Artificial Intelligence and Risk Management for Sustainable Infrastructure
A special issue of Infrastructures (ISSN 2412-3811).
Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 890
Special Issue Editors
Interests: civil infrastructure design, maintenance, and rehabilitation with a focus on pavements and bridges; development of innovative concepts, models, methods, and tools that integrate sustainability principles with civil engineering practices; statistical analysis, multi-decision criteria, simulation processes, optimization techniques, and risk management methods for sustainable and resilient infrastructure
Special Issues, Collections and Topics in MDPI journals
Interests: sustainable environmental engineering; water 5.0; water resource recovery facility; water and wastewater treatment engineering; desalination; desinfection; advanced oxidation processes
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue of Infrastructures focuses on the intersection of artificial intelligence (AI) and risk management to develop and preserve sustainable and resilient infrastructure systems. With the increasing complexity and vulnerability of infrastructure systems worldwide, there is a growing need to integrate advanced AI technologies for risk assessment, mitigation, and overall sustainability. Planners, engineers, and managers delve into the potential of AI to improve the resilience of infrastructure against natural disasters, climate change impacts, and other uncertainties. Articles in this Special Issue will seek to cover concepts and application of AI in infrastructure risk management, including predictive modeling, decision support systems, and real-time monitoring. Furthermore, the Special Issue also seeks to address the ethical and societal implications of deploying AI in infrastructure management, ensuring that sustainable development goals are upheld while leveraging technological advancements. By highlighting innovative methodologies, case studies, and best practices, the journal aims to foster interdisciplinary dialogue and contribute to the advancement of AI-driven approaches to building and maintaining resilient and sustainable infrastructure systems.
Dr. Carlos M. Chang
Dr. Walter Z. Tang
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.
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Keywords
- artificial intelligence (AI)
- risk management
- sustainable infrastructure
- resilience
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