Mathematical and Computational Methods for Electrical Engineering
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 20 May 2026 | Viewed by 2055
Special Issue Editors
Interests: VLSI design; FPGAs; embedded systems; model-based design (MBD); sensor networks
Special Issue Information
Dear Colleagues,
The rapid advancement of electrical engineering is increasingly driven by the synergy between mathematics, computational science, and artificial intelligence (AI). As modern electrical systems grow in complexity and scale—ranging from smart grids and autonomous control systems to high-frequency electronics and renewable energy networks—the need for accurate modeling, efficient simulation, and intelligent optimization has become more critical than ever.
Mathematical methods provide the theoretical framework necessary to describe and analyze electrical phenomena, while computational techniques enable the implementation and exploration of these models at scale. The emergence of AI and machine learning further expands this toolkit, allowing engineers to extract insights from large datasets, develop adaptive systems, and optimize performance in dynamic environments. This convergence of disciplines not only enhances the precision and efficiency of engineering solutions but also paves the way for innovations in real-time monitoring, automation, and predictive analytics.
This Special Issue aims to highlight recent advances in mathematical modeling, analytical techniques, artificial intelligence (AI), and computational methods that underpin innovations in electrical engineering. By fostering interdisciplinary approaches, this publication will encourage the integration of theoretical foundations with intelligent computational tools to address complex engineering challenges.
We are pleased to invite scholars to submit high-quality original research articles, comprehensive reviews, and case studies that focus on the development and application of mathematical, AI-driven, and computational techniques across diverse areas of electrical engineering. Topics of interest include, but are not limited to, the following areas:
- Power systems analysis, stability, and optimization;
- Smart grids and intelligent energy management;
- AI and machine learning in signal and image processing;
- Computational electromagnetics and field simulation;
- Modeling and controlling electrical machines and drives;
- AI-based fault detection, diagnosis, and predictive maintenance;
- Deep learning and data-driven methods in circuit design;
- Optimization techniques for power electronics and renewable energy;
- Intelligent control systems and adaptive algorithms;
- Digital twin and cyber-physical systems modeling in electrical engineering.
Dr. Nattha Jindapetch
Prof. Dr. Hiroshi Saito
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
- artificial intelligence
- signal processing
- power systems
- smart grids
- fault diagnosis
- data-driven modeling
- predictive maintenance
- digital twin
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