I. THEMES AND SCOPE

Seismic signal processing and volcanic data analysis are core components of modern seismology and volcanic monitoring. While classical signal processing techniques are well established, the increasing availability of large and complex datasets has motivated the adoption of machine learning and AI-based approaches.

The use of AI in this domain raises several open questions, including the relationship between data-driven methods and physical models, as well as issues of robustness, interpretability, and generalization across different seismic settings.

The workshop provides a forum discussing recent advances and open challenges in AI-driven seismic signal processing, with attention to both theoretical aspects and practical algorithms.

Contributors are invited to present original research, and ongoing work from both methodological and AI application-oriented perspectives.

II. TOPICS

  • Physical and mathematical modeling of seismic signals and volcanic data
  • Supervised, unsupervised, and self-supervised learning for seismic signals and volcanic data
  • Deep learning architectures for time series and waveform analysis
  • Machine learning and deep learning for seismic signals and volcanic data
  • Hybrid physics-informed and data-driven approaches
  • Applications in earthquake and volcano monitoring
  • Earthquake detection, localization, and early warning systems

III. PROGRAM CO-CHAIRS

  • Antonietta M. Esposito - Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Napoli Osservatorio Vesuviano, Napoli, antonietta.esposito@ingv.it
  • Flora Giudicepietro - Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Napoli Osservatorio Vesuviano, Napoli, flora.giudicepietro@ingv.it
  • Giovanni Macedonio - Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Napoli Osservatorio Vesuviano, Napoli, giovanni.macedonio@ingv.it

IV. IMPORTANT DATES

  • Extendend Abstract Submission Deadline: March 25, 2026
  • Notification of Acceptance: April 25, 2026
  • Camera-ready Deadline: May 15, 2026
  • Workshop Dates: June 9-12, 2026

V. PUBLICATION AND PAGE LIMITATIONS

  • Contributions will be published on the SPRINGER “Smart Innovation Systems and Technologies” (see Springer Guidelines for formatting guidelines and templates). The minimum paper length is 15 pages.
  • Manuscripts should be submitted through the Easy Chair link: https://easychair.org/conferences/?conf=wirn2026
  • Please specify in the abstract the name of the title of the workshop: “Machine Learning and Signal Processing for Seismic and Volcanic Data Analysis”

For Info, clarifications, and support please contact:

VI. REGISTRATION FEE

  • The registration fee is 300 euros and includes the social dinner.
  • Registration must be done through bank transfer and receipts must be exhibited at the conference.

Details can be found at https://siren.science/registration.html