Objective Function•	Situation Assessment and Electronic Support•	Decision Making for ES,EP,EA, and EBM•	Real-time in-mission activity•	Intro to Machine Learning•	Learning from a single training example•	Data Management Process &amp; Practice•	Test &amp; Eval – Evaluating a system that learns in-mission•	Projects•	ConclusionPrerequisites<ul><li>No prior knowledge of EW concepts is required, although an appreciation of supporting physical, mathematical, or operational concepts would be useful. </li></ul>Presenter biographiesDavid Brown is a research engineer in the Defense &amp; Intelligence Solutions Division at Southwest Research Institute (SwRI) where he is the lead engineer for advanced electronic warfare (EW) system research &amp; 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 &amp; 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.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.Group discountsGroup discounts can be negotiated. Please contact the organisers, Vaughan Clarkson (Qld) or Waddah Al-Ashwal (SA), if you would like to discuss.

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}