In refereed journals

  • J. Maidens, J. W. Gordon, M. Arcak, P. E. Z. Larson, Optimizing flip angles for metabolic rate estimation in hyperpolarized carbon-13 MRI, IEEE Transactions on Medical Imaging, Submitted. Preprint.

  • J. Maidens, S. Kaynama, I. M. Mitchell, M. Oishi, G. A. Dumont, Lagrangian methods for approximating the viability kernel in high-dimensional systems, Automatica, vol. 49, pp.2017-2029, 2013. Preprint. doi:10.1016/j.automatica.2013.03.020.

In refereed conference proceedings

  • J. Maidens, M. Arcak, Semidefinite relaxations in optimal experiment design with application to substrate injection for hyperpolarized MRI. American Control Conference, 2016, Submitted. Preprint.

  • J. Maidens, P. E. Z. Larson, M. Arcak, Optimal experiment design for physiological parameter estimation using hyperpolarized carbon-13 magnetic resonance imaging. American Control Conference, Chicago, IL, pp. 5770-5775, 2015. Preprint. doi:10.1109/ACC.2015.7172243.

  • J. Maidens, M. Arcak, Trajectory-based reachability analysis of switched nonlinear systems using matrix measures, Conference on Decision and Control, Los Angeles, CA, pp.6358-6364, 2014. Preprint. doi:10.1109/CDC.2014.7040386.

  • J. Maidens, M. Y. Li, Global Lyapunov functions and a hierarchical control scheme for networks of robotic agents, American Control Conference, Washington, DC, pp.4050-4055, 2013. Preprint. doi:10.1109/ACC.2013.6580460.

  • S. Kaynama, J. Maidens, M. Oishi, I. M. Mitchell, G. A. Dumont, Computing the Viability Kernel Using Maximal Reachable Sets, Hybrid Systems Computation and Control, Beijing, China, pp.55-63, 2012. Preprint. doi:10.1145/2185632.2185644.

Master's thesis

  • J. Maidens, “Scalable computation of viability kernels and a viability-theoretic approach to guaranteeing safety for closed-loop medical devices,” Master of Applied Science Thesis, The University of British Columbia, 2012.