The intellectual focus of the program includes the following research topics:

  1. Model-based design for component-based systems;
  2. Wireless networks;
  3. Cognitive radio;
  4. Embedded control systems and algorithms;
  5. Sensory data processing and sensor fusion;
  6. Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication; and
  7. Scalability of algorithms/systems (multi-vehicle, multi-device).

Students need not have existing expertise in these areas, a background sufficient for standing as an engineering or computer science/mathematics senior will be sufficient. Additional background and cross-cutting themes in these topics will be covered in short courses that are presented by the graduate student mentors, and selected faculty from the ECE department, in order to address common tool usage questions, and familiarity with fundamental concepts.

Applicants must choose either "Autonomy" or "Cognitive Radio" when submitting their application. This choice allows us to ensure that the program will contribute to both areas. More information on this choice can be found on the application page.

CAT Vehicle 2019

Brandon Dominique (New Jersey Institute of Technology)

Daniel Fishbein (Missouri State University)
 Kreienkamp (University of Notre Dame)

Alex Day (Clarion University of Pennsylvania)
Sam Hum (Colorado College)
Riley Wagner
 (the University of Arizona)

Eric Av (Gonzaga University)
Hoang Huynh (Georgia State University-Perimeter College)
John Nguyen (University of Minnesota, Twin Cities)

Brandon Dominique's experience: A brief overview of the work that I did at the University of Arizona for their student-led self driving car project, the CAT Vehicle.