A Control Systems Engineering Approach to Optimized Interventions for Gestational Weight Gain A Control Systems Engineering Approach to Optimized Interventions for Gestational Weight Gain Dr. Daniel E. Rivera of the Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy at Arizona State University is co-Principal Investigator on the project. In collaboration with Dr. Danielle S. Downs at Penn State University, he will set the research agenda and will be responsible for conducting and supervising all project-related research that is performed at Arizona State. Research activities to be conducted by Dr. Rivera and a graduate research assistant during this 5- year project include: 1. Provide guidance to PI Danielle Downs and other co-investigators in aspects of the data collection and experimental procedures that will lead to informative intensive longitudinal data for the gestational weight gain intervention. This data will be analyzed by the ASU team and using system identification tools, will lead to dynamical systems models useful for analysis and intervention optimization. 2. The ASU team will furthermore lead efforts to develop an optimized intervention for gestational weight gain based on control systems engineering fundamentals, and will collaborate closely with the Penn State PI and other investigators to insure that the optimized intervention system is practical in nature and meaningful in a behavioral intervention setting. Developing this optimized intervention will require building a simulation model and corresponding decision framework using MATLAB with Simulink. 3. The ASU team will work with the PI to assure for timely completion of the proposed research activities, assist with manuscript and presentation preparation, and assist with writing the future grant application to test the intervention in a RCT.
|Effective start/end date||8/15/13 → 4/30/19|
- HHS: National Institutes of Health (NIH): $477,085.00
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