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WG2
Machine Learning for low-frequency seismic measurement

Led by Dr Velimir Ilic and Allesandro Bertolini

This working group will review data available from past surveys of the Virgo detector site, made with arrays of seismic sensors, as well as current measurement and model extraction methods. New seismic inversion approaches based on machine learning techniques will be introduced together with advanced mathematical frameworks for seismic noise modeling and parametrization. New ideas about adaptive seismic sensor arrays, based on robots, will be enlightened.

WG2 AND WG3 ARE STRUCTURED IN SEVERAL TASKS IN THE FOLLOWING WAY:

1. Optimized sensor arrays
2. Applied mathematics for seismology
3. Mobile Networks of environmental sensors
4. Machine learning for seismology

WG2 members:
Dr. Allesandro Bertolini
Prof. Sorin Dragomir
Dr. Elena Gutuleac
Dr. Velimir Ilic
Prof. Ik Siong Heng
Dr. Ivan Štajduhar
Dr. Timo Tiira

JOIN THE ACTION

The inclusion of further partners from currently participating COST Countries, or other countries within or outside the COST Network, is welcome and strongly encouraged during the entire duration of the Action.