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PRODID:IEEE vTools.Events//EN
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TZID:Asia/Seoul
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DTSTART:19881009T020000
TZOFFSETFROM:+1000
TZOFFSETTO:+0900
TZNAME:KST
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BEGIN:VEVENT
DTSTAMP:20251021T034829Z
UID:966AB5A8-D9AA-4F0B-B6A9-8CA0936E8DDB
DTSTART;TZID=Asia/Seoul:20251017T150000
DTEND;TZID=Asia/Seoul:20251017T160000
DESCRIPTION:Speaker: Dr. Karen Haigh\n\nPlace: INHA University\, Incheon\, 
 South Korea\, High Tech Center #210\n\nAbstract:\n\nThis presentation will
  introduce a broad overview of how artificial intelligence (AI) can be use
 d in complex radio frequency systems. AI enables RF systems to respond mor
 e quickly and effectively to dynamic environment conditions with complex a
 nd novel emitters. I will illustrate where the AI techniques of situation 
 assessment\, decision making\, and machine learning can function in an RF 
 system\, and show how Cognitive Radio\, Cognitive Radar and Cognitive Elec
 tronic Warfare are the same concept. I will describe how to handle real-ti
 me in-mission learning\, motivate why this capability is crucial\, and pre
 sent ideas on how to evaluate a system that learns during a mission. The p
 resentation is based on the book "Cognitive Electronic Warfare: An Artific
 ial IntelligenceApproach"\n\nCo-sponsored by: INHA University\n\nSpeaker(s
 ): Dr. Karen Haigh\n\nRoom: #210\, Bldg: High Tech Center\, INHA Universit
 y\, Incheon\, Kyonggi-do\, South Korea
LOCATION:Room: #210\, Bldg: High Tech Center\, INHA University\, Incheon\, 
 Kyonggi-do\, South Korea
ORGANIZER:jh.won@inha.ac.kr
SEQUENCE:23
SUMMARY:Cognitive RF Systems: Using AI to Solve Complex Problems
URL;VALUE=URI:https://events.vtools.ieee.org/m/502406
X-ALT-DESC:Description: <br /><p class="p1">&nbsp\;</p>\n<p class="p1">Spea
 ker: Dr. Karen Haigh&nbsp\;</p>\n<p class="p1">Place: INHA University\, In
 cheon\, South Korea\, High Tech Center #210</p>\n<p class="p1">Abstract:</
 p>\n<p class="p1">This presentation will introduce a broad overview of how
  artificial intelligence (AI) can be used in complex radio frequency syste
 ms. AI&nbsp\;enables RF systems to respond more quickly and effectively to
  dynamic environment conditions with complex and novel emitters. I will il
 lustrate&nbsp\;where the AI techniques of situation assessment\, decision 
 making\, and machine learning can function in an RF system\, and show how 
 Cognitive&nbsp\;Radio\, Cognitive Radar and Cognitive Electronic Warfare a
 re the same concept. I will describe how to handle real-time in-mission le
 arning\,&nbsp\;motivate why this capability is crucial\, and present ideas
  on how to evaluate a system that learns during a mission. The presentatio
 n is based&nbsp\;on the book "Cognitive Electronic Warfare: An Artificial 
 IntelligenceApproach"</p>
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