Explainable and Transparent AI for Engineering Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 October 2025 | Viewed by 51
Special Issue Editors
Interests: explainable AI; rehabilitation robots; human-machine interaction
Interests: machine learning and deep learning; industrial artificial intelligence; transfer learning and lifelong learning; deep reinforcement learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the rapid development and widespread application of artificial intelligence (AI) in engineering fields have brought significant advancements. However, the complexity and opacity of many AI models pose challenges in terms of interpretability and trustworthiness. This Special Issue will explore the latest advancements in explainable and transparent AI technologies specifically tailored for engineering applications. We seek contributions that address methodologies, frameworks, and case studies that enhance the interpretability and transparency of AI systems in various engineering domains. Topics may include but are not limited to explainable AI algorithms, model visualization techniques, trustworthiness evaluation, and real-world applications in fields such as automation, robotics, and intelligent systems. This Special Issue will provide a platform for researchers and practitioners to share innovative solutions and insights, enabling the development of more reliable and understandable AI applications in engineering.
Dr. Feng Wang
Dr. Hasan Tercan
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. Applied Sciences 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 2400 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
- explainable AI
- transparent AI
- engineering applications
- interpretability
- model visualization
- trustworthiness
- intelligent systems
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
