Johannes Faber

GSI Helmholtz Centre for Heavy Ion Research — Germany

Computer Science · Physical Sciences

10h-index334citations61works1.32yr avg
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Research Topics

Seismology and Earthquake Studies(30), Earthquake Detection and Analysis(21), earthquake and tectonic studies(14), Seismic Waves and Analysis(14), Seismic Imaging and Inversion Techniques(9)

Publications61 total

Explanation of the observed violation of isospin symmetry in relativistic nucleus-nucleus reactions
Physics Letters B·2026Open Access
Neural Earthquake Forecasting with Minimal Information: Limits, Interpretability, and the Role of Markov Structure
arXiv (Cornell University)·2025Open Access
Using Machine Learning for automatic rock classification
American Mineralogist·2025· 2 citedOpen Access
A Deep Learning Pipeline for Large Earthquake Analysis using High-Rate Global Navigation Satellite System Data
arXiv (Cornell University)·2025Open Access
Possible explanation of the irregular energy dependence of the rapidity width of $\phi$ mesons observed in Pb+Pb collisions
GSI Repository (GSI Helmholtzzentrum für Schwerionenforschung)·2025Open Access
Determination of the $\phi$ -meson production process and its absorption cross section via directed flow
GSI Repository (GSI Helmholtzzentrum für Schwerionenforschung)·2025Open Access
Charmed hadron production from secondary $\overline{p} + p$ annihilations in p+A reactions at FAIR
GSI Repository (GSI Helmholtzzentrum für Schwerionenforschung)·2025Open Access
High Magnitude Earthquake Identification Using an Anomaly Detection Approach on HR GNSS Data
arXiv (Cornell University)·2024Open Access
When linear inversion fails: Neural-network optimization for sparse-ray travel-time tomography of a volcanic edifice
Artificial Intelligence in Geosciences·2024Open Access
SAIPy: A Python package for single-station earthquake monitoring using deep learning
Computers & Geosciences·2024· 6 citedOpen Access
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Arthroscopy The Journal of Arthroscopic and Related Surgery·2024Open Access
Feasibility of Deep Learning in Shear Wave Splitting analysis using Synthetic-Data Training and Waveform Deconvolution
Seismica·2024Open Access
SAIPy: A Python Package for single station Earthquake Monitoring using Deep Learning
2024Open Access
Testing the Potential of Deep Learning in Earthquake Forecasting
2024· 2 citedOpen Access
Application of Deep Learning to Seismic Event Classification in the Gujarat Region, India
2024· 1 citedOpen Access
Exploring a CNN model for earthquake magnitude estimation using HR-GNSS data
Journal of South American Earth Sciences·2024· 9 citedOpen Access
When linear inversion fails: neural-network optimization for sparse-ray travel-time tomography of a volcanic edifice
arXiv (Cornell University)·2023Open Access
SAIPy: A Python Package for single station Earthquake Monitoring using Deep Learning
arXiv (Cornell University)·2023Open Access
Testing the Potential of Deep Learning in Earthquake Forecasting
arXiv (Cornell University)·2023· 2 citedOpen Access
Shear Wave Splitting Analysis using Deep Learning (SWSNet)
2023Open Access
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Frequent Co-authors

Nishtha Srivastava(30), Megha Chakraborty(19), Horst Stoecker(16), Georg Rümpker(16), Kai Zhou(13), Wei Li(11), Darius Fenner(9), Yu Sha(7), H. Stöcker(7), Claudia Quinteros-Cartaya(7), Georg Ruempker(7), Jonas Koehler(7), Shuiping Gou(6), Domagoj Vnucec(6), Nadine Wetzstein(6), Stefan Schramm(5), Andreas Widl(4), Jonas Köhler(4), Thomas Steckenreiter(3), Wei Li(3)