Cognitive Electronic Warfare (EW): An AI Approach to EW

#EW #AI #KnowYourSignals
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We have a treat!  On April 15th, Rhode & Schwarz has arranged for an IEEE AESS Distinguished Lecturer Dr. Karen Haigh to speak on "Cognitive Electronic Warfare (EW): An AI Approach to EW."  Dr. Haigh literally wrote the book on the topic!  Special thanks to the University of Utah Department of Electrical Engineering for hosting this.  If you plan on coming, please register so we have an accurate count for food, which Rhode & Schwarz is generously providing.

This is a great chance to hear about cognitive EW and network with professionals in the area!  See you there!


  Date and Time

  Location

  Hosts

  Registration


  • Date: 16 Apr 2025
  • Time: 12:00 AM UTC to 02:00 AM UTC
  • Add_To_Calendar_icon Add Event to Calendar
  • 50 S Central Campus Dr.
  • Salt Lake City, Utah
  • United States 84112
  • Building: Merrill Engineering Building (MEB)
  • Room Number: 2109
  • Click here for Map
  • Contact Event Hosts
  • Co-sponsored by University of Utah Electrical Engineering and Rhode & Schwarz
  • Starts 02 April 2025 02:58 PM UTC
  • Ends 14 April 2025 11:00 PM UTC
  • No Admission Charge

  Speakers

Dr. Karen Haigh

Topic:

Cognitive Electronic Warfare (EW): An AI Approach to EW

This 1-hour presentation will introduce a broad overview of 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. I will illustrate where the AI techniques of situation assessment, decision making, and machine learning can function in an EW system. I will describe how to handle real-time in-mission learning, motivate why this capability is crucial, and present ideas on how to evaluate a system that learns during a mission. The presentation is based on the book "Cognitive Electronic Warfare: An Artificial Intelligence Approach."

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.  She was a pioneer in three fields now common across the globe: (1) closed-loop planning and machine learning for autonomous robots, (2) smart homes for elder care, and (3) cognitive RF systems. 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. Dr. Haigh has over 30 years of experience in the aerospace industry, working for Honeywell, BBN Technologies, L3, and Mercury Systems.

Dr. Haigh has chaired over a dozen AI conferences, symposia, and workshops, and is a regular program committee member and technical paper reviewer. She has over 100 publications, and 21 patents, including 3 books.

She received her PhD in from Carnegie Mellon University in Computer Science with a focus on AI and Robotics, and her undergraduate from the University of Ottawa in Honours Computer Science (summa cum laude).

https://www.linkedin.com/in/karenhaigh/

https://ieee-aess.org/distinguished-lecturer/karen-haigh




Agenda

6:00 PM - Welcome and food

6:30 PM - Presentation

7:30 PM - Networking