Talks and presentations
Invited Talks
- From inverse problems to machine learning: a data science journey across scientific domains
Women in Data Science Worldwide Villach; 30. April 2026
R. Boiger Livestream: https://www.youtube.com/watch?v=3YvQYvJ4FbI - Machine learning-accelerated discovery of green cement recipes
Gordon Research Conference and Seminar; 13.-20. Februar 2026
R. Boiger - Machine learning-accelerated discovery of green cement recipes
Global Cement AI Seminar; 7 October 2025
R. Boiger, B. Xi - Machine learning applications for nuclear waste disposal and beyond
ML Seminar, Paul Scherrer Institut, Villigen, Switzerland · 20 November 2024
R. Boiger, H. Peng, B. Xi - Machine Learning-based Lithology Classification and Mineral Content Regression from Drill Core Images
Seminar, Kochi University, Japan · 1 October 2024 - Retrieval of aerosol properties from in situ, multi-angle light scattering measurements using invertible neural networks
LEAP ML Climate Journal Club, Columbia University, USA (online) · 25 May 2023
R. Boiger, R. Modini - Inverse Problems for Particle Accelerators
Deep Learning for Inverse Problems, Mathematisches Forschungszentrum Oberwolfach, Germany (online) · 2021 - Modelling and Machine Learning for industrial sensing applications
1st Alps-Adriatic Inverse Problems Workshop, Klagenfurt, Austria · 2019 - Profile likelihood calculation for time-dependent PDE-constrained parameter estimation problems
Computational Methods in Applied Mathematics (CMAM-7), Jyväskylä, Finland · 2016 - An Online Parameter Identification Method for Time-Dependent Problems
27th IFIP TC7 Conference on System Modelling and Optimization, SophiaTech Campus, Sophia Antipolis, France · 2015 - An Online Parameter Identification Method for Time-Dependent Problems
Applied Inverse Problems Conference, Helsinki, Finland · 2015 - A method for parameter identification in time-dependent systems
7th International Conference on Inverse Problems: Modeling and Simulation, Ölüdeniz-Fethiye, Turkey · 2014
Invited Participation
- Women in Inverse Problems Workshop
Banff International Research Station for Mathematical Innovation and Discovery, Canada (online) · 2021
Contributed Talks
- KI-gestützte Bestimmung von Mineralogie und Diffusivität aus Bohrkernbildern
5. Tage der Standortauswahl, Leipzig, Germany · 2026 - Neural network surrogates for accelerating geochemistry in reactive transport modeling: an open-source workflow
Reactive Transport Workshop, Köln, Germany · 2026 - Direct mineral content prediction from drill core images via transfer learning
Swiss Geoscience Meeting, Bern, Switzerland · 2025 - Direct mineral content prediction from drill core images via transfer learning
Laboratory for Waste Management Seminar, PSI, Villigen, Switzerland · 2024 - Solving the Bateman Equation using Physics Informed Neural Networks
Physics Informed Neural Networks (PINN-PAD), Padova, Italy · 2024 - Inverse Problem of aerosol property retrieval from light scattering measurements
3rd IMA Conference on Inverse Problems from Theory to Application, Edinburgh, United Kingdom · 2022 - Temperature modulated operation of SnO2-based gas sensor arrays
International Conference on Advanced Semiconductor Devices and Microsystems (ASDAM), Smolenice, Slovakia · 2018 - Exploring Temperature-Modulated Operation Mode of Metal Oxide Gas Sensors for Robust Signal Processing
Eurosensors, Graz, Austria · 2018 - Towards Robust Visual Wafer Cleaning Anomaly Detection
18th European Advanced Process Control and Manufacturing Conference (apc/m), Dresden, Germany · 2017 - An Online Parameter Identification Method for Time-Dependent Problems
Variational Methods for Dynamic Inverse Problems and Imaging, Münster, Germany · 2015 - An Online Parameter Identification Method for Time-Dependent Problems
Recent Developments in Inverse Problems, Berlin, Germany · 2015 - A method for parameter identification in time-dependent systems
GAMM, 85th Annual Meeting of the International Association of Applied Mathematics and Mechanics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany · 2014
Poster Presentations
*- EAGE Borehole Geology Workshop Montpellier, 21.9.-25.9.2025 (poster)- Machine-learning approach for mineralogy prediction from drill core images in clay-rich and adjacent formations
Mont Terri Technical Meeting, Porrentruy, Switzerland · 2026 - Automated Prediction of Mineralogy and Effective Diffusivity from Drill Core Images Using Computer Vision and Deep Learning
EAGE Borehole Geology Workshop, Montpellier, France · 2025 - Direct Mineral Content Prediction from Drill Core Images via Transfer Learning
9th Clay Conference, Hannover, Germany · 2024 - Direct mineral content prediction from drill core images via transfer learning
Data Science for the Sciences (DS4S) Conference, Bern, Switzerland · 2024 - Direct mineral content estimation from drill core images via transfer learning
Mont Terri Technical Meeting TM-41, Porrentruy, Switzerland · 2024 - Towards Robust Visual Wafer Cleaning Anomaly Detection
I-Know Data-Driven Future Conference, Graz, Austria · 2017 - An Online Parameter Identification Method for Time-Dependent Problems
Women in Optimization, Heidelberg, Germany · 2015 - Regularization Methods for time-dependent Inverse Problems
1st Conference for Junior Scientists at the University of Klagenfurt (weiter.wachsen), Klagenfurt, Austria · 2013
