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Daniel Rivera

Daniel Rivera

Professor, School for Engineering of Matter, Transport and Engineering, Ira A. Fulton Schools of Engineering

Daniel.Rivera@asu.edu

480-086-9475

School for Engineering of Matter, Transport and Energy
Arizona State University
PO Box 876106
Tempe, AZ 85287-6106

Titles

  • Professor, School for Engineering of Matter, Transport and Engineering, Ira A. Fulton Schools of Engineering

Biography

Daniel E. Rivera is Professor of Chemical Engineering and Program Director for Arizona State University’s Control Systems Engineering Laboratory. Prior to joining ASU he was a member of the technical staff at Shell Development Company in Houston, Texas. He has been a visiting researcher with the Division of Automatic Control at Linköping University, Sweden, Honeywell Technology Center in Phoenix, AZ, the University "St. Cyril and Methodius, " in Skopje, Macedonia, the National Distance Learning University (UNED) in Madrid, Spain, and the University of Almería in Andalucía, Spain. His research interests include the topics of robust process control, system identification, and the application of control engineering principles to problems in process systems, supply chain management, and prevention and treatment interventions in behavioral health. In 2007, Dr. Rivera was awarded a K25 Mentored Quantitative Research Career Development Award from the National Institutes of Health to study control systems approaches for fighting drug abuse.

Journal Articles

2013

Hekler, E. B., M. P. Buman, N. Poothakandiyil, D. E. Rivera, J. M. Dzierzewski, A. Aiken Morgan, C. S. McCrae, B. L. Roberts, M. Marsiske and P. R. Glacobbi Jr. 2013. Exploring behavioral markers of long-term physical activity maintenance: A case study of system identification modeling within a behavioral intervention. Health Education & Behavior 40(1 suppl.):516-625. DOI: 10.1177/1090198113496787. (link )

Conference Papers

2014

Martin, C. A., D. E. Rivera, E. B. Hekler, M. P. Buman, M. A. Adams and A. C. King. 2014. A dynamical systems model of social cognitive theory. Pp. 2407-2412 Proceedings of the American Control Conference (ACC’14). American Control Conference (ACC’14). Portland, OR.

Timms, K. P., C. A. Martin, D. E. Rivera and E. B. Hekler. 2014. Leveraging intensive longitudinal data to better understand health behaviors. Pp. 6888-6891 Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Chicago, IL. (link )