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Eyal Shimony

PhD student in Geophysics, Tel Aviv University

Eyal Shimony is a Ph.D. candidate in Geophysics at Tel Aviv University and a member of the Photonic Seismology Lab led by Dr. Ariel Lellouch, where he develops advanced methods for seismic imaging and microseismic analysis. His research bridges computational modeling, inverse theory, and distributed acoustic sensing (DAS), advancing how seismic data are analyzed and interpreted.

With a strong background in mathematics and physics (B.Sc., Open University of Israel, GPA 95) and a Master’s degree in Geophysics from Tel Aviv University (GPA 98, summa cum laude), Eyal combines analytical rigor with a practical understanding of seismic acquisition and inversion. His current work focuses on improving event detection and subsurface imaging using dense arrays and DAS systems.

Eyal has authored and co-authored a significant number of publications in leading international journals and conference proceedings, reflecting his growing impact in the fields of computational seismology and inverse problems. His studies on waveform inversion, microseismic detection, and DAS applications have contributed to expanding the methodological toolkit available to observational seismology and near-surface exploration.

Before beginning his academic career, Eyal served in the Israeli Defense Forces Intelligence Corps (Unit 8200), where he gained expertise in algorithm development and signal analysis—skills that now inform his research in computational geophysics. His work has been presented at major international conferences, including AGU, SEG, and SSA, and has been supported by the Dan Loewenthal scholarship in 2020 and Aiden scholarship in 2025.

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Publications

- Shimony, Eyal, Asaf Inbal, and Ariel Lellouch. "Revisiting the Ridgecrest Aftershock Catalog Using a Modified Source‐Scanning Algorithm Applied to Multiple Dense Local Arrays." Seismological Society of America 94.1 (2023): 260-280.
 

- Shimony, Eyal, and Ariel Lellouch (2024). "Microseismic Event Location with Dual Vertical DAS Arrays: Insights from the FORGE 2022 Stimulation." Seismological Research Letters.
 

- Lellouch, A., Shimony, E., & Sinitsyn, P. (2024). Optimal recovery of Rayleigh-wave overtones by multi-directional acquisition. Geophysical Research Letters, 51, e2023GL105885.


- Eyal Shimony and Ariel Lellouch, (2025), "Wave equation moment tensor inversion of microseismic events using multiwell distributed acoustic sensing recording," GEOPHYSICS 90: L99-L114.
 

- Eyal Shimony and Ariel Lellouch (2025), “Joint Source-Structure Full Waveform Inversion Using Distributed Acoustic Sensing”, Geophysical Journal International (Under Review)

Contacts

+972-364-082-43

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