Enhanced Social Cognitive Theory Dynamic Modeling and Simulation Towards Improving the Estimation of "Just-In-Time" States. - Mohamed El Mistiri; Daniel E. Rivera; Predrag V. Klasnja; Junghwan Park; Eric B. Hekler (ACC, 2022)

Model Predictive Control Strategies for Optimized mHealth Interventions for Physical Activity. - Mohamed El Mistiri; Daniel E. Rivera; Predrag V. Klasnja; Junghwan Park; Eric B. Hekler (ACC, 2022)

A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems: Application to Optimized Interventions for Physical Activity. - Owais Khan; Mohamed El Mistiri; Daniel E. Rivera; Cesar A. Martin; Eric B. Hekler (CDC, 2022)

BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data. - Karine Tung; Steven De La Torre; Mohamed El Mistiri; Rebecca Braga De Braganca; Eric B. Hekler; Misha Pavel; Daniel E. Rivera; Pedja Klasnja; Donna Spruijt-Metz; Benjamin M. Marlin (CHASE, 2022)

BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data. - Karine Tung; Steven De La Torre; Mohamed El Mistiri; Rebecca Braga De Braganca; Eric B. Hekler; Misha Pavel; Daniel E. Rivera; Pedja Klasnja; Donna Spruijt-Metz; Benjamin M. Marlin (CoRR, 2022)

System Identification and Hybrid Model Predictive Control in Personalized mHealth Interventions for Physical Activity. - Mohamed El Mistiri; Owais Khan; Daniel E. Rivera; Eric B. Hekler (ACC, 2023)

Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach. - Steven De La Torre; Mohamed El Mistiri; Eric B. Hekler; Predrag Klasnja; Benjamin M. Marlin; Misha Pavel; Donna Spruijt-Metz; Daniel E. Rivera (J. Biomed. Informatics, 2024)