Geophysik-Seminar im Sommersemester 2026
Soweit nicht anders angegeben, findet das Seminar montags von 16:15 - 17:45 Uhr im Raum 1438 statt.
- 13.04.2026
Dr. Simone Cesca, GFZ Potsdam
Are earthquakes reversible? Anti-repeating earthquakes and where to find them. - 20.04.2026
Laurin Müller, IfG Hamburg
M. Sc. Defense: Leveraging 6-component seismic data for structural health monitoring of wind turbines. - 27.04.26
Ping Yang, IfG Hamburg
Prepartory Project: Monitoring Groundwater Variations Using Ambient Seismic Noise Correlation in Hamburg - 18.05.26
Daniel Peppel, IfG Hamburg
SO2 - Camera First Results: Sakurajima Volcano, Japan.
Lisa Ischebeck, IfG Hamburg
Portable Antenna System for Electric Field Monitoring During Volcanic Eruptions:
First Results from Sakurajima Volcano, Japan. - 01.06.2026
Dr. Sabrina Keil, Stadtwerke München
Induced Seismicity due to Geothermal Energy Production in the Greater Munich Area. - 08.06.2026
Prof. Katharina-Sophie Isleifyse, Helmut-Schmidt-Universität
Is it the Earth or the Universe shaking? – Direct and gravity-mediated seismic noise in gravitational-wave observatories. - 15.06.2026
Abdelrahman Ali, IfG Hamburg
M. Sc. Defense: What is Normal? A Data-Driven Approach to Anomaly Detection in Distributed Acoustic Sensing (DAS). - 22.06.2026
Dr. Sergio Diaz-Meza, GFZ Potsdam
Nonlinear ground response of granular materials; Insights from volcanic explosions at Mt. Etna, Sicily. - 29.06.2026
Dr. Fabian Dethof, Helmut-Schmidt-Universität
Applications of numerical simulations for impact echo and ultrasonic testing on concrete structures. -
06.07.26
Dr. Verónica Rodríguez Tribaldos, GFZ Potsdam
Optimizing DAS Ambient Seismic Noise Interferometry for High-resolution Investigation of the Urban Subsurface: A Case Study in Istanbul. -
13.07.2026
Parham Takapouy, IfG Hamburg
Annalena Friedrich, IfG Hamburg
Prepartory Project: 3D numerical simulation of strain measurements for improved anomaly detection using SPECFEM3D
Pepartory Project: 3D numerical simulation of strain measurements for improved anomaly detection using SPECFEM3D.