Machine Learning for EW
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10/26/2019 to 10/27/2019
When: 10/26 /2019 - 10/27/2019
8:00 AM - 5:00 PM
Where: The Renaissance Hotel
999 9th St
Meeting Room 4
Washington D.C., District of Columbia  20001
United States
Presenter: Kyle Davidson
Contact: Caleb Herr
703 549 1600


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Machine Learning for EW 


Course Length 14 hours total - delivered across 2 day sessions of 7-hours each.

  • Saturday & Sunday, 08:00 – 17:00 EDT (13:00 - 22:00 UTC), October 26th – October 27th

Description:

This course introduces students to the fundamentals of machine learning and its application to modern Electronic Warfare (EW) and cyber solutions. Commencing with an overview of machine learning, and its recent evolution into deep learning, the course focuses on providing an education in how these algorithms work and training on how to apply them in an EW context. As an example, machine learning using neural networks will be discussed, followed by a demonstration on how to implement one to solve a classification problem using Electronic Intelligence (ELINT).

The course contains four major topics: introduction to machine learning, classification using neural networks, training machine learning systems for EW, and developing solutions using machine learning for EW. Each topic will include lectures, demonstrations, and, for the more ambitious, an exercise to further explore the capabilities of machine learning in EW and cyber applications.

Course Outline:

Time

Day 1

Day 2

08:00 - 08:40 Introduction Radar Waveforms
08:50 - 9:30 Understanding Machine Learning Communications Waveforms
9:40 - 10:20 Probability Models Deep Learning
10:30 – 11:10 Regression Lab – Generating Training Data
11:10 – 12:45 LUNCH LUNCH
13:00 – 13:40 Classification Cognitive Electronic Warfare
13:50 – 14:30 Neural Networks Classifying Electronic Intelligence
14:40 – 15:20 Machine Learning Tools Lab – Classifying ELINT
15:30 – 16:10 Lab – Developing a Neural Network Lab – Classifying ELINT
16:20 – 17:00 Lab – Developing a Neural Network Conclusion

 

This course is held in conjunction with the 56th Annual AOC International Symposium & Convention, held October 28-30, 2019 in Washington D.C. Registration for that event does not constitute registration for this course, nor are there any connected costs or discounts.

This course will be held on-site for two days prior to this year's symposium and convention. Beverages will be provided to attendees, but meals are your own responsibility.

 

 

Maximize your time at the 2019 AOC Convention by adding Kyle Davidson's follow-up course! 
Sign up for "Electronic Countermeasures: Theory and Design" being offered on October 31 - November 1.


Who should attend:

The intended audience of this course are Electronic Warfare (EW) professionals looking to expand their knowledge of the field and machine learning. No prior experience in EW is required, but a background in engineering or science is recommended. 

Registration:

Course Cost:

Early Bird Pricing - before 10/4/19

AOC Members - $1400

Non AOC Members - $1500

 

On-Site Pricing - after 10/4/19

AOC Members - $1500

Non AOC Members - $1600

 **** NO REFUNDS WILL BE ISSUED AFTER 1400 ET OCTOBER 25, 2019. ****


 

Instructor:  Kyle Davidson

Kyle Davidson is a former signals officer, having served for 15 years in the Canadian Army. During this time, he held a variety of positions in the field force, on operations in Afghanistan, and as an educator. For the last five years in the Army he served at the Royal Military College of Canada (RMC) as an assistant professor in the Department of Electrical and Computer Engineering, from which he holds a B.Eng. and M.A.Sc. He continues to serve as an adjunct professor at RMC and is scheduled to defend his Ph.D. in EW systems engineering in the spring of 2019. Since leaving the Canadian Armed Forces he has worked as a Radar and Electronic Warfare Scientist and later Head of Capability at Tactical Technologies Inc., a subsidiary of Leonardo MW, on a variety of projects, often related to the Eurofighter Typhoon's defensive aid suite. He is currently the Chief Engineer for Electronic Warfare Systems at MDA where he focusses on developing EW technologies and teams to support a variety of projects in the land, air, sea, and space domains.




With over 13,000 members internationally, the Association of Old Crows is an organization for individuals who have common interests in Electronic Warfare (EW), Electromagnetic Spectrum Management Operations, Cyber Electromagnetic Activities (CEMA), Information Operations (IO), and other information related capabilities. The Association of Old Crows provides a means of connecting members and organizations nationally and internationally across government, defense, industry, and academia to promote the exchange of ideas and information, and provides a platform to recognize advances and contributions in these fields.
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