World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
10006
World Ranking
4809
National Ranking
1683

Overview

Daniel E. Rivera is affiliated with Arizona State University in the United States. Their research spans multiple fields, primarily within Medicine and Psychology, with significant contributions to subfields such as Applied Psychology, Experimental and Cognitive Psychology, Control and Systems Engineering, Physiology, and Public Health, Environmental and Occupational Health.

The scientist's work concentrates on key topics including Behavioral Health and Interventions, Mental Health Research, Physical Activity and Health, Gestational Diabetes Research and Management, Digital Mental Health Interventions, Obesity, Physical Activity, and Diet, as well as Advanced Control Systems Optimization.

They have published extensively in several prominent venues. Frequent publication outlets include IFAC-PapersOnLine, JMIR Research Protocols, the 2022 American Control Conference (ACC), Journal of Animal Science, and Control Engineering Practice.

Their recent papers showcase a range of research interests with a focus on behavioral interventions and physical activity:

  • Adaptive, behavioral intervention impact on weight gain, physical activity, energy intake, and motivational determinants: results of a feasibility trial in pregnant women with overweight/obesity, 2021, Journal of Behavioral Medicine
  • Goal setting and achievement for walking: A series of N-of-1 digital interventions, 2020, Health Psychology
  • Engineering Person-Specific Behavioral Interventions to Promote Physical Activity, 2020, Exercise and Sport Sciences Reviews
  • Advancing Behavioral Intervention and Theory Development for Mobile Health: The HeartSteps II Protocol, 2022, International Journal of Environmental Research and Public Health
  • Advancing Understanding of Just-in-Time States for Supporting Physical Activity (Project JustWalk JITAI): Protocol for a System ID Study of Just-in-Time Adaptive Interventions, 2023, JMIR Research Protocols

Collaborations form a notable part of their work. Frequent co-authors include Eric B. Hekler, Mohamed El Mistiri, Predrag Klasnja, Danielle Symons Downs, and Sarasij Banerjee.

Best Publications

  • Internal model control: PID controller design

    Daniel E. Rivera;Manfred Morari;Sigurd Skogestad

  • Health behavior models in the age of mobile interventions: are our theories up to the task?

    William T Riley;Daniel E Rivera;Audie A Atienza;Wendy Nilsen

  • Evaluating Digital Health Interventions: Key Questions and Approaches.

    Elizabeth Murray;Eric B. Hekler;Gerhard Andersson;Linda M. Collins

  • Agile science: creating useful products for behavior change in the real world.

    Eric B. Hekler;Predrag Klasnja;William T. Riley;Matthew P. Buman

  • A MODEL PREDICTIVE CONTROL FRAMEWORK FOR ROBUST MANAGEMENT OF MULTI-PRODUCT, MULTI-ECHELON DEMAND NETWORKS

    M. W. Braun;Daniel Rivera;W. M. Carlyle;K. G. Kempf

  • Simulation-based optimization of process control policies for inventory management in supply chains

    Jay D. Schwartz;Wenlin Wang;Daniel E. Rivera

  • Advancing Models and Theories for Digital Behavior Change Interventions

    Eric B. Hekler;Susan Michie;Misha Pavel;Daniel E. Rivera

  • Using engineering control principles to inform the design of adaptive interventions: A conceptual introduction

    Daniel E. Rivera;Michael D. Pew;Linda M. Collins

  • Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research.

    Donna Spruijt-Metz;Eric Hekler;Niilo Saranummi;Stephen Intille

  • Model predictive control strategies for supply chain management in semiconductor manufacturing

    Wenlin Wang;Daniel E. Rivera;Karl G. Kempf

  • IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

    Francis J. Doyle;A. Bazanella;S. Devasia;R. Erwin

  • "Plant-Friendly" system identification: a challenge for the process industries

    Daniel E. Rivera;Hyunjin Lee;Martin W. Braun;Hans D. Mittelmann

  • Constrained multisine input signals for plant-friendly identification of chemical process systems

    Daniel E. Rivera;Hyunjin Lee;Hans D. Mittelmann;Martin W. Braun

  • Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions

    Eric B Hekler;Daniel E Rivera;Cesar A Martin;Cesar A Martin;Sayali S Phatak

  • A hierarchical approach to production control of reentrant semiconductor manufacturing lines

    F.D. Vargas-Villamil;D.E. Rivera;K.G. Kempf

  • A process control approach to tactical inventory management in production-inventory systems

    Jay D. Schwartz;Daniel E. Rivera

  • A 'Model-on-Demand' identification methodology for non-linear process systems

    Martin W. Braun;Daniel E. Rivera;Anders Stenman

  • A dynamical model for describing behavioural interventions for weight loss and body composition change

    J.-Emeterio Navarro-Barrientos;Daniel E. Rivera;Linda M. Collins

  • Control-relevant prefiltering: a systematic design approach and case study

    D.E. Rivera;I.F. Pollard;C.E. Garcia

  • Model Predictive Control for Tactical Decision-Making in Semiconductor Manufacturing Supply Chain Management

    Wenlin Wang;D.E. Rivera

  • A dynamical systems model of Social Cognitive Theory

    Cesar A. Martin;Daniel E. Rivera;William T. Riley;Eric B. Hekler

  • Control-relevant model reduction problems for SISO H2, H∞, and μ-controller synthesis

    Daniel E. Rivera;Manfred Morari

Frequent Co-Authors

Eric B. Hekler
Eric B. Hekler University of California, San Diego
Linda M. Collins
Linda M. Collins New York University
Matthew P. Buman
Matthew P. Buman Arizona State University
José Luis Guzmán
José Luis Guzmán University of Almería
Sebastián Dormido
Sebastián Dormido National University of Distance Education
Manuel Berenguel
Manuel Berenguel University of Almería
Manfred Morari
Manfred Morari University of Pennsylvania
Marc A. Adams
Marc A. Adams Arizona State University
Donna Spruijt-Metz
Donna Spruijt-Metz University of Southern California
Eduardo F. Camacho
Eduardo F. Camacho University of Seville

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