World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7639
World Ranking
7998
National Ranking
3439

Electronics and Electrical Engineering

D-Index
42
Citations
7181
World Ranking
4112
National Ranking
1471

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions in nonlinear signal processing

Overview

Kenneth E. Barner is affiliated with the University of Delaware in the United States. The primary field of study for this researcher is computer science, with a focus on several subfields such as artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, cognitive neuroscience, and education.

The scientist's research work spans multiple topics, including:

  • Adversarial Robustness in Machine Learning
  • Autism Spectrum Disorder Research
  • Child Development and Digital Technology
  • AI in Cancer Detection
  • Medical Image Segmentation Techniques
  • Anomaly Detection Techniques and Applications
  • Assistive Technology in Communication and Mobility

Kenneth E. Barner has contributed to several recent papers, including:

  • "MMASD: A Multimodal Dataset for Autism Intervention Analysis" (2023), published in the INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
  • "Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks" (2020), published on arXiv (Cornell University)
  • "Conformal prediction based active learning by linear regression optimization" (2020), published in Neurocomputing
  • "Detection of intra-beat waves on ambulatory ECG using manifolds: An explainable deep learning approach" (2025), published in Biomedical Signal Processing and Control
  • "D-DDPM: Deep Denoising Diffusion Probabilistic Models for Lesion Segmentation and Data Generation in Ultrasound Imaging" (2025), published in IEEE Access

The frequent collaborators in this researcher's work include:

  • Samet Bayram (5 collaborations)
  • Abdalrahman Alblwi (4 collaborations)
  • Vuthea Chheang (3 collaborations)
  • Anjana Bhat (3 collaborations)
  • Carmen Plaza-Seco (3 collaborations)

Publication venues where Kenneth E. Barner has frequently contributed are:

  • arXiv (Cornell University) - 8 publications
  • IEEE Access - 2 publications
  • INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION - 1 publication
  • Biomedical Signal Processing and Control - 1 publication
  • Neurocomputing - 1 publication

Kenneth E. Barner received the IEEE Fellow award in 2016 for contributions in nonlinear signal processing.

Best Publications

  • ECG signal denoising and baseline wander correction based on the empirical mode decomposition

    Manuel Blanco-Velasco;Binwei Weng;Kenneth E. Barner

  • A novel application of deep learning for single-lead ECG classification.

    Sherin M. Mathews;Sherin M. Mathews;Chandra Kambhamettu;Kenneth E. Barner

  • Rank conditioned rank selection filters for signal restoration

    R.C. Hardie;K.E. Barner

  • Automatic visual to tactile translation. I. Human factors, access methods and image manipulation

    T.P. Way;K.E. Barner

  • Compressed sensing based method for ECG compression

    Luisa F. Polania;Rafael E. Carrillo;Manuel Blanco-Velasco;Kenneth E. Barner

  • Design of a haptic data visualization system for people with visual impairments

    J.P. Fritz;K.E. Barner

  • Fuzzy vector median-based surface smoothing

    Yuzhong Shen;K.E. Barner

  • Rayleigh-Maximum-Likelihood Filtering for Speckle Reduction of Ultrasound Images

    T.C. Aysal;K.E. Barner

  • Robust Sampling and Reconstruction Methods for Sparse Signals in the Presence of Impulsive Noise

    R.E. Carrillo;K.E. Barner;T.C. Aysal

  • ECG denoising based on the empirical mode decomposition.

    Binwei Weng;Manuel Blanco-Velasco;Kenneth E. Barner

  • Nonlinear system identification in impulsive environments

    Binwei Weng;K.E. Barner

  • Exploiting Prior Knowledge in Compressed Sensing Wireless ECG Systems

    Luisa F. Polania;Rafael E. Carrillo;Manuel Blanco-Velasco;Kenneth E. Barner

  • Sensor Data Cryptography in Wireless Sensor Networks

    T.C. Aysal;K.E. Barner

  • Constrained Decentralized Estimation Over Noisy Channels for Sensor Networks

    T.C. Aysal;K.E. Barner

  • Nonlinear Signal and Image Processing: Theory, Methods, and Applications

    Kenneth Barner;Gonzalo R. Arce

  • Tremor suppression through impedance control

    S. Pledgie;K.E. Barner;S.K. Agrawal;T. Rahman

  • Automatic visual to tactile translation. II. Evaluation of the TACTile image creation system

    T.P. Way;K.E. Barner

  • Classification of Histology Sections via Multispectral Convolutional Sparse Coding

    Yin Zhou;Hang Chang;Kenneth Barner;Paul Spellman

  • ECG compression with retrieved quality guaranteed

    M. Blanco-Velasco;F. Cruz-Roldan;J.I. Godino-Llorente;K.E. Barner

  • Meridian Filtering for Robust Signal Processing

    T.C. Aysal;K.E. Barner

  • Exploiting Prior Knowledge in Compressed Sensing Exploiting Prior Knowledge in Compressed Sensing Wireless ECG Systems

    Luisa F. Polania;Rafael E. Carrillo;Manuel Blanco-Velasco;Kenneth E. Barner

Frequent Co-Authors

Gonzalo R. Arce
Gonzalo R. Arce University of Delaware
Juan Ignacio Godino-Llorente
Juan Ignacio Godino-Llorente Technical University of Madrid
Chandra Kambhamettu
Chandra Kambhamettu University of Delaware
Jingyi Yu
Jingyi Yu ShanghaiTech University
Keith W. Goossen
Keith W. Goossen University of Delaware
Guang R. Gao
Guang R. Gao University of Delaware
Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory
Paul T. Spellman
Paul T. Spellman Oregon Health & Science University
Eric Wickstrom
Eric Wickstrom Thomas Jefferson University

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