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DTSTAMP:20230429T110457Z
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DTSTART;TZID=America/Chicago:20230427T080000
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DESCRIPTION:Dr. Karen Haigh will cover how artificial intelligence (AI) can
  be used in electronic warfare (EW). AI enables EW systems to respond more
  quickly and effectively to battlefield conditions with complex and novel 
 emitters. The course will discuss AI-based situation assessment techniques
  for electronic support (ES)\, including characterization\, classification
 \, patterns of life\, and intent recognition. The course will cover decisi
 on-making techniques for electronic protect (EP)\, electronic attack (EA)\
 , and electronic battle management (EBM)\, including optimization\, tempor
 al tradeoffs\, and distributed coordination. The course will describe how 
 to handle real-time in-mission learning\, motivate why this capability is 
 crucial\, and discuss how to evaluate a system that learns during a missio
 n. It will cover data management approaches and system architecture. The c
 ourse is based on the book &quot;Cognitive Electronic Warfare: An Artificial In
 telligence Approach&quot; (https://us.artechhouse.com/Cognitive-Electronic-Warf
 are-An-Artificial-Intelligence-Approach-P2208.aspx)\n\nSpeaker(s): Dr. Kar
 en Haigh\, \n\nAgenda: \nTwo 7-hour days\n\nDay 1 - Thursday April 27\, 08
 00-1700\n\nSession 1\nIntroduction to Cognitive EW\nSystem Walkthrough (br
 ief)\nDomain Challenges\nRole of Humans in EW\n\nLunch\n\nSession 2\nMachi
 ne Learning Primer\nSituation Assessment for Electronic Support\nData Mana
 gement\n\nDay 2 - Friday April 28\, 0800-1700\n\nSession 3\nObjective Func
 tion\nDecision Making for Electronic Protect\, Attack\, and Battle Managem
 ent\nReal-Time In-Mission Planning and Learning\nMetrics\nTesting &amp; Evalua
 tion\n\nLunch\n\nSession 4\nSW and HW Architecture\nSystem Walkthrough (co
 mplete)\nGetting Started\nProject Ideas\n\nBldg: Video Teleconferencing Ce
 nter\, Building 189\, 6220 Culebra Rd\, San Antonio\, Texas\, United State
 s\, 78238
LOCATION:Bldg: Video Teleconferencing Center\, Building 189\, 6220 Culebra 
 Rd\, San Antonio\, Texas\, United States\, 78238
ORGANIZER:garrett.hall@my.utsa.edu
SEQUENCE:18
SUMMARY:IEEE AESS Short Course - Cognitive Electronic Warfare - Dr. Karen H
 aigh
URL;VALUE=URI:https://events.vtools.ieee.org/m/344651
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Dr. Karen Haigh will cover how artificial 
 intelligence (AI) can be used in electronic warfare (EW). AI enables EW sy
 stems to respond more quickly and effectively to battlefield conditions wi
 th complex and novel emitters. The course will discuss AI-based situation 
 assessment techniques for electronic support (ES)\, including characteriza
 tion\, classification\, patterns of life\, and intent recognition. The cou
 rse will cover decision-making techniques for electronic protect (EP)\, el
 ectronic attack (EA)\, and electronic battle management (EBM)\, including 
 optimization\, temporal tradeoffs\, and distributed coordination. The cour
 se will describe how to handle real-time in-mission learning\, motivate wh
 y this capability is crucial\, and discuss how to evaluate a system that l
 earns during a mission. It will cover data management approaches and syste
 m architecture. The course is based on the book &quot;Cognitive Electronic Warf
 are: An Artificial Intelligence Approach&quot; (https://us.artechhouse.com/Cogn
 itive-Electronic-Warfare-An-Artificial-Intelligence-Approach-P2208.aspx)&lt;/
 p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;Two 7-hour days&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;text-d
 ecoration: underline\;&quot;&gt;Day 1 - Thursday April 27\, 0800-1700&lt;/span&gt;&lt;/p&gt;\n
 &lt;p&gt;&lt;span style=&quot;text-decoration: underline\;&quot;&gt;Session 1&lt;/span&gt;&lt;br /&gt;Introd
 uction to Cognitive EW&lt;br /&gt;System Walkthrough (brief)&lt;br /&gt;Domain Challen
 ges&lt;br /&gt;Role of Humans in EW&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;text-decoration: underl
 ine\;&quot;&gt;Lunch&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;text-decoration: underline\;&quot;&gt;Ses
 sion 2&lt;/span&gt;&lt;br /&gt;Machine Learning Primer&lt;br /&gt;Situation Assessment for E
 lectronic Support&lt;br /&gt;Data Management&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;text-decoratio
 n: underline\;&quot;&gt;Day 2 - Friday April 28\, 0800-1700&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span s
 tyle=&quot;text-decoration: underline\;&quot;&gt;Session 3&lt;/span&gt;&lt;br /&gt;Objective Functi
 on&lt;br /&gt;Decision Making for Electronic Protect\, Attack\, and Battle Manag
 ement&lt;br /&gt;Real-Time In-Mission Planning and Learning&lt;br /&gt;Metrics&lt;br /&gt;Te
 sting &amp;amp\; Evaluation&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;text-decoration: underline\;&quot;
 &gt;Lunch&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;text-decoration: underline\;&quot;&gt;Session 4
 &lt;/span&gt;&lt;br /&gt;SW and HW Architecture&lt;br /&gt;System Walkthrough (complete)&lt;br 
 /&gt;Getting Started&lt;br /&gt;Project Ideas&lt;/p&gt;
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