About to AISWI 2026
AISWI 2026 will be held in Huizhou. As an important city in the Guangdong Hong Kong Macao Greater Bay Area, Huizhou continues to increase investment in smart city construction and public safety. The conference focuses on artificial intelligence seismology, waveform inversion methods, and intelligent warning systems, covering core directions such as earthquake signal recognition, full waveform inversion, and multi-source warning fusion. The attending experts will delve into cutting-edge topics such as deep learning seismic phase picking, real-time inversion systems, intelligent landslide warning, and socialized release of warning information. The conference aims to promote the deep intersection of geophysics, computer science, and emergency management, providing technical support for enhancing earthquake disaster prevention capabilities and reducing earthquake disaster risks.
IMPORTANT DATES
2026-09-13-Submission Deadline
2026-09-21-Registration Deadline
2026-09-28-Conference Date
About a week after the submission-Notification Date
RECORD
All full paper submissions to the AISWI 2026 could be written in English and will be sent to at least two reviewers and evaluated based on originality, technical or research content or depth, correctness, relevance to conference, contributions, and readability. All accepted papers of AISWI 2026 will be published in the conference proceedings, which will be submitted to EI Compendex, Scopus for indexing.
Paper template
Please refer to the paper template for layout
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Register
All attendees must register in advance to attend the meeting
Consulting service
Submit
Please submit the full text/abstract of the paper to us through the electronic submission system
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Call For Papers
Direction 1: AI Seismology AI Seismology Intelligent recognition of seismic signals Automatic detection of earthquake events Intelligent picking of earthquake phases Deep learning for earthquake localization Automatic construction of earthquake catalog Seismic noise machine learning Intelligent simulation of seismic wavefield AI method for earthquake prediction Earthquake big data mining Direction 2: Waveform inversion Waveform inversion Full waveform inversion algorithm Travel time tomography imaging Receiver function analysis Surface wave dispersion inversion Background noise imaging Anisotropic inversion Joint inversion strategy Real time inversion system Quantify inversion uncertainty
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Indexing Service
Technical Sponsor
Call for Reviewers
As a platform for global academic communication, the quality of conference publication has always an aspect attracting much of our attention. To ensure quality of our publication and to better serve the peers in academic circle, we now call for reviewers among professionals and experts of the world. Professionals and experts who hold PhD (doctoral) degree in the conference related areas are encouraged to join in us and together, we will work hard to become a world-class academic conference. Please send us your CV by email (aiswi@confsflow.com) if you are interested in it.
SCI Journal
Contributors are encouraged to submit papers / abstracts to the conference. The organizing committee will select high-quality papers and recommend them to SCI/SSCI journals. For specific matters, please contact the person in charge of the conferrence.
Submission Guidelines
Delegates are encouraged to submit their papers/abstracts to the conference. Good quality papers will be selected by the organizing committee and Prof. Soteris Kalogirou, the editor in chief. After it, the authors will be invited to extent their papers/abstracts and submit them to aiswi@confsflow.com. The normal size of research papers is 4,000-6,000 words excluding abstract and references.
Submission Portal
If you have any questions or need any help about the conference, please feel free to contact our conference experts on the right:
杨老师
TEL:185 8288 1690
QQ:3965998409
E-mail:aiswi@confsflow.com
About Plagiarism Check
Crosscheck Powered by iThenticate will be used for plagiarism check. The amount of duplication from previously published content should be less than 20%; If the amount of duplication is 20% - 35%, modification maybe required; if the amount of duplication exceeds 35%, the article will be rejected. Please note that there will be no refund for no-shows.