October 11th, 2024 
Daniela Lopez de Luise Overview
EEG signal processing involves the analysis and treatment of the electrical activity of the brain measured with Electroencephalography, or EEG, in order to provide useful information on which decisions can be made. The recent advances in signal processing and machine learning for EEG data processing have brought impressive progress in solving several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI and biometrics. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. We are inviting original research work, as well as significant work-in-progress, covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics. This workshop is an opportunity to bring together academic and industrial scientists to discuss recent advances.
The topics of interest include but are not limited to:
– EEG signal processing and analysis
– Time-frequency EEG signal analysis
– Signal processing for EEG Data
– EEG feature extraction and selection
– Machine learning for EEG signal processing
– EEG classification and Hierarchical clustering
– EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's disease, etc.)
– Machine learning in EEG Big Data
– Deep Learning for EEG Big Data
– Neural Rehabilitation Engineering
– Brain-Computer Interface
– Neurofeedback
– EEG-based Biometrics
– Related applications
Important Dates
Sept. 16, 2024 October 21, 2024 (11:59 pm CST): Due date for full workshop papers submission
Nov. 10, 2024: Notification of paper acceptance to authors
Nov. 21, 2024: Camera-ready of accepted papers
Dec 3-6, 2024: Workshops
Paper submission
– Please submit a full-length paper (up to 8 pages IEEE 2-column format) through the online submission system. You can download the format instruction here: https://www.ieee.org/conferences/publishing/templates.html
– Electronic submissions in PDF format are required.
Online submission
Publication
All accepted papers will be published in the BIBM proceedings and IEEE Xplore Digital Library.
Contact
Prof. Larbi Boubchir (Workshop Chair)
University of Paris 8, France
E-mail: larbi.boubchir@univ-paris8.fr
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