Faculty

Institution

Unit

Venue

Asim Smailagic

Research Professor

Carnegie Mellon University

Affiliations

College of Engineering

Electrical & Computer Engineering

Asim Smailagic is currently serving as a College Of Engineering Research Professor at Carnegie Mellon University.

Honors

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Experiences

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Education

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Asim Smailagic

Carnegie Mellon University

Research Professor

You can click a keyword to filter the displayed items

computer science technology wearable technology systems engineering mobile computing machine learning human-computer interaction ubiquitous computing rehabilitation assistive technology wearable computer health technology wearable systems computer vision user interfaces stroke rehabilitation pattern recognition information technology deep learning pervasive computing wearable electronics health monitoring wireless communications machine vision activity recognition medical image analysis wearable sensors rehabilitation robotics thermal engineering computer-aided design human-machine interaction computer design wearable computing computer systems knowledge discovery gesture recognition mobile communication respiratory medicine higher education sensor technology human-ai interaction context awareness power consumption device design mobility support retina virtual coach stroke rehabilitation exercises digital systems design stroke rehabilitation assessment knowledge management biomedical informatics human robot interaction building engineering urgent computing monitoring technology location awareness user interface design medical technology benchmark studies accelerated design electronic design concurrent engineering socially assistive robots condition monitoring manufacturing engineering distraction-free pervasive computing wearable sensor platform carnegie mellon application design cmu wearable computers field programmable logic design education multi-disciplinary course user-centered interdisciplinary design concurrent design mobile interaction ubiquitous application design ambient intelligence

Notable Scholarly Works

Notable Federal Grants

Collaborators

Learning Frame-Level Classifiers for Video-Based Real-Time Assessment of Stroke Rehabilitation Exercises From Weakly Annotated Datasets. IEEE Transactions on Neural Systems and Rehabilitation Engineering (2025)

neurologyrehabilitationactivity recognitionvideo understandingneurorehabilitationcomputer visionframe-level classifiersweakly annotated datasetsmachine learning researchstroke rehabilitationstroke rehabilitation exercisesneurological rehabilitationstrokemachine learning

Design, Development, and Evaluation of an Interactive Personalized Social Robot to Monitor and Coach Post-Stroke Rehabilitation Exercises. User Modeling and User-Adapted Interaction (2023)

Min Hun LeeDaniel P. SiewiorekAsim SmailagicAlexandre BernardinoSergi Bermúdez i Badia

rehabilitationuser behavior modelingdesignhuman-computer interactionpost-stroke rehabilitation exercisesroboticsrehabilitation roboticssocial robotdesign researchstroke rehabilitationuser modeling

DEEPFIXCX: Explainable Privacy‐Preserving Image Compression for Medical Image Analysis. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023)

Alex GaudioAsim SmailagicChristos FaloutsosShreshta MohanElvin JohnsonYuhao LiuPedro CostaAurélio Campilho

informaticsdata privacydata miningdeep learningknowledge discoverydata scienceimage compressionmedical image analysismachine learningcomputer science

Skeleton Tracking Solutions for a Low-Cost Stroke Rehabilitation Support System. (2023)

Ana Rita CóiasMin Hun LeeAlexandre BernardinoAsim Smailagic

rehabilitationtracking systemsassistive technologyrehabilitation roboticsstroke rehabilitation

ZEBRA: Explaining Rare Cases Through Outlying Interpretable Concepts. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023)

Pedro MadeiraAndré CarreiroAlex GaudioLuís RosadoFilipe SoaresAsim Smailagic

rare casesanimal cognitioninterpretationlinguisticsbehavioral sciences

Ambulatory Monitoring and Ecological Momentary Assessment. Springer eBooks (2022)

Thomas W. KamarckMustafa al’AbsiDavid EpsteinEmre ErtinStephen IntilleGregory KirkSantosh KumarKenzie L. PrestonMark ReaVivek ShettySaul ShiffmanDan SiewiorekAsim SmailagicClem StoneManju Venugopal

public healthmental healthambulatory monitoringecological momentary assessmentecologyneuroscience

Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation With Therapists and Post-Stroke Survivors. International Journal of Social Robotics (2022)

Min Hun LeeDaniel P. SiewiorekAsim SmailagicAlexandre BernardinoSergi Bermúdez i Badia

rehabilitationpost-stroke survivorsroboticssocial roboticsartificial intelligencephysical rehabilitation therapyiterative designstroke rehabilitationasic implementation

Explainable Deep Learning for Non-Invasive Detection of Pulmonary Artery Hypertension From Heart Sounds. Computing in cardiology (2022)

"Alex GaudioMiguel CoimbraAurélio CampilhoAsim SmailagicSamuel Emil SchmidtFrancesco Renna"

pulmonary arterial hypertensionpulmonary artery hypertensionexplainable deep learningnon-invasive detectiondetection techniqueaudio analysisdeep learningpattern recognitionhealth sciencesheart sounds

HEARTSPOT: Privatized and Explainable Data Compression for Cardiomegaly Detection. 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (2022)

Elvin JohnsonShreshta MohanAlex GaudioAsim SmailagicChristos FaloutsosAurelio Campilho

explainable data compressionbiomedical informaticshealth informaticsdeep learningdata compressionmachine learninghealth sciencesexplainable ai

Privacy-Preserving Case-Based Explanations: Enabling Visual Interpretability by Protecting Privacy. IEEE Access (2022)

Helena MontenegroWilson SilvaAlex GaudioMatt FredriksonAsim SmailagicJaime S. Cardoso

technologymachine learningprivacy-preserving case-based explanationsvisual interpretability

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5
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Asim Smailagic

Research Professor

Carnegie Mellon University

Affiliations

College of Engineering

Electrical & Computer Engineering

Asim Smailagic is currently serving as a College Of Engineering Research Professor at Carnegie Mellon University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Asim Smailagic

Carnegie Mellon University

Research Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Design, Development, and Evaluation of an Interactive Personalized Social Robot to Monitor and Coach Post-Stroke Rehabilitation Exercises. User Modeling and User-Adapted Interaction (2023)

Min Hun LeeDaniel P. SiewiorekAsim SmailagicAlexandre BernardinoSergi Bermúdez i Badia

rehabilitationuser behavior modelingdesignhuman-computer interactionpost-stroke rehabilitation exercisesroboticsrehabilitation roboticssocial robotdesign researchstroke rehabilitationuser modeling

DEEPFIXCX: Explainable Privacy‐Preserving Image Compression for Medical Image Analysis. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023)

Alex GaudioAsim SmailagicChristos FaloutsosShreshta MohanElvin JohnsonYuhao LiuPedro CostaAurélio Campilho

informaticsdata privacydata miningdeep learningknowledge discoverydata scienceimage compressionmedical image analysismachine learningcomputer science

Skeleton Tracking Solutions for a Low-Cost Stroke Rehabilitation Support System. (2023)

Ana Rita CóiasMin Hun LeeAlexandre BernardinoAsim Smailagic

rehabilitationtracking systemsassistive technologyrehabilitation roboticsstroke rehabilitation

ZEBRA: Explaining Rare Cases Through Outlying Interpretable Concepts. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023)

Pedro MadeiraAndré CarreiroAlex GaudioLuís RosadoFilipe SoaresAsim Smailagic

rare casesanimal cognitioninterpretationlinguisticsbehavioral sciences

Ambulatory Monitoring and Ecological Momentary Assessment. Springer eBooks (2022)

Thomas W. KamarckMustafa al’AbsiDavid EpsteinEmre ErtinStephen IntilleGregory KirkSantosh KumarKenzie L. PrestonMark ReaVivek ShettySaul ShiffmanDan SiewiorekAsim SmailagicClem StoneManju Venugopal

public healthmental healthambulatory monitoringecological momentary assessmentecologyneuroscience

Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation With Therapists and Post-Stroke Survivors. International Journal of Social Robotics (2022)

Min Hun LeeDaniel P. SiewiorekAsim SmailagicAlexandre BernardinoSergi Bermúdez i Badia

rehabilitationpost-stroke survivorsroboticssocial roboticsartificial intelligencephysical rehabilitation therapyiterative designstroke rehabilitationasic implementation

Explainable Deep Learning for Non-Invasive Detection of Pulmonary Artery Hypertension From Heart Sounds. Computing in cardiology (2022)

"Alex GaudioMiguel CoimbraAurélio CampilhoAsim SmailagicSamuel Emil SchmidtFrancesco Renna"

pulmonary arterial hypertensionpulmonary artery hypertensionexplainable deep learningnon-invasive detectiondetection techniqueaudio analysisdeep learningpattern recognitionhealth sciencesheart sounds

HEARTSPOT: Privatized and Explainable Data Compression for Cardiomegaly Detection. 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (2022)

Elvin JohnsonShreshta MohanAlex GaudioAsim SmailagicChristos FaloutsosAurelio Campilho

explainable data compressionbiomedical informaticshealth informaticsdeep learningdata compressionmachine learninghealth sciencesexplainable ai

Privacy-Preserving Case-Based Explanations: Enabling Visual Interpretability by Protecting Privacy. IEEE Access (2022)

Helena MontenegroWilson SilvaAlex GaudioMatt FredriksonAsim SmailagicJaime S. Cardoso

technologymachine learningprivacy-preserving case-based explanationsvisual interpretability

1
2
3
4
5
32
10 / page

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Similar Faculty Members

Daniel Siewiorek

Institution

Carnegie Mellon University

design automation

pervasive computing

Fillia Makedon

Institution

University of Texas at Arlington

computing environment

memetic computing

Yiyu Shi

Institution

University of Notre Dame

computer engineering

ai healthcare

John Lach

Institution

George Washington University

embedded system

general system

Armando Barreto

Institution

Florida International University

industrial informatics

computer engineering

Edward Sazonov

Institution

University of Alabama

signal processing

non-contact sensing

Lav R Varshney

Institution

University of Illinois Urbana-Champaign

information theory

intelligent computing

Romit Roy Choudhury

Institution

University of Illinois Urbana-Champaign

data science

applied mathematics

Ruzena Bajcsy

Institution

University of California, Berkeley

computer vision

computer science

Wenyao Xu

Institution

University at Buffalo

design

sensor