IEEE AESS - UTSA - Electronic Warfare 101: Radar Basics

#radar #research
Share

This presentation by SwRI Research Engineer Garrett Hall will cover the basics of radar and their many applications.

It will cover an overview of Southwest Research Institute, the importance of professional societies like IEEE, what waves are and where they are found in the physical world, how radar works, different types or radars, applications of the various radar types, and future learning opportunities for radars.

This is Part I in a series of talks that will introduce the basics of electronic warfare to the local student community.



  Date and Time

  Location

  Hosts

  Registration



  • Date: 23 Mar 2023
  • Time: 04:00 PM to 05:00 PM
  • All times are (UTC-05:00) Central Time (US & Canada)
  • Add_To_Calendar_icon Add Event to Calendar
  • 1 UTSA Circle
  • San Antonio, Texas
  • United States 78249
  • Building: Engineering Building
  • Room Number: 2.04.26A

  • Contact Event Hosts
  • Starts 21 March 2023 03:23 PM
  • Ends 23 March 2023 03:23 PM
  • All times are (UTC-05:00) Central Time (US & Canada)
  • No Admission Charge


  Speakers

Garrett Hall Garrett Hall

Topic:

Radar Basics

This presentation by SwRI Research Engineer Garrett Hall will cover the basics of radar and their many applications.

It will cover an overview of Southwest Research Institute, the importance of professional societies like IEEE, what waves are and where they are found in the physical world, how radar works, different types or radars, applications of the various radar types, and future learning opportunities for radars.

This is Part I in a series of talks that will introduce the basics of electronic warfare to the local student community.

Biography:

Garrett Hall resides in San Antonio, Texas where he works as a Research Engineer at Southwest Research Institute (SwRI). He holds a BS and MS in Electrical Engineering from The University of Texas at San Antonio (UTSA). During his time at UTSA, he published deep learning research in brain-computer interfacing, adversarial examples, and multiagent reinforcement learning. At SwRI, he has served as the principal investigator for multiple internal research programs and continues research as a machine learning expert for signal classification and simulation based decision making.