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Artificial Intelligence and Advanced Sensing Techniques for Urban Resilience

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 15 March 2026 | Viewed by 16

Special Issue Editors


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Guest Editor
Faculty of Engineering and IT, University of Technology Sydney, 15 Broadway, Sydney, NSW 2007, Australia
Interests: GenAI; LLM; graph neural network; computer vision

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Guest Editor
School of Engineering, Design & Built Environment, Penrith, NSW 2751, Australia
Interests: wearables; novel sensing technologies; smart sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue “Artificial Intelligence and Advanced Sensing Techniques for Urban Resilience” aims to bring together pioneering research that harnesses the power of artificial intelligence and next‑generation sensing technologies to build smarter, safer, and more adaptive cities. We invite original contributions and comprehensive reviews that explore how heterogeneous sensor networks ranging from satellite and aerial remote sensing to ground‑level Internet of Things (IoT) devices can be fused with machine learning and deep‑learning methods to monitor, analyze, and predict the health of urban infrastructure and communities.

Topics of interest include, but are not limited to, the following:

  • Multisensor data fusion for real‑time structural health monitoring, traffic flow analysis, and environmental quality assessment;
  • AI‑driven anomaly detection and predictive maintenance to anticipate failures in bridges, pipelines, or utility networks;
  • IoT‑enabled diagnostic platforms that integrate edge computing and cloud analytics for scalable urban monitoring;
  • Digital twins and simulation models powered by data‑driven algorithms to support scenario planning and emergency response;
  • Disaster preparedness and recovery solutions leveraging sensor‑based early warning systems and AI‑guided decision support.

By showcasing interdisciplinary advances that integrate advanced sensing hardware with robust AI frameworks, this collection will highlight pathways toward more resilient urban systems capable of withstanding environmental stresses, aging infrastructure, and rapid population growth. We especially encourage submissions that demonstrate real‑world deployments, open‑source toolkits, or transferable methodologies fostering sustainable, data‑centric urban development.

Dr. Bin Liang
Dr. Karthick Thiyagarajan
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. Sensors 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 2600 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

  • artificial intelligence
  • sensor fusion
  • urban resilience
  • Internet of Things (IoT)
  • predictive maintenance

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Published Papers

This special issue is now open for submission.
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