[fg-arc] CFP: Special Session on Brain-Computer Interfaces and Cognitive Computation in Intelligent Systems @ SMC2024

[Domenico Lofù]

CALL FOR PAPERS (apologies for multiple copies):



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Special Session on Brain-Computer Interfaces and Cognitive Computation in Intelligent Systems @IEEE SMC Workshop on Brain-Machine Interface (BMI) Systems,

Held in conjunction with International Conference on System, Man and Cybernetics (IEEE SMC 2024) -  Sarawak, Malaysia, 7 - 10 October 2024



https://sites.google.com/view/smc-bmi-workshop2024/information-for-authors/approved-special-sessions

https://www.ieeesmc2024.org/#/special-sessions

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IMPORTANT DATES:



Submission Paper: April 8, 2024

Notifications to Authors: May 30, 2024

Camera-Ready Due : July 15, 2024

Early-Bird Registration Deadline: July 29, 2024



The workshop will be in person or hybrid.



AIM AND SCOPE:



A Brain–Computer Interface (BCI) is a computer-based system that captures Electroencephalography (EEG) signals, processes them, and translates them into commands that are transmitted to an output device for the execution of a desired action. Thanks to their affordable cost and non-invasive nature, BCIs offer unparalleled capabilities for controlling various devices.



The BCI paradigm seamlessly aligns with Cognitive Computation and Intelligent Systems, including human-machine systems (HMS), cognitive IoT, Edge, Healthcare, and wearable computing applications. Leveraging Artificial Intelligence (AI) techniques, these systems can predict human cognitive-related outcomes.



However, in everyday activities, the interaction between BCIs and AI is limited. The lack of systematic approaches hampers the development of methods, applications, and services that can seamlessly integrate with people's daily activities. This integration is crucial for predicting future actions and adapting behavior according to individuals' intentions.



The primary objective of this special session is to bring together researchers and practitioners to present cutting-edge research results that support the advancement of BCI-based systems and Cognitive Computation methods and approaches in the context of novel Intelligent Systems. The focus will be on introducing innovative methodologies for integrating AI algorithms and Cognitive computation methods with BCI technologies and Intelligent Systems across various applications, such as HMS, IoT, Healthcare, Cyber-Physical-Social Systems. By doing so, the integration facilitates the ability to predict specific outcomes and offer corresponding explanations, all within the framework of explainable AI methodologies and optimal human-centered AI.



SPECIAL SESSION TOPICS:



Topics include, but are not limited to:

  *   Brain-Computer Interfaces (BCI) in Intelligent Systems
  *   BCI for people’s daily routine systems
  *   Machine Learning (ML) for BCI Systems
  *   Cognitive Computation models for BCI systems and Intelligent Systems
  *   Explainable Artificial Intelligence (XAI) in Intelligent Systems
  *   EEG signal analysis and applications
  *   User studies on BCI and AI usages
  *   Neuroergonomics
  *   Human-AI teaming
  *   Next generation Human-Machine Systems
  *   BCI for Robotics
  *   Cognitive Robotic



SUBMISSION GUIDELINES:



Special Session Code: 7579m

Submission guidelines: https://www.ieeesmc2024.org/#/call-for-paper

Submission link: https://conf.papercept.net/conferences/scripts/start.pl



All Special Session accepted papers will be included in the official SMC '24 proceedings. The official publication date is when the proceedings are made available in the IEEE Xplore Digital Library (https://ieeexplore.ieee.org/Xplore/).



SPECIAL SESSION ORGANIZERS:



Giuseppe D’Aniello, University of Salerno, Italy, gidaniello at unisa.it

Domenico Lofù, Polytechnic University of Bari, Italy, domenico.lofu at poliba.it

Elvira Brattico, Aarhus University, elvira.brattico at clin.au.dk

Denmark Tiago Falk, University of Quebec, Canada, tiago.falk at inrs.ca

Angela Lombardi, Polytechnic University of Bari, Italy, angela.lombardi at poliba.it

Hasan Ayaz, Drexel University, USA, ha45 at drexel.edu

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