World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
22692
World Ranking
1489
National Ranking
777

Research.com Recognitions

  • 2005 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2000 - Member of the National Academy of Engineering For contributions to wearable computers, multiprocessor design, reliable systems, and automated design synthesis.
  • 1994 - ACM Fellow In recognition of outstanding technical and professional achievements in the field of information technology.
  • 1988 - ACM - IEEE CS Eckert-Mauchly Award For outstanding contributions in parallel computer architecture, reliability, and computer architecture education.
  • 1981 - IEEE Fellow For contributions to the design of modular computer systems.

Overview

Daniel P. Siewiorek is affiliated with Carnegie Mellon University in the United States. Their research expertise spans the fields of Medicine and Computer Science, with notable contributions to subfields such as Rehabilitation, Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health, Human-Computer Interaction, and Applied Psychology.

The scientist's recent publications focus heavily on stroke rehabilitation and recovery, reflecting a sustained interest in medical applications of computing. Notable papers include:

  • Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-stroke Survivors (2022), International Journal of Social Robotics
  • Co-Design and Evaluation of an Intelligent Decision Support System for Stroke Rehabilitation Assessment (2020), Proceedings of the ACM on Human-Computer Interaction
  • Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises (2023), User Modeling and User-Adapted Interaction
  • The Efficacy of a Multicomponent Functional Fitness Program Based on Exergaming on Cognitive Functioning of Healthy Older Adults: A Randomized Controlled Trial (2020), Journal of Aging and Physical Activity
  • Opportunities of a Machine Learning-based Decision Support System for Stroke Rehabilitation Assessment (2020), arXiv (Cornell University)

These publications address topics such as context-aware activity recognition systems, telemedicine and telehealth implementation, digital mental health interventions, balance, gait, and falls prevention, EEG and brain-computer interfaces, and dementia and cognitive impairment research.

Frequent collaborators include Asim Smailagic, Alexandre Bernardino, Min Hun Lee, Sergi Bermúdez i Badia, and Élvio Rúbio Gouveia.

The scientist has contributed articles regularly to venues such as arXiv (Cornell University), IEEE Pervasive Computing, International Journal of Social Robotics, User Modeling and User-Adapted Interaction, and Proceedings of the ACM on Human-Computer Interaction.

Recognition for their career includes several honors:

  • Member of the National Academy of Engineering (2000) for contributions to wearable computers, multiprocessor design, reliable systems, and automated design synthesis
  • Fellow of the American Association for the Advancement of Science (AAAS) (2005)
  • ACM Fellow (1994) for outstanding technical and professional achievements in information technology
  • ACM - IEEE CS Eckert-Mauchly Award (1988) for contributions in parallel computer architecture, reliability, and computer architecture education
  • IEEE Fellow (1981) for contributions to the design of modular computer systems

Best Publications

  • Project Aura: toward distraction-free pervasive computing

    D. Garlan;D.P. Siewiorek;A. Smailagic;P. Steenkiste

  • The theory and practice of reliable system design

    Daniel P. Siewiorek;Robert S. Swarz

  • Activity recognition and monitoring using multiple sensors on different body positions

    U. Maurer;A. Smailagic;D.P. Siewiorek;M. Deisher

  • Automated Synthesis of Data Paths in Digital Systems

    Chia-Jeng Tseng;D.P. Siewiorek

  • Reliable Computer Systems: Design and Evaluation

    Daniel P. Siewiorek;Robert S. Swarz

  • A resource allocation model for QoS management

    R. Rajkumar;C. Lee;J. Lehoczky;D. Siewiorek

  • High-availability computer systems

    J. Gray;D.P. Siewiorek

  • SenSay: a context-aware mobile phone

    D. Siewiorek;A. Smailagic;J. Furukawa;A. Krause

  • Computer Structures: Principles and Examples

    Daniel P. Siewiorek;G. Bell;A. C. Newell

  • Cm*: a modular, multi-microprocessor

    R. J. Swan;S. H. Fuller;D. P. Siewiorek

  • Fault injection experiments using FIAT

    J.H. Barton;E.W. Czeck;Z.Z. Segall;D.P. Siewiorek

  • FIAT-fault injection based automated testing environment

    Z. Segall;D. Vrsalovic;D. Siewiorek;D. Yaskin

  • A scalable solution to the multi-resource QoS problem

    C. Lee;J. Lehoczky;D. Siewiorek;R. Rajkumar

  • Generalized feature extraction for structural pattern recognition in time-series data

    Robert Thomas Olszewski;Roy Maxion;Dan Siewiorek

  • Continuous inference of psychological stress from sensory measurements collected in the natural environment

    Kurt Plarre;Andrew Raij;Syed Monowar Hossain;Amin Ahsan Ali

  • Automated robustness testing of off-the-shelf software components

    N.P. Kropp;P.J. Koopman;D.P. Siewiorek

  • On quality of service optimization with discrete QoS options

    Chen Lee;J. Lehoezky;R. Rajkumar;D. Siewiorek

  • Practical solutions for QoS-based resource allocation problems

    R. Rajkumar;Chen Lee;J.P. Lehoczky;D.P. Siewiorek

  • Ecological Momentary Assessment in Behavioral Research: Addressing Technological and Human Participant Challenges.

    Lora E Burke;Saul Shiffman;Edvin Music;Mindi A Styn

  • Context-aware mobile computing: learning context- dependent personal preferences from a wearable sensor array

    A. Krause;A. Smailagic;D.P. Siewiorek

  • Error log analysis: statistical modeling and heuristic trend analysis

    T.-T.Y. Lin;D.P. Siewiorek

Frequent Co-Authors

Asim Smailagic
Asim Smailagic Carnegie Mellon University
Lee E. Weiss
Lee E. Weiss Carnegie Mellon University
Philip Koopman
Philip Koopman Carnegie Mellon University
Fritz B. Prinz
Fritz B. Prinz Stanford University
Alexandre Bernardino
Alexandre Bernardino Instituto Superior Técnico
Aaron Steinfeld
Aaron Steinfeld Carnegie Mellon University
Len Bass
Len Bass Carnegie Mellon University
Jason Hong
Jason Hong Carnegie Mellon University
Anthony Rowe
Anthony Rowe Carnegie Mellon University
Sara Kiesler
Sara Kiesler Carnegie Mellon University

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