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.
Zali, Z., T. Rein, F. Krüger, M. Ohrnberger, F. Scherbaum (2022). OBS noise reduction from horizontal and vertical components using harmonic-percussive separation algorithms, under discussion, doi.org/10.5194/egusphere-2022-823
Zali, Z., M. Ohrnberger, F. Scherbaum, F. Cotton, and E. P. S. Eibl (2021). Volcanic Tremor Extraction and Earthquake Detection Using Music Information Retrieval Algorithms, Seismol. Res. Lett. 92, 3668–3681, doi: 10.1785/0220210016 (PDF)
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).