AI, Soft Computing and Mathematical Optimization in Civil and Environmental Engineering

Dear Colleagues,

This Special Issue will spotlight original research and review papers on innovative applications of Artificial Intelligence, soft computing, and mathematical optimization techniques in solving complex engineering problems, particularly those characterized by uncertainty, nonlinearity, and large-scale data.

We welcome contributions addressing predictive modeling, data-driven decision-making, hybrid computational methods (e.g., AI combined with traditional mechanics), and optimization strategies in civil, environmental, industrial, and broader engineering disciplines.

Emphasis will be placed on real-world case studies with measurable impact, explainable AI methods, and interdisciplinary approaches bridging mathematical rigor with modern AI technologies.

Topics of interest include the following:

• Structural performance prediction and reliability modeling;
• Sustainable construction materials and carbon reduction strategies;
• AI and surrogate modeling in civil engineering;
• Water quality prediction and hydrological and environmental systems modeling;
• Explainable AI in engineering decision-making;
• Predictive maintenance and fault detection in industrial systems.

Dr. Miljan Kovačević
Dr. Marijana Hadzima-Nyarko
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. Modelling is an international peer-reviewed open access quarterly 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 1200 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.