Advances in Machine Learning and Intelligent Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 31 August 2026
Special Issue Editors
Interests: prognostics and health management; artificial intelligence; composite structures; intelligent machines
Special Issues, Collections and Topics in MDPI journals
Interests: mechatronics; control and automation; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine learning (ML) and intelligent systems have become foundational to modern science and engineering, driving breakthroughs in perception, prediction, optimization, and autonomous decision-making. As the complexity of real-world problems grows, there is an increasing demand for robust, interpretable, and adaptive learning frameworks capable of integrating data, physics, and human knowledge.
This Special Issue aims to bring together cutting-edge research and comprehensive reviews on emerging theories, algorithms, and applications of ML and intelligent systems. We particularly welcome studies that explore the intersection of deep learning, reinforcement learning, and hybrid physics-informed or knowledge-guided models, as well as their applications in smart infrastructure, robotics, healthcare, and industrial systems. Contributions advancing the mathematical foundations, convergence analysis, and computational efficiency of intelligent algorithms are also encouraged.
Relevant topics include (but are not limited to) the following:
- Physics-informed and hybrid learning frameworks;
- Reinforcement and transfer learning for decision systems;
- Intelligent sensing, prognostics, and digital twins;
- Edge/federated AI and trustworthy intelligent systems;
- Optimization, control, and human–AI collaboration;
- Generative and self-evolving autonomous systems.
We welcome high-quality research and review papers that advance the mathematical and computational frontiers of intelligent systems.
Dr. Salman Khalid
Dr. Aydin Azizi
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 250 words) can be sent to the Editorial Office for assessment.
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
- machine learning
- intelligent systems
- physics-informed artificial intelligence
- reinforcement learning
- digital twins
- optimization and control
- trustworthy and explainable AI
- edge and federated learning
- prognostics and health management
- autonomous decision-making
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