Mathematical Methods in Computer Science

Dear Colleagues,

We are pleased to announce a forthcoming Special Issue of Axioms dedicated to the exploration of "Mathematical Methods in Computer Science". In the ever-evolving landscape of computer science, mathematical techniques serve as the bedrock upon which innovation and progress are built. This Special Issue aims to showcase the pivotal role of mathematical methods in advancing the field, emphasizing the crossroads between rigorous mathematical theory and practical computer science applications.

This Special Issue will encompass a wide spectrum of topics, offering a complete view of mathematical methods and their transformative impact on various aspects of computer science as well as the development and application of mathematical principles in real-world scenarios. From fuzzy set theory to perceptual comparison and machine learning (including deep learning), this Special Issue showcases a variety of mathematical tools and techniques that empower researchers and practitioners to navigate the intricate landscape of modern computer science.

This Special Issue underscores not only theoretical advancements but also their practical implications. With a focus on interdisciplinary approaches, it encourages researchers to explore uncharted territories, tackling multifaceted challenges in fields such as computational biology, natural language processing, network analysis, image processing, robotics, federated learning,  and bioinformatics, among others.

Researchers are invited to submit their original research, theoretical developments, and practical applications in the intersection of mathematics and computer science. By fostering a multidisciplinary dialogue, this Special Issue aims to deepen our understanding of how mathematical methods continue to drive innovation and shape the future of computer science.

We look forward to receiving your insightful contributions.

Dr. Cedric Marco-Detchart
Dr. Carlos Lopez-Molina
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. Axioms is an international peer-reviewed open access monthly 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.

• algebra
• fuzzy set theory
• applications
• machine learning
• data science
• perceptual comparison
• decision-making
• aggregation theory