Scientific Journal of 

Human & Machine Learning

​

Call for papers! 

The Scientific Journal publishes original research papers and review articles. 

Please contact the editorial board should you have any questions.

​

​

BSBI - Berlin School of Business and Innovation GmbH 

Alte Post · Karl-Marx-Straße 97-99 

12043 Berlin Germany

BSBI is proud to launch another scientific journal that will serve as a fully open access international publication and a critical part of BSBI's ongoing research efforts. 

What is the focus of the journal?

Before you submit your manuscript, it’s important you read and follow the guidelines. 

Speak to our research and editorial team by emailing: HMLearningJournal@berlinsbi.com

Editorial Board

Editor-in-Chief 

Prof. Dr. Kyriakos Kouveliotis FRSA   

Associate Editor 

   Dr. Farshad       Badie

For Authors

Associate Editor 

Dr. Maryam    Mansuri

Instructions to Authors

The Scientific Journal of Human & Machine Learning as a fully open access international scientific journal publishes only original research papers and review articles (scientific publications) that conceptually, theoretically, technically and systematically focus on different applications of digital learning frameworks, algorithms and paradigms in modern educational and pedagogical systems. There is no bias with regard to taxon or geographical area. Manuscripts (of scientific publications) should present new scientific findings that have not been published before and are not submitted for publication elsewhere. 

Submission of entries is still ongoing 

Subject Focus

Faculty of Computer Science and Informatics

Editorial Board

IMPORTANT DOCUMENTS

Instructions to Authors | Paper Template | Submission Process | Manuscript Requirement | Email: HMLearningjournal@berlinsbi.com

International Advisory Board

Dr. Victor Cesar

Dr. Asef Nazari, Ph.D.

Dr. Zohreh Moghaddas

Dr. Atia Bano Memon

Linguistic Editor 

Dr. Niloufar    Aminpour

Generative AI and AI-Assisted Technologies Policy

INSTRUCTIONS TO AUTHORS