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Training School “AI 4 Seismology”

We are pleased to announce the upcoming International Training School “AI 4 Seismology”, scheduled for May 5-8, 2025. This training program aims to explore the synergies between Artificial Intelligence (AI) and Seismology, and provide a comprehensive platform for knowledge sharing and skills development.

Registration

The participation fee includes all sessions and workshops as well as lunch, snacks and the social evening. Accommodation and travel can unfortunately not be covered by the registration fee and require self-organization.

REGISTRATION

Please register here for the Training School “AI4Seismology”

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Program

The program covers a wide range of topics at the intersection of AI and seismology:

Theoretical Foundations

  • Principles of Seismology and Instrumentation
  • Fundamentals and Advanced Sessions of Artificial Intelligence and Machine Learning, including Transformers, Physics Informed NNs, Graph NNs, Probabilistic Geophysical Inversion and Unsupervised Learning

Advanced AI Applications in Seismology

  • Earthquake Seismology, Phase Picker Algorithms, First-Motion Polarities
  • UMAP
  • Denoising
  • Environmental Signals

Data Management and Computational Techniques

  • Scientific Software Development and Management
  • Open Source Methodologies
  • High-Performance Computing (HPC) in Seismological Research
  • Big Data Analytics for Seismic Data

Schedule

TimeSubjectTrainer
Monday – 05.05.14:00-15:30Fundamentals in Earthquake / Environmental Seismology & InstrumentationDr. Sven Schippkus
30-min break
16:00-17:30Basics in ML (supervised, unsupervised, deep learning)Dr. Robert Haase
17:30-18:00Technical HPC Set-Up
18:00+Icebreaker
Tuesday – 06.05.08:30-09:15Theory I: Transformers for Time Series MLMatthias Täschner
09:15-10:00Theory I – TutorialMatthias Täschner
30-min break
10:30-11:15Theory II: Physics Informed NNsProf. Dr. Tarje Nissen-Meyer
11:15-12:00Theory II – TutorialProf. Dr. Tarje Nissen-Meyer
2-hour lunch break
14:00-14:45Theory III: Graph NNsDr. Martijn van den Ende
14:45-15:30Theory IV: Advanced methods in probabilistic geophysical inversionProf. Dr. Andrew Curtis (online)
30-min break
16:00-16:45Theory V: Unsupervised LearningDr. René Steinmann
16:45-17:30Theory V – TutorialDr. René Steinmann
17:30+Poster Session + Drinks
Wednesday – 07.05.08:30-10:00Applications I + II: Earthquake Seismology, Phase picking, First-Motion PolaritiesProf. Dr. Marine Denolle
30-min break
10:30-11:15Applications III: UMAPDr. Maria Tsekhmistrenko
11:15-12:00Applications IV: DenoisingDr. Han Xiao
2-hour lunch break
14:00-14:45Applications V: Neural OperatorsProf. Dr. Jonathan Bedford
14:45-15:30Applications VI: Environmental SignalsDr. Josefine Umlauft
30-min break
16:00-18:30Optional Tutorial (“Bring your own data”)
19:00+Scientific Networking Event at Moritzbastei
Thursday – 08.05.08:30-10:00Scaling Workflows to Big DataElias Werner, Dr. Siavash Ghiasvand, Dr. Christoph Lehmann
10:30-12:00Scaling Workflows to Big Data – TutorialElias Werner, Dr. Siavash Ghiasvand, Dr. Christoph Lehmann
2-hour lunch break
14:00-15:30Data & Software Management, Open SourceDr. Robert Haase

Methodological Approach

The training school will use a multifaceted approach to ensure comprehensive learning:

  • Lectures: Delivered by experts, providing in-depth theoretical knowledge
  • Practical Sessions: Hands-on workshops to apply theoretical concepts
  • Poster Presentations: Opportunity for participants to present their research
  • Scientific Networking Event: Facilitating collaboration and knowledge exchange

Target Audience

This training school is designed for graduate students, postdoctoral researchers, and professionals in the fields of seismology, geophysics, computer science, and related disciplines who wish to enhance their expertise in AI applications for seismological research.

Confirmed Trainers

Prof. Dr. Tarje Nissen-Meyer (University of Exeter, UK)
Prof. Dr. Marine Denolle (University of Washington)
Dr. René Steinmann (Deutsches GeoForschungsZentrum GFZ Potsdam, Germany)
Dr. Maria Tsekhmistrenko (University College London, UK)
Prof. Dr. Andrew Curtis (online) (University of Edinburgh, Scotland)
Dr. Han Xiao (Deutsches GeoForschungsZentrum GFZ Potsdam, Germany)
Matthias Täschner (ScaDS.AI Dresden/Leipzig)
Dr. Sven Schippkus (Universität Hamburg)
Prof. Dr. Jonathan Bedford (Ruhr Universität Bochum)
Elias Werner (Technische Universität Dresden)
Dr. Siavash Ghiasvand (Technische Universität Dresden)
Dr. Christoph Lehmann (Technische Universität Dresden)

Organizers

Dr. Josefine Umlauft (ScaDS.AI Dresden/Leipzig, Germany)
Dr. Jannes Münchmeyer (ISTerre Grenoble, France)
Dr. Martijn van den Ende (Université Côte d’Azur, France)
Dr. Marius Isken (Deutsches GeoForschungsZentrum GFZ Potsdam, Germany)
Dr. Robert Haase (ScaDS.AI Dresden/Leipzig, Germany)

Cooperation

funded by:
Gefördert vom Bundesministerium für Bildung und Forschung.
Gefördert vom Freistaat Sachsen.