New Advances in Engineering Seismology
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 20 January 2026 | Viewed by 51
Special Issue Editors
Interests: seismic hazard and risk; ground motion simulation; site effects; building vulnerability; ambient noise analysis; machine learning
Interests: earthquake engineering; geotechnics; soil mechanics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent earthquakes have reminded us just how much we still have to learn about seismic hazards and their devastating effects on our communities. While we have made significant advances in our understanding of earthquake processes, the rapid growth of urbanization in seismically active regions presents new challenges that demand innovative solutions in terms of the modeling, monitoring, and management earthquakes’ effects across multiple spatial and temporal scales.
This Special Issue seeks to showcase the exciting developments happening at the intersection of seismology, engineering, and data science, and we welcome contributions that present methodological advances and interdisciplinary approaches, ranging from numerical simulations and hybrid physics–AI frameworks to high-resolution seismic hazard and risk assessments. Particular attention is paid to studies incorporating distributed acoustic sensing (DAS), ambient noise interferometry, or machine learning to improve source characterization, site response modeling, and ground motion prediction.
What excites us most about this field right now is how researchers are tackling real-world problems; from developing early warning systems that can save lives to creating more accurate site-specific hazard maps for critical infrastructure, the practical impact of our work has never been clearer. We welcome studies that demonstrate how new methodologies translate into better risk assessment, improved building codes, or more effective emergency response strategies and decision-making.
We encourage submissions that tell compelling stories about methodological breakthroughs, unexpected findings, or interdisciplinary collaborations that have opened up new research directions. Case studies from recent earthquakes, innovative monitoring campaigns, studies integrating structural vulnerability and soil–structure interactions, multi-hazard frameworks, or novel computational approaches are all also welcome. The goal is to bring together research that strengthens the scientific foundations and practical tools of engineering seismology in support of resilient infrastructure and communities.
Dr. Afifa Imtiaz
Dr. Antonio Cavallaro
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. Applied Sciences 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.
Keywords
- seismic hazard assessment
- ground motion simulation and validation
- site response analysis
- distributed acoustic sensing
- machine learning applications in seismology
- ambient noise interferometry
- early warning and real-time monitoring
- urban seismic risk and resilience
- structural vulnerability
- multi-hazard frameworks
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