Computational Mathematics and Artificial Intelligence

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 100

Special Issue Editors


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Guest Editor
International Association of Engineers, Unit 1, 1/F, Hung To Road, Hong Kong
Interests: big data problems; data mining algorithms; computational mathematics; time series modeling; artificial intelligence; deep learning; continual learning; intelligent systems

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Guest Editor

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Guest Editor
Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana 22414, Mexico
Interests: type-2 fuzzy logic; fuzzy control; neuro-fuzzy; genetic-fuzzy hybrid approaches
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mathematics, University of Queensland, St. Lucia, Brisbane, QLD, Australia
Interests: statistics; applied statistics; classification; data mining; mixture modelling

Special Issue Information

Dear Colleagues,

Computational mathematics and artificial intelligence have somehow been developed in synergy since the early days of their development, with tremendous advances being made in these two fields over the last two decades. Computational mathematics has served as the backbone of many advances in artificial intelligence for years. On the other hand, an increasing amount of research reports that AI-based algorithms can be developed to satisfactorily address pertinent issues in computational mathematics.

The purpose of this Special Issue is to promote interdisciplinary research and further enhance the synergy of computational mathematics and artificial intelligence. This Special Issue focuses on recent advances in interdisciplinary approaches and applications involving these two fields. Topics of interest include the following: efficient numerical/approximation methods, algorithmic and computational complexity, large-scale optimization, stochastic methods, computational statistics, machine learning algorithms, computational methods for deep learning, and applications like fluid computational dynamics, bioinformatics, molecular modeling, computer vision, and natural language processing.

Dr. Sio Iong Ao
Prof. Dr. Vasile Palade
Prof. Dr. Oscar Castillo
Prof. Dr. Geoffrey McLachlan
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. Mathematics 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 2600 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.

Keywords

  • efficient numerical/approximation methods
  • algorithmic and computational complexity
  • large-scale optimization
  • stochastic methods
  • computational statistics
  • machine learning algorithms
  • computational methods for deep learning
  • fluid computational dynamics
  • bioinformatics
  • molecular modeling
  • computer vision
  • natural language processing

Published Papers

This special issue is now open for submission.
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