• Associate Department Head for Theoretical and Computational Research, Aerospace Engineering
  • Associate Professor, Aerospace Engineering
Kyle DeMars

Educational Background

  • Ph.D., Aerospace Engineering, The University of Texas at Austin – 2010
  • M.S.E., Aerospace Engineering, The University of Texas at Austin – 2007
  • B.S., Aerospace Engineering, The University of Texas at Austin – 2004

Research Interests

    • Space situational awareness
    • Navigation, guidance, and control
    • Bayesian filtering
    • Information theory
    • Multitarget tracking

Awards & Honors

  • St. Louis Section Young Professional Award, American Institute of Aeronautics and Astronautics (AIAA) – 2017
  • Faculty Research Award, Missouri S&T – 2016
  • Outstanding Teaching Award, Missouri S&T – 2015-2016
  • Advanced Exploration Systems Innovation Award, NASA – 2014

Selected Publications

  • James S. McCabe and Kyle J. DeMars, “Anonymous Feature-Based Terrain Relative Navigation,” Journal of Guidance, Control, and Dynamics (2020) 43:3, pp. 410-421, doi: 10.2514/1.G004423.
  • Renato Zanetti and Kyle J. DeMars, “Fully Multiplicative Unscented Kalman Filter for Attitude Estimation,” Journal of Guidance, Control, and Dynamics 41.5 (2018), pp. 1181–1187, doi: 10.2514/1.G003221.
  • James S. McCabe and Kyle J. DeMars, “Considering Uncertain Parameters in Single-Target and Multitarget Filtering,” Journal of Guidance, Control, and Dynamics 40.9 (2017), pp. 2138–2150, doi: 10.2514/1.G002785.
  • Jacob E. Darling and Kyle J. DeMars, “Minimization of the Kullback-Leibler Divergence for Nonlinear Estimation,” Journal of Guidance, Control, and Dynamics 40.7 (2017), pp. 1739–1748, doi: 10.2514/1.G002282.
  • K. DeMars and M. Gualdoni, “Information-Theoretic Approaches to Space Object Collision,” Journal of the British Interplanetary Society 70.2-4 (2017), pp. 85–97.