About AI for Engineering

Aims

AI for Engineering (ISSN 3042-8831) is an international, open access journal on the application of artificial intelligence (AI) across all branches of engineering. The journal welcomes original research articles, review articles, and short communications.

Our aim is to encourage scientists to publish research on the theoretical foundations, methodologies, and practical implementations of AI techniques in engineering design, analysis, manufacturing, control, and operation. There is no restriction on the maximum length of the papers. Full methodological details should be provided to facilitate replication studies. Software and associated electronic files can be deposited as supplementary materials.

Scope

Specific areas of interest include, but are not limited to:

• AI-driven design and optimization, including generative design, topology optimization, multi-objective optimization, and design space exploration using AI techniques.
• AI for manufacturing and automation, focusing on robotics, process automation, predictive maintenance, quality control, and supply chain optimization.
• AI in control systems, addressing model predictive control, reinforcement learning for control, fault detection and diagnosis, and autonomous systems.
• Software and systems engineering, including the construction and validation of AI-based software, intelligent programming environments, and hardware architectures.
• AI for civil, mechanical, electrical, chemical, and other engineering disciplines, highlighting specific applications and challenges within each domain.
• Ethical considerations and societal impacts of AI in engineering, encouraging discussions on responsible AI development, bias mitigation, and the societal implications of AI-driven engineering solutions.
• Explainable AI (XAI) in engineering applications, focusing on methods for improving transparency and interpretability of AI models used in engineering contexts.

MDPI Publication Ethics Statement

MDPI is a member of the Committee on Publication Ethics (COPE). MDPI takes the responsibility to enforce a rigorous peer-review together with strict ethical policies and standards to ensure to add high quality scientific works to the field of scholarly publication. Unfortunately, cases of plagiarism, data falsification, inappropriate authorship credit, and the like, do arise. MDPI takes such publishing ethics issues very seriously and our editors are trained to proceed in such cases with a zero tolerance policy. To verify the originality of content submitted to our journals, we use iThenticate to check submissions against previous publications.

Book Reviews

Authors and publishers are encouraged to send review copies of their recent related books to the following address. Received books will be listed as Books Received within the journal's News & Announcements section.

MDPI
Grosspeteranlage 5
CH-4052 Basel
Switzerland

Copyright / Open Access

Articles published in AI for Engineering will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY). The copyright is retained by the author(s). MDPI will insert the following note at the end of the published text:

Reprints

Reprints may be ordered. Please contact publisher@mdpi.com for more information on how to order reprints.

Announcement and Advertisement

Announcements regarding academic activities such as conferences are published for free in the News & Announcements section of the journal. Advertisement can be either published or placed on the pertinent website. Contact e-mail address is aieng@mdpi.com.

Editorial Office

For further MDPI contacts, see here.