Machine Learning and Deep Learning for Applications of Human-Centered Intelligence System

Dear Colleagues,

Artificial Intelligence (AI) has rapidly evolved from traditional task-focused systems to human-centered intelligence systems, which are designed to understand, assist, and collaborate with humans. Recent advances in Machine Learning (ML) and Deep Learning (DL) have enabled these systems to integrate, process, and interpret complex, unstructured, and heterogenous data types, helping AI recognize patterns in human behavior, assess context, and offer personalized recommendation or support.

The Special Issue aims to bring together recent advances in ML and DL for the development of human-centered intelligence systems that leverage multimodal data to enhance human understanding, decision-making, and interaction. We invite contribution from a wide range of disciplines not limited to computer vision, natural language processing, speech recognition, and healthcare informatics that demonstrate how AI can learn from, integrate, and reason over multiple data modalities, which are not limited to image, text, speech, sensor signals, and electronic health records, to create system that are adaptive and explainable.

By contributing to this Special Issue, authors help promote research that bridges technical innovation with human-centered design principles, ensuring that AI-based systems are not only powerful and data-driven but also transparent and aligned with human values.

Dr. Djeane Debora Onthoni
Dr. Prasan Kumar Sahoo
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 submissions that pass pre-check are 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. Electronics 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 2400 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.