Advances of Mathematics and Artificial Intelligence in Engineering Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 16
Special Issue Editors
Interests: surgical robot; medical device; robot modeling; robot control; fluid power system; human–machine interaction; machine learning
Interests: permanent magnet motors for automobiles; variable flux motors; hybrid excitation motors; high temperature superconducting motors; electric vehicle battery management; electromagnetic field calculation and application; artificial intelligence in power systems and intelligent driving
Special Issue Information
Dear Colleagues,
The synergy between mathematics and artificial intelligence is revolutionizing modern engineering, offering unprecedented solutions to complex real-world challenges. Mathematics provides the foundational framework for modeling, simulation, optimization and control, while AI—encompassing machine learning, deep learning, and neural networks—empowers engineers to tackle nonlinear, high-dimensional, and data-driven problems that were once deemed intractable. Together, these fields are driving innovations across mechanical, electrical, aerospace, material and biomedical engineering, enabling advancements in autonomous robotics, energy systems, smart materials, and intelligent control systems. In mathematics, recent advances in state estimation, numerical simulation, inverse problem-solving, ODE/PDE-solving, graph theory and others have enhanced the precision of predictive models and system/controller designs. AI demonstrates superior capability in extracting patterns from heterogeneous datasets, enabling real-time decision making and control in dynamic environments, the rapid computation of traditionally time-consuming FEA/CFD analyses, etc. These hybrid approaches are particularly critical in addressing uncertainties inherent in complex systems, such as robot dynamics, material fatigue, or biomedical signal processing.
This Special Issue will provide a platform for researchers to share their latest advances in engineering applications in mathematics and artificial intelligence and novel applications in solving real-world problems. We invite researchers to submit original research articles, reviews, and short communications pertaining to the above topics. All submissions will undergo a rigorous peer-review process, and accepted papers will be published in this Special Issue of Mathematics.
Dr. Mengtang Li
Dr. Liangliang Wei
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
- intelligent robotics
- intelligent materials
- system modeling
- system estimation
- uncertainty quantification
- digital twin system
- smart sensing
- sensor fusion
- multi-modal perception
- human–machine interaction
- path planning
- decision making
- model-free control
- data-driven control
- AI-driven computation
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