Daniel E. Rivera

1990- Bioengineering Arizona State University, Tempe, AZ, United States 
System Science Engineering, Behavioral Psychology, Biomedical Engineering
"Daniel Rivera"

Rivera, Daniel Eduardo Modeling requirements for process control. Dissertation (Ph.D.), California Institute of Technology (1987).


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Manfred Morari grad student 1987 Caltech (E-Tree)
 (Modeling requirements for process control.)


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Martin W. Braun grad student 2001 Arizona State
Hyunjin Lee grad student 2006 Arizona State
Wenlin Wang grad student 2006 Arizona State
Sunil Deshpande grad student 2014 Arizona State
Yuwen Dong grad student 2014 Arizona State
Kevin P. Timms grad student 2014 Arizona State
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Savage JS, Hohman EE, McNitt KM, et al. (2019) Uncontrolled Eating during Pregnancy Predicts Fetal Growth: The Healthy Mom Zone Trial. Nutrients. 11
Freigoun MT, Rivera DE, Guo P, et al. (2018) A Dynamical Systems Model of Intrauterine Fetal Growth. Mathematical and Computer Modelling of Dynamical Systems. 24: 661-687
Guo P, Rivera DE, Pauley AM, et al. (2018) A "Model-on-Demand" Methodology For Energy Intake Estimation to Improve Gestational Weight Control Interventions. Proceedings of the Ifac World Congress. International Federation of Automatic Control. World Congress. 51: 144-149
Pauley AM, Hohman E, Savage JS, et al. (2018) Gestational Weight Gain Intervention Impacts Determinants of Healthy Eating and Exercise in Overweight/Obese Pregnant Women. Journal of Obesity. 2018: 6469170
Hekler EB, Rivera DE, Martin CA, et al. (2018) Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions. Journal of Medical Internet Research. 20: e214
Symons Downs D, Savage JS, Rivera DE, et al. (2018) Individually Tailored, Adaptive Intervention to Manage Gestational Weight Gain: Protocol for a Randomized Controlled Trial in Women With Overweight and Obesity. Jmir Research Protocols. 7: e150
Phatak SS, Freigoun MT, Martín CA, et al. (2018) Modeling Individual Differences: A Case Study of the Application of System Identification for Personalizing a Physical Activity Intervention. Journal of Biomedical Informatics
Guo P, Rivera DE, Savage JS, et al. (2017) State Estimation Under Correlated Partial Measurement Losses: Implications for Weight Control Interventions. Proceedings of the Ifac World Congress. International Federation of Automatic Control. World Congress. 50: 13532-13537
Korinek EV, Phatak SS, Martin CA, et al. (2017) Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone-based walking intervention. Journal of Behavioral Medicine
Riley WT, Martin CA, Rivera DE, et al. (2016) Development of a dynamic computational model of social cognitive theory. Translational Behavioral Medicine. 6: 483-495
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