Peer-Reviewed Journal Publications

Chapman, et al., “Modeling differentiation-state transitions that are linked to therapeutic escape in triple-negative breast cancer,” PLoS Computational Biology, 2019. PDF Code

Risom, Langer, Chapman*, Rantala*, et al., “Differentiation-state plasticity is a targetable resistance mechanism in basal-like breast cancer,” Nature Communications, 2018. *equal PDF Code

Journal Paper Under Review

Chapman, et al., “Risk-sensitive safety specifications for stochastic systems using Conditional Value-at-Risk,” under review for IEEE Transactions on Automatic Control. PDF Code

Peer-Reviewed Conference Proceedings

Chapman, et al., “A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems,” American Control Conference, 2019. PDF Extended PDF Code

Chapman, et al., “On the Analysis of Cyclic Drug Schedules for Cancer Treatment using Switched Dynamical Systems,” in 57th IEEE Conference on Decision and Control, December 2018. PDF Code

Chapman, et al., “Reachability Analysis as a Design Tool for Stormwater Systems,” in 6th IEEE Conference on Technologies for Sustainability, November 2018. PDF Code

Chapman, et al., “A model of phenotypic state dynamics initiates a promising approach to control heterogeneous malignant cell populations,” in 55th IEEE Conference on Decision and Control, December 2016. PDF Code

Chapman, et al., “Position and velocity cursor mappings contribute to distinct muscle forces in simulated isometric and movement reaching,” in 5th IEEE Conference on Biomedical Robotics and Biomechatronics, August 2014. PDF

Fridovich-Keil, Hanford, Chapman, et al., “A Model Predictive Control Approach to Flow Pacing for TCP,” in 55th Allerton Conference on Communication, Control, and Computing, October 2017. PDF

Journal Paper in Preparation

Chapman, et al., “A comparability study of safety analysis methods with applications to design of flood control systems,” in preparation for IEEE Transactions on Control Systems Technology.