World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10554
World Ranking
7100
National Ranking
92

Overview

Justin Dauwels is affiliated with Nanyang Technological University in Singapore. Their research spans multiple domains, primarily within computer science and engineering, with a significant focus on cognitive neuroscience and artificial intelligence.

The scientist's work covers diverse subfields including:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Psychiatry and Mental Health
  • Automotive Engineering

Key research topics explored by Justin Dauwels include:

  • EEG and Brain-Computer Interfaces
  • Epilepsy Research and Treatment
  • Autonomous Vehicle Technology and Safety
  • Blind Source Separation Techniques
  • Transportation and Mobility Innovations
  • Neuroscience and Neural Engineering
  • Functional Brain Connectivity Studies

Some of the recent and notable publications authored or co-authored by Justin Dauwels are:

  • Carbon footprinting of universities worldwide: Part I-objective comparison by standardized metrics, 2021, Environmental Sciences Europe
  • Sensing and Machine Learning for Automotive Perception: A Review, 2023, IEEE Sensors Journal
  • Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks, 2020, International Journal of Neural Systems
  • Diagnostic classification of autism using resting-state fMRI data improves with full correlation functional brain connectivity compared to partial correlation, 2020, Journal of Neuroscience Methods
  • Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study, 2021, International Journal of Neural Systems

Justin Dauwels frequently publishes in various academic venues, including:

  • arXiv (Cornell University)
  • International Journal of Neural Systems
  • IEEE Transactions on Intelligent Transportation Systems
  • Journal of Neuroscience Methods
  • IEEE Sensors Journal

The scientist also collaborates often with several coauthors, such as:

  • John Thomas
  • Wei Yan Peh
  • Cristian Meo
  • Prasanth Thangavel
  • Rahul Rathakrishnan

Best Publications

  • Steady-state visually evoked potentials: focus on essential paradigms and future perspectives.

    François-Benoît Vialatte;Monique Maurice;Justin Dauwels;Andrzej Cichocki

  • The Factor Graph Approach to Model-Based Signal Processing

    H.-A. Loeliger;J. Dauwels;Junli Hu;S. Korl

  • Diagnosis of Alzheimer's disease from EEG signals: where are we standing?

    Justin Dauwels;Francois Vialatte;Andrzej Cichocki

  • A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG.

    Justin Dauwels;François-Benoît Vialatte;Toshimitsu Musha;Andrzej Cichocki

  • Innovative diagnostic tools for early detection of Alzheimer's disease

    Christoph Laske;Christoph Laske;Hamid R. Sohrabi;Hamid R. Sohrabi;Shaun M. Frost;Karmele López-de-Ipiña

  • Online map-matching based on Hidden Markov model for real-time traffic sensing applications

    C.Y. Goh;J. Dauwels;N. Mitrovic;M. T. Asif

  • Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling.

    Nishant Sinha;Justin Dauwels;Marcus Kaiser;Sydney S. Cash

  • Slowing and Loss of Complexity in Alzheimer's EEG: Two Sides of the Same Coin?

    Justin Dauwels;K. Srinivasan;M. Ramasubba Reddy;Toshimitsu Musha

  • Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction

    Muhammad Tayyab Asif;Justin Dauwels;Chong Yang Goh;Ali Oran

  • On Variational Message Passing on Factor Graphs

    J. Dauwels

  • Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks

    Muhammad Tayyab Asif;Nikola Mitrovic;Justin Dauwels;Patrick Jaillet

  • Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition

    Zhigang Tu;Hongyan Li;Dejun Zhang;Justin Dauwels

  • Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation

    Jin Jing;Jin Jing;Haoqi Sun;Jennifer A Kim;Aline Herlopian

  • Phase estimation by message passing

    J. Dauwels;H.-A. Loeliger

  • Interrater Reliability of Experts in Identifying Interictal Epileptiform Discharges in Electroencephalograms.

    Jin Jing;Jin Jing;Aline Herlopian;Aline Herlopian;Ioannis Karakis;Marcus Ng

  • Epileptiform spike detection via convolutional neural networks

    Alexander Rosenberg Johansen;Jing Jin;Tomasz Maszczyk;Justin Dauwels

  • A computational study of stimulus driven epileptic seizure abatement.

    Peter Neal Taylor;Yujiang Wang;Marc Goodfellow;Justin Dauwels

  • Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition

    Zhigang Tu;Wei Xie;Justin Dauwels;Baoxin Li

  • Deep learning-based classification for brain-computer interfaces

    John Thomas;Tomasz Maszczyk;Nishant Sinha;Tilmann Kluge

  • Multichannel EEG Compression: Wavelet-Based Image and Volumetric Coding Approach

    K. Srinivasan;J. Dauwels;M. R. Reddy

Frequent Co-Authors

Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Sydney S. Cash
Sydney S. Cash Harvard University
M. Brandon Westover
M. Brandon Westover Harvard University
Abhisek Ukil
Abhisek Ukil University of Auckland
Sylvain Barbot
Sylvain Barbot University of Southern California
Daniel Thalmann
Daniel Thalmann École Polytechnique Fédérale de Lausanne
Junsong Yuan
Junsong Yuan University at Buffalo, State University of New York
Rohit Srivastava
Rohit Srivastava Indian Institute of Technology Bombay

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