Special Issues

Intelligent Infrastructure and Construction publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors, who are experts on the topic and all Special Issue submissions follow MDPI's standard editorial process. The journal’s Editor-in-Chief and/or designated Editorial Board Member will oversee Guest Editor appointments and Special Issue proposals, checking their content for relevance and ensuring the suitability of the material for the journal. The papers published in a Special Issue will be collected and displayed on a dedicated page of the journal’s website. Further information on MDPI's Special Issue policies and Guest Editor responsibilities can be found here. For any inquiries related to a Special Issue, please contact the Editorial Office.

Search by Title/Keyword
 
Order results
Display
Results per page
From Concept to Reality: Digital Innovations Driving the Future of Intelligent Infrastructure and Construction
edited by Junxing Zheng, and Manuel Davila Delgado
submission deadline 31 Dec 2025 | 2 articles | Viewed by 2972 | Submission Open
Keywords: computer-aided design and engineering; artificial intelligence and machine learning; building information modeling (BIM) and digital twins; smart sensors and internet of things (IoT); sustainable and resilient infrastructure; intelligent control systems and facilities management
Artificial Intelligence (AI)-Powered Project Management in Construction and Infrastructure
edited by Xianhai Meng and Yongkui Li
submission deadline 31 Mar 2026 | Viewed by 89 | Submission Open
Keywords: AI-enhanced construction project delivery; intelligent infrastructure management systems; digital construction intelligence; AI for construction safety & risk mitigation; machine learning in infrastructure asset lifecycles; computer vision for construction monitoring; NLP in construction project analytics; ethical AI in construction leadership; resilient infrastructure AI; digital twin-driven project management
Back to TopTop