World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
9056
World Ranking
9583
National Ranking
4058

Research.com Recognitions

  • 2010 - IEEE Fellow For contributions to wearable, pervasive, and context aware computing

Overview

Asim Smailagic is affiliated with Carnegie Mellon University in the United States. Their research spans the intersection of medicine and computer science, with a particular focus on radiology, nuclear medicine and imaging, artificial intelligence, rehabilitation, computer vision and pattern recognition, as well as public health, environmental and occupational health.

The primary topics of their work include stroke rehabilitation and recovery, COVID-19 diagnosis using AI, explainable artificial intelligence (XAI), telemedicine and telehealth implementation, advanced neural network applications, retinal imaging and analysis, and radiomics and machine learning in medical imaging.

Their recent publications highlight contributions to physical rehabilitation therapy and medical image analysis. 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
  • O-MedAL: Online active deep learning for medical image analysis, 2020, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • 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

Frequent collaborators include Aurélio Campilho, Min Hun Lee, Daniel P. Siewiorek, Alexandre Bernardino, and Alex Gaudio.

The scientist's work has been published repeatedly in venues such as arXiv (Cornell University), Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, International Journal of Social Robotics, User Modeling and User-Adapted Interaction, and Proceedings of the ACM on Human-Computer Interaction.

Asim Smailagic was recognized as an IEEE Fellow in 2010 for contributions to wearable, pervasive, and context-aware computing.

Best Publications

  • Project Aura: toward distraction-free pervasive computing

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

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

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

  • SenSay: a context-aware mobile phone

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

  • Location sensing and privacy in a context-aware computing environment

    A. Smailagic;D. Kogan

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

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

  • 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

  • Unsupervised, dynamic identification of physiological and activity context in wearable computing

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

  • The design of a wearable computer

    Len Bass;Chris Kasabach;Richard Martin;Dan Siewiorek

  • Trading off prediction accuracy and power consumption for context-aware wearable computing

    A. Krause;M. Ihmig;E. Rankin;D. Leong

  • Portable computer system with ergonomic input device

    Asim Smailagic;Daniel P. Siewiorek;John M. Stivoric;Drew Anderson

  • eWatch: a wearable sensor and notification platform

    U. Maurer;A. Rowe;A. Smailagic;D.P. Siewiorek

  • Location and activity recognition using ewatch: a wearable sensor platform

    Uwe Maurer;Anthony Rowe;Asim Smailagic;Daniel Siewiorek

  • A Human-AI Collaborative Approach for Clinical Decision Making on Rehabilitation Assessment

    Min Hun Lee;Daniel P. P. Siewiorek;Asim Smailagic;Alexandre Bernardino

  • Matching interface design with user tasks. Modalities of interaction with CMU wearable computers

    A. Smailagic;D.P. Siewiorek

  • Digital Systems Design and Prototyping Using Field Programmable Logic

    Zoran Salcic;Asim Smailagic

  • Undergraduate embedded system education at Carnegie Mellon

    Philip Koopman;Howie Choset;Rajeev Gandhi;Bruce Krogh

  • Toward context-aware computing: experiences and lessons

    J. Anhalt;A. Smailagic;D.P. Siewiorek;F. Gemperle

  • MoCCA: a Mobile Communication and Computing Architecture

    A. Smailagic;D. Siewiorek;L. Bass;B. Iannucci

  • Rapid design and manufacture of wearable computers

    S. Finger;M. Terk;E. Subrahamanian;C. Kasabach

  • Adtranz: a mobile computing system for maintenance and collaboration

    D. Siewiorek;A. Smailagic;L. Bass;J. Siegel

Frequent Co-Authors

Daniel P. Siewiorek
Daniel P. Siewiorek Carnegie Mellon University
Alexandre Bernardino
Alexandre Bernardino Instituto Superior Técnico
Aurélio Campilho
Aurélio Campilho University of Porto
Richard P. Martin
Richard P. Martin Rutgers, The State University of New Jersey
Anind K. Dey
Anind K. Dey University of Washington
Saul Shiffman
Saul Shiffman University of Pittsburgh
Len Bass
Len Bass Carnegie Mellon University
James H. Garrett
James H. Garrett Carnegie Mellon University
Andreas Krause
Andreas Krause ETH Zurich
Anthony Rowe
Anthony Rowe Carnegie Mellon University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As the field of Computer Science evolves, many students explore related disciplines to expand their expertise and boost their career prospects. Considering a dual focus or additional training can significantly enhance your qualifications in today’s job market.

Students interested in theoretical foundations may want to explore a physics degree online. Physics offers strong analytical and problem-solving skills that are highly valued in tech roles.

For those drawn to big data, there are numerous data science degrees available online at affordable rates. Data science is a rapidly growing field with high earning potential and diverse job options.

If hardware and systems engineering interest you, consider reviewing the top online electrical engineering schools in the USA. This pathway combines computer science with physical engineering, opening doors to unique careers.

Short-term options are also available for those wanting to quickly upskill. Check out 3-month certificate programs that pay well for flexible pathways into the tech industry or for supplementing your computer science background.

Best Scientists Citing Asim Smailagic

Trending Scientists