Faculty

Institution

Unit

Venue

Erdem Koyuncu

Associate Professor

University of Illinois Chicago

Affiliations

College of Engineering

Electrical and Computer Engineering

Erdem Koyuncu is currently serving as a College Of Engineering Associate Professor at University of Illinois Chicago.

Honors

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Experiences

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Education

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Erdem Koyuncu

University of Illinois Chicago

Associate Professor

You can click a keyword to filter the displayed items

computer science communications systems electrical engineering machine learning wireless communications signal processing systems engineering applied mathematics beamforming digital signal processing networked system design telecommunication networks machine learning research federated learning relay network quantized feedback unmanned aerial vehicles edge computing pattern recognition distributed systems deep learning information theory mimo system quantization (signal processing) information technology principal component analysis variable-length limited feedback limited feedback wireless personal communication global networks kernel methods channel capacity estimation multicast amplify-and-forward relay networks computational statistics deployment strategy radio communication software-defined networking communication engineering statistical signal processing network theory network algorithms network topology minimum outage probability statistical methodology vehicular technology intelligent computing speech processing clinical transplantation robot learning entropy trajectory optimization millimeter wave technology fault management radio propagation power efficiency adaptive computing anomaly detection channel estimation vehicle technology benchmark studies resolvent kernel training systems resource allocation dynamic networks wireless relay networks node deployment optimal antenna deployment massive mimo systems performance gains neural network reliable image processing multiple-antenna fading channels minimum average distortion index-dependent distortion measures power-efficient deployment communication theory communication architecture

Notable Scholarly Works

Notable Federal Grants

Collaborators

Class Based Thresholding in Early Exit Semantic Segmentation Networks. IEEE Signal Processing Letters (2024)

Alperen GörmezErdem Koyuncu

image segmentationcomputer sciencesignal processingcomputer visionnetwork segmentationpattern recognitionmachine learning

Contrastive and Non-Contrastive Strategies for Federated Self-Supervised Representation Learning and Deep Clustering. IEEE Journal of Selected Topics in Signal Processing (2024)

Runxuan MiaoErdem Koyuncu

computer sciencesignal processingnon-contrastive strategiesstatistical signal processingfederated learningdeep clusteringself-supervised learning

Federated Momentum Contrastive Clustering. ACM Transactions on Intelligent Systems and Technology (2024)

Runxuan MiaoErdem Koyuncu

computer sciencesystems engineeringintelligent automationintelligent systemsclusteringtechnologyunsupervised machine learningintelligent computingfederated structurefederated learningmomentum contrastive clusteringpattern recognitionmachine learning

Information Theory in Emerging Wireless Communication Systems and Networks. Entropy (2024)

Erdem Koyuncu

wireless communicationswireless networkscommunicationinformation theoryentropywireless communication systems

Predictive Capacities of a Machine Learning Decision Tree Model Created to Analyse Feasibility of an Open or Robotic Kidney Transplant. International Journal of Medical Robotics and Computer Assisted Surgery (2024)

Alessandro MartininoOjus KhanolkarErdem KoyuncuEgor PetrochenkovGiulia BenciniJoanna OlazarPierpaolo Di CoccoJorge Almario‐AlvarezMario SpaggiariEnrico BenedettiIvo Tzvetanov

transplant surgerybiostatisticsdecision treeskidney transplantationrobot learningpredictive capacitiesbiomedical engineeringcomputer-assisted surgerydecision tree learningmedicineclinical transplantationrobotic kidney transplantdecision tree modelroboticsmachine learning

Adaptive and Resilient Model-Distributed Inference in Edge Computing Systems. IEEE Open Journal of the Communications Society (2023)

Pengzhen LiErdem KoyuncuHulya Seferoglu

systems engineeringresilient model-distributed inferenceresilienceadaptive computingedge computingmachine learning

Federated Representation Learning Through Clustering. (2023)

Runxuan MiaoErdem Koyuncu

clusteringsupervised learningfederated learningdata sciencenatural language processingmachine learning

Model-Distributed Inference in Multi-Source Edge Networks. (2023)

Pengzhen LiHulya SeferogluErdem Koyuncu

computer sciencemodel-distributed inferencedeep learningedge computingmulti-source edge networksmachine learning

Random Walking Snakes for Decentralized Learning at Edge Networks. (2023)

Alp Berke ArdicHulya SeferogluSalim El RouayhebErdem Koyuncu

edge networkscomputer sciencefederated learningdistributed learningmachine learning

Resource-Efficient Federated Clustering With Past Negatives Pool. (2023)

Runxuan MiaoErdem Koyuncu

clusteringunsupervised machine learningpast negatives poolfederated learningdata sciencemachine learning

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Erdem Koyuncu

Associate Professor

University of Illinois Chicago

Affiliations

College of Engineering

Electrical and Computer Engineering

Erdem Koyuncu is currently serving as a College Of Engineering Associate Professor at University of Illinois Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Erdem Koyuncu

University of Illinois Chicago

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Class Based Thresholding in Early Exit Semantic Segmentation Networks. IEEE Signal Processing Letters (2024)

Alperen GörmezErdem Koyuncu

image segmentationcomputer sciencesignal processingcomputer visionnetwork segmentationpattern recognitionmachine learning

Contrastive and Non-Contrastive Strategies for Federated Self-Supervised Representation Learning and Deep Clustering. IEEE Journal of Selected Topics in Signal Processing (2024)

Runxuan MiaoErdem Koyuncu

computer sciencesignal processingnon-contrastive strategiesstatistical signal processingfederated learningdeep clusteringself-supervised learning

Federated Momentum Contrastive Clustering. ACM Transactions on Intelligent Systems and Technology (2024)

Runxuan MiaoErdem Koyuncu

Information Theory in Emerging Wireless Communication Systems and Networks. Entropy (2024)

Erdem Koyuncu

wireless communicationswireless networkscommunicationinformation theoryentropywireless communication systems

Alessandro MartininoOjus KhanolkarErdem KoyuncuEgor PetrochenkovGiulia BenciniJoanna OlazarPierpaolo Di CoccoJorge Almario‐AlvarezMario SpaggiariEnrico BenedettiIvo Tzvetanov

Adaptive and Resilient Model-Distributed Inference in Edge Computing Systems. IEEE Open Journal of the Communications Society (2023)

Pengzhen LiErdem KoyuncuHulya Seferoglu

systems engineeringresilient model-distributed inferenceresilienceadaptive computingedge computingmachine learning

Federated Representation Learning Through Clustering. (2023)

Runxuan MiaoErdem Koyuncu

clusteringsupervised learningfederated learningdata sciencenatural language processingmachine learning

Model-Distributed Inference in Multi-Source Edge Networks. (2023)

Pengzhen LiHulya SeferogluErdem Koyuncu

computer sciencemodel-distributed inferencedeep learningedge computingmulti-source edge networksmachine learning

Random Walking Snakes for Decentralized Learning at Edge Networks. (2023)

Alp Berke ArdicHulya SeferogluSalim El RouayhebErdem Koyuncu

edge networkscomputer sciencefederated learningdistributed learningmachine learning

Resource-Efficient Federated Clustering With Past Negatives Pool. (2023)

Runxuan MiaoErdem Koyuncu

clusteringunsupervised machine learningpast negatives poolfederated learningdata sciencemachine learning

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