Zahra Zali

Education

• B.Sc. in Physics, Iran University of Science and Technology, Iran, 2006- 2012
• M.Sc. in Geophysics, Institute for Advance Studies in Basic Science, Iran, 2012- 2015
• PhD Student in Geophysics, University of Potsdam, Germany, since 2018

Areas of Interest and Research

Zahra is interested in multidisciplinary research in seismological signal processing. Within her Ph.D. project ( "Volcanic tremor analysis based on advanced signal processing concepts including music information retrieval (MIR) strategies"), she is trying to exploit MIR techniques beyond music.  Inspired by the algorithms for separating harmonic and percussive components in musical signal processing, she developed a method to extract volcanic tremor signals from seismic recordings (Zali et al., 2021). The overall goal behind this work  is to get more insights into eruptive processes using the extracted volcanic tremor signal.

In addition,  in the field of signal decomposition she is working on algorithms for noise reduction in ocean-bottom seismometer (OBS) recordings.

Publications and presentations

Zali, Z., Ohrnberger, M., Scherbaum, F., Cotton, F, & Eibl. E. P. S. (2021). Volcanic Tremor Extraction and Earthquakes Detection using Music Information Retrieval Algorithms, accepted for publication in Seismological Research Letters.

Zali, Z., Eibl. E. P. S., Ohrnberger, M., &  Scherbaum, F.  (2021). Investigation of the pre-eruptive processes of the 2014/15 Holuhraun eruption based on extracted volcanic tremor signals. Presentation at the General Assembly of the European Geophysical Union 2021. (PDF)

Zali, Z., Scherbaum, F., Ohrnberger, M., Cotton, F, (2020). Automatic transient signal detection and volcanic tremor
 extraction using music information retrieval strategies. Presentation at the General Assembly of the European Geophysical Union 2020. (PDF).