IJCNN Special Session on

Artificial Intelligence and Advanced Machine Learning

for Biomedical Signal Processing

IEEE International Joint Conference on Neural Networks (IJCNN)

July 19-24, 2020, Glasgow, Scotland (UK)

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Scope and Aim

Biomedical signal processing involves the analysis and treatment of the physiological electrical activities measured using sensors placed on a living thing, in order to provide useful information on which decisions can be made. Recently, Artificial Intelligence (AI) and Machine Learning (ML) have received a great attention to solve difficult and complex problems related to biosignals analysis and processing; where the traditional signal processing and conventional machine learning techniques have shown their limitations to solve such problems. Indeed, the recent advances in this area have brought an impressive progress to solve several practical and difficult problems in many fields including medicine, e-health, healthcare, neuroscience, brain-computer interface (BCI), neurofeedback, robotics, robotic exoskeletons and biometrics, etc. In this context, the advanced learning techniques such as deep learning, reinforcement learning, deep reinforcement learning, statistical learning have shown their effectiveness to resolve various problems of detection, classification, clustering, segmentation, control, diagnosis, etc.; and thus becomes useful solutions to be investigated more for other open problems.

The aim of this special issue is to bring together researchers and scientists in the fields of biomedical signal processing, AI and ML, to present and discuss the recent advances on learning methods and intelligent approaches for biomedical signal and image processing.

Topics

The main topics that are of interest to this session include, but are not limited to:

  • AI for biomedical signal processing and analysis
  • ML for biomedical signal processing and analysis
  • Advanced ML for biomedical data processing (e.g. deep learning, reinforcement learning, deep reinforcement learning, statistical learning...)
  • Biomedical data processing in Big Data
  • Advanced biomedical signal and image processing methods with application in medicine, e-health, healthcare, neuroscience, BCI, neurofeedback, robotics, robotic exoskeletons, biometrics, etc.
  • Related applications

Important Dates

  • Paper Submissions: January 15, 2020
  • Paper Acceptance Notifications: March 15, 2020
  • Camera Ready Submission of Accepted Papers: April 15, 2020
  • Conference: July 19-24, 2020

Submission Guidelines

  • This special session will be held in 2020 International Joint Conference on Neural Networks-IJCNN (wcci2020.org/ijcnn-sessions/), as part of 2020 IEEE World Congress on Computational Intelligence (https://wcci2020.org) (Glasgow, Scotland, United Kingdom, July 19-24, 2020).
  • All papers should be prepared according to the IJCNN 2020 policy and should be submitted electronically using the conference website (https://wcci2020.org/).
  • To submit your paper to this special session, you will choose our special session "S59. Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing" on the submission page https://ieee-cis.org/conferences/ijcnn2020/upload.php
  • All papers accepted and presented at IEEE IJCNN/WCCI 2020 will be included in the conference proceedings published by IEEE Explore, which are typically indexed by EI.

Journal Special Issue

A selection of accepted papers will be considered for publication in a special issue of a SCOPUS indexed journal (to be announced).

Organizers

Larbi Boubchir (Lead Organizer)

Associate Professor, LIASD research Lab., Department of Computer Science, University of Paris 8, France

Boubaker Daachi (Co-organizer)

Professor, LIASD research Lab., Department of Computer Science, University of Paris 8, France

Biographies

Larbi Boubchir (Lead Organizer) (BEng, MAS, PhD, HDR, SMIEEE) is Associate Professor of computer science at the University of Paris 8, France; within the department of Computer Science and LIASD research Lab. Before joining the University of Paris 8, he was researcher at the French National Centre for Scientific Research (CNRS), France, and then he held a research fellow position at Northumbria University at Newcastle, U.K., within the department of Computer and Information Sciences. His research interests include: biomedical signal processing, image processing, biomedical engineering, brain-computer-interfaces, machine learning and biometrics. He has authored and co-authored more than 80 publications. He has served as a reviewer, TPC member, technical program committee chair, program chair, area chair, organizing committee member and steering committee member for many international conferences, and reviewed papers for several journals including IEEE Transactions, Elsevier, IET, Springer and MDPI. He serves as an Associate Editor for IEEE Access journal, Journal of Biomedical Research, Journal of Medical and Biological Engineering, CAAI Transactions on Intelligence Technology and Emerging Science Journal. He is also Editorial Board member for the journal of Applied Computing, Bioengineering, Informatics and BMC Biomedical Engineering. He is the organiser and chair of the International Workshop on Machine Learning for EEG Signal Processing, and the International Workshop on Recent Advances in Biometrics and its Applications. He serves, has served, as Guest Editor of special issues for Pattern Recognition Letters, Journal of Biomedical Research, Electronics, Computers and Bioengineering journals. Dr. Boubchir is a Senior Member of IEEE. He is also a member of IEEE SPS, IEEE EMBS, IEEE Computer Society, IEEE SMC Society, IEEE Biometrics Council, IARP and AFRIF.

Boubaker Daachi is full professor of computer science at the university of Paris 8. He received the B.S. degree in computer science from the University of Sétif, Algeria (1995), the M.S. degree in robotics from the University of Paris 6, France (1998), and the Ph.D. degree in robotics from the University of Versailles, France (2000). He was an Associate Professor of robotics and computer science at the university of Paris Est Créteil, from September 2003 to August 2014. He evolved as a Researcher at CNRS-AIST JRL, Tsukuba, Japan, from September 2014 to August 2015. His research interests include soft computing and BCI. Application fields are robotics, biometrics, pervasive and distributed systems. He has published more than 70 papers in scientific journals, books, and conference proceedings. He has been involved in the organizing committees of some national and international events.

Contact

Larbi Boubchir : larbi.boubchir [at] ai.univ-paris8.fr

Download Call-for-Papers
(.pdf)

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