Resilience Engineering Practices for Sustainable Development

Dear Colleagues,

Resilience engineering has become a fundamental concept towards the sustainable development of complex systems in our communities. In a nutshell, resilience engineering involves incorporating engineering practices to ensure that a system functions properly under the presence of external and internal disturbances and uncertainties. This Special Issue invites professionals, experts, researchers, and practitioners of resilience engineering to share their knowledge and findings that emphasize the efficient, economic, and sustainable development of our community.

This Special Issue focuses on the revolutionary engineering concepts, sophisticated engineering practical solutions, and innovative engineering frameworks that help to avoid failures, minimize degradation impacts, recover from damage quickly, and that promote long-lasting functionality. The proposed approaches may include multidisciplinary practices from the broad research areas of data (or big data) analysis, control system and theory, decision analysis, design optimization, system engineering, simulation and modeling, performance assessment risk and reliability analysis, uncertainty analysis, and quantification, among others.

The scope of system applications in this Special Issue includes a broad range of complex systems in our community. Examples of complex systems of interest include but are not limited to aerospace, automotive, communication networks, critical infrastructures (finance, chemical, food, agriculture, etc.), cyberinfrastructures, defense, emergency services, food–water–energy nexus, healthcare, industrial and manufacturing (conventional and additive), power distribution, renewable and nonrenewable energy, social network or social media, smart cities, space systems, and transportation (supply chain, logistics, traffic).

The purpose of this Special Issue is to highlight innovative engineering practices and cutting-edge technologies that promote resilience and sustainability in our complex social, economic, and technical systems. This Special Issue will be of interest to and benefit many readers in both academia and industry as well as practitioners and policymakers who are involved in the resilient and sustainable development of our complex, day-to-day systems.

Dr. Nita Yodo
Dr. Lucy Aragon
Dr. Melvin Rafi
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. Sustainability 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.

• data (or big data) analysis
• complex adaptive system
• control theory
• cost–benefit analysis
• cybersecurity
• decision making
• distaster management and reduction
• emergency framework
• failure recovery
• healthcare system
• human-in-the-loop analysis
• life cycle assessment
• machine learning
• maintenance and reliability
• modeling and simulation
• probabilistic modeling
• prognostics and diagnostics
• quality assessment
• resilience engineering
• risk analysis
• sustainable development
• system safety and security
• uncertainty analysis and quantification