Thread: SSA 2018 Technical Session - Applications of Machine Learning and Data Science in Seismology

Dear Colleagues,

Please consider submitting your work to the following session in SSA 2018
https://seismology2018.org/. Note the deadline for abstract submission is
Jan 24th, 2018. You can submit your abstract here
https://www.seismosoc.org/meetings/abstract-submissions/.


*Session Title: Applications of Machine Learning and Data Science in
Seismology*

The increase in computational capability in the past decade has made it
possible to introduce and apply novel machine learning/data science
algorithms and tools to the field of seismology, with the hope of
extracting useful information from large and complex seismic data sets.
Recent attempts in the seismology applications have shown encouraging
results in, for example, seismic signal detection and classification,
seismic data interpolation, earthquake parameter estimation, seismic noise
analysis and reduction, subsurface structure imaging and complex
signals/models visualization. More advanced techniques and algorithms are
emerging with new possibilities, for instance: deep learning based on
learning data representations has the potential to extract superior results
from large-scale datasets. The application of these new techniques can help
improve our understanding of Earth structure and seismic sources from a
brand new perspective. This session invites all abstracts relevant to
applications and developments of machine learning and data science in
seismology.

*Session Conveners*
Qingkai Kong, University of California, Berkeley, <kongqk<at>berkeley.edu>
Chengping Chai, University of Tennessee, Knoxville, <cchai1<at>utk.edu>
Zefeng Li, California Institute of Technology, <zefengli<at>gps.caltech.edu>
Min Chen, Michigan State University, <chenmi22<at>msu.edu>
Rongrong Wang, Michigan State University, <wangron6<at>msu.edu>

We look forward to an exciting session with your participation!

14–17 May 2018, Miami, Florida https://seismology2018.org/