Connectionists: CFP: Special Issue on "Advanced Machine Learning Algorithms for Biometrics and Its Applications"

[Larbi Boubchir]

*Special Issue on "Advanced Machine Learning Algorithms for Biometrics 
and Its Applications"*

Journal: *Applied Sciences* (ISSN 2076-3417).
Deadline for manuscript submissions: *31 December 2020*.
URL:https://www.mdpi.com/journal/applsci/special_issues/Machine_Learning_Biometrics
Flyer: 
https://www.mdpi.com/journal/applsci/special_issue_flyer_pdf/Machine_Learning_Biometrics/web


Dear colleagues,

Biometrics has become a burgeoning research area due to the industrial 
and government needs for recognition and security concerns. It has also 
become a center of focus for many applications, such as identity 
authentication and identification in civil and forensic fields. 
Recently, advanced machine learning has received a great deal of 
attention in solving difficult and complex problems related to biometric 
recognition and security, where conventional machine learning techniques 
have shown their limitations.

This Special Issue aims to solicit original research papers, as well as 
review articles focusing on biometrics and its applications based on 
advanced machine learning algorithms. We are inviting original research 
works covering novel theories, innovative methods, and meaningful 
applications that can potentially lead to significant advances in the 
biometrics domain.

Topics of interest include but are not limited to the following:

     - Biometrics-based authentication and identification;
     - Physiological and behavioral biometrics (e.g., finger, palm, 
face, eye, ear, iris, retina, vein, gait, handwriting, voice);
     - Biometric feature extraction and matching;
     - Signal, image, and video processing in biometrics;
     - Advanced pattern recognition in biometrics;
     - Machine learning and deep learning in biometrics;
     - Artificial intelligence in biometrics;
     - Fusion techniques in biometrics;
     - Soft biometrics;
     - Multimodal biometrics;
     - Security and privacy in biometrics;
     - Big data challenges in biometrics;
     - Embedded biometric systems;
     - Emerging biometrics;
     - Related applications.

Assoc. Prof. Dr. Larbi Boubchir
Prof. Dr. Elhadj Benkhelifa
Prof. Dr. Boubaker Daachi
Guest Editors

*Manuscript Submission Information*

Manuscripts should be submitted online at www.mdpi.com by registering 
and logging in to this website. Once you are registered, click here to 
go to the submission form. Manuscripts can be submitted until the 
deadline. All papers will be peer-reviewed. Accepted papers will be 
published continuously in the journal (as soon as accepted) and will be 
listed together on the special issue website. Research articles, review 
articles as well as short communications are invited. For planned 
papers, a title and short abstract (about 100 words) can be sent to the 
Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be 
under consideration for publication elsewhere (except conference 
proceedings papers). All manuscripts are thoroughly refereed through a 
single-blind peer-review process. A guide for authors and other relevant 
information for submission of manuscripts is available on the 
Instructions for Authors page. Applied Sciences is an international 
peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a 
manuscript. The Article Processing Charge (APC) for publication in this 
open access journal is 1800 CHF (Swiss Francs). Submitted papers should 
be well formatted and use good English. Authors may use MDPI's English 
editing service prior to publication or during author revisions.

*Special Issue Editors:*

Assoc. Prof. Dr. Larbi Boubchir (larbi.boubchir at ai.univ-paris8.fr)
Guest Editor
LIASD research Lab. – University of Paris 8, 2 Rue de la Liberté, 93526 
Saint-Denis, France
Interests: biomedical signal processing; EEG; image processing; machine 
learning; brain–computer interface; biometrics

Prof. Dr. Elhadj Benkhelifa (E.Benkhelifa at staffs.ac.uk)
Guest Editor
Cloud Computing and Applications Research Lab, School of Computing and 
Digital Technologies, Staffordshire University, Stoke-on-Trent ST4 2DE, UK
Interests: cloud computing; cybersecurity; software engineering; 
software defined systems; cloud forensics; IoT; data governance

Prof. Dr. Boubaker Daachi (bd at ai.univ-paris8.fr)
Guest Editor
LIASD research Lab. – University of Paris 8, 2 Rue de la Liberté, 93526 
Saint-Denis, France
Interests: robotics; soft computing; BCI; WSN; biometrics



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