Engineering

Kameron Eves

Kameron Eves

Dr. Kameron Eves is an Assistant Professor of Electrical and Computer Engineering at Utah Tech University. His expertise lies in autonomy and robotics—particularly dynamics and controls—with strong applications in aerospace engineering. He earned his Ph.D. in Aerospace Engineering from Texas A&M University and his B.S. in Mechanical Engineering from Brigham Young University (BYU). His research spans adaptive control, nonlinear control, reinforcement learning, aircraft stability, and unmanned aerial vehicle (UAV) flight testing, supported by grants and contracts from the U.S. Army, Navy, and Air Force.
At Utah Tech, Eves teaches courses in control theory, autonomy, dynamics, signal processing, and engineering design. He is passionate about guiding students to prepare for the AI and autonomy revolution and its impact on global challenges. Outside the classroom, he enjoys aviation, soccer, running, and spending time with his wife and three children.

Education

Ph.D., Aerospace Engineering

  • Texas A&M University

B.S., Mechanical Engineering

  • Brigham Young University

Courses

  • MECH 1000 - Introduction to Mechanical Design & Rapid Prototyping
  • MECH 2030 - Dynamics
  • MECH 2255 - Sensors & Actuators Lab
  • MECH 3200 - Systems & Control
  • MECH 3205 - Systems & Control Lab
  • ECE 3500 - Signals & Systems
  • ECE 4200 - Modern Control
  • ECE 4290 - Autonomous Vehicles
  • ECE 4800R - Independent Research

PREVIOUS TEACHING

  • At Texas A&M, Eves was active in the Center for the Integration of Research, Teaching, and Learning (CIRTL), where he was named a CIRTL Teaching Scholar and received the 2023 Bednarz Award.

EXPERIENCE

  • 4 years of teaching experience

RESEARCH & INTERESTS

  • Autonomy and robotics (dynamics and controls)
  • Aerospace applications
  • Adaptive and nonlinear control
  • Reinforcement learning
  • Aircraft stability
  • UAV flight testing

PUBLICATIONS & PROJECTS

  • Eves, K., Valasek, J., Leshikar, C. (2022). Novel multiple time scale adaptive control for uncertain nonlinear dynamical systems. Proposal to the Office of Naval Research. (PI: J. Valasek, awarded $597,468 over 3 years).
  • Eves, K., Valasek, J. (2023). “Adaptive control for singularly perturbed systems.” Open Journal of Control Systems.
  • Eves, K., Valasek, J. (2023). “Slow time scale adaptive control for multiple time scale systems.” Journal of Guidance, Control, and Dynamics, 46(2063). doi: 10.2514/1.G007439
  • Eves, K., Valasek, J. (2023). “Adaptive control for non-minimum phase systems via time scale separation.” American Control Conference (ACC). IEEE, pp. 4223–4228. doi: 10.23919/ACC55779.2023.10155827
  • van Wijk, D., Eves, K., Valasek, J. (2023). “Deep reinforcement learning controller for autonomous tracking of evasive ground target.” AIAA SciTech Forum, pp. 1–12. doi: 10.2514/6.2023-0128
  • Eves, K., Valasek, J. (2024). “Inlet unstart prevention by adaptive regulation using a nonlinear longitudinal timescale model.” AIAA SciTech Forum, pp. 1–17. doi: 10.2514/6.2024-2874
  • Eves, K., Valasek, J. (2025). “Reference model design in multiple timescale adaptive control.” AIAA SciTech Forum, pp. 1–16. doi: 10.2514/6.2025-2593

PRESENTATIONS

  • “Adaptive control for non-minimum phase systems via time scale separation.” American Control Conference,2023.
  • “Deep reinforcement learning controller for autonomous tracking of evasive ground target.” AIAA SciTech Forum, 2023.
  • “Inlet unstart prevention by adaptive regulation using a nonlinear longitudinal timescale model.” AIAA SciTech Forum, 2024.
  • “Reference model design in multiple timescale adaptive control.” AIAA SciTech Forum, 2025.
  • Panelist, “Artificial Intelligence in 2025,” Utah Tech Institute of Politics & Public Affairs Faculty Panel.

CONFERENCES & WORKSHOPS

  • American Control Conference (ACC), 2023
  • AIAA SciTech, 2024
  • AIAA SciTech, 2024

AWARDS & HONORS

  • CIRTL Teaching Scholar
  • CIRTL Bednarz Award, 2023
  • Eagle Scout