• Upcoming talk at the Geodict Innovation Conference, Ramstein-Miesenbach, Germany, February 11-12, 2025. (invited speaker)
• Upcoming talk: Statistical 3D reconstruction of microstructures from 2D data by combining stochastic
  geometry and generative AI. Multiscale Mechanics and Artificial Microstructures at the International Centre for Mathematical Sciences, Edinburgh, UK, December 2-3, 2024. (invited speaker)
• Methods of machine learning and stochastic modeling for the structural characterization of functional battery materials at various length scales. Euromech Colloquium 642 “Multiscale and Multiphysics Modelling for Advanced and Sustainable Materials”, Rome, Italy, September 23-27, 2024. (invited speaker)
• Generative adversarial framework for calibrating stochastic geometry models to ASSB cathode microstructures. Solid State Ionics, London, UK, July 15-19, 2024. (invited speaker)
• Generative adversarial framework for calibrating stochastic geometry models to ASSB cathode microstructures. Modelling, Data Analytics and AI in Engineering, Porto, Portugal, July 2-5, 2024.
• Machine learning methods for the statistical reconstruction of 3D morphologies from projective microscopy images. 15th International Conference on Genomics and Systems Biology of Human Disease and Aging, Chania, Greece, June 22-27, 2024.
• Quantifying the impact of operating conditions on particle cracking in Li-ion battery cathodes, using superresolution of SEM images and stereology. 20th Symposium on Modeling and Experimental Validation of Electrochemical Energy Technologies, Baden, Switzerland, 2024.
• Methods from machine learning and stochastic modeling for the characterization of particles with irregular shapes. 16th German Probability and Statistics Days GPSD, Essen, Germany, 2023.
• Quantifying the impact of charge rate and number of cycles on particle cracking in Li-ion battery cathodes. Oxford Battery Modelling Symposium, Oxford, United Kingdom, 2023.
• Stochastic multi-scale modeling of cathode particle geometry supported by methods from machine learning. 4th International Symposium on Continuum Models and Discrete Systems, Paris, France, 2023.
• Stochastic multi-scale modeling of cathode particle geometry in lithium-ion batteries supported by methods from machine learning. 10th International Workshop on Applied Probability, Thessaloniki, Greece, 2023.
• Quantifying the impact of charge rate, number of cycles and operating temperature on particle cracking in Li-ion battery cathodes. Euromech Colloquium 632 “Data-driven modeling of porous, composite and polycrystalline microstructures for predicting their mechanical and transport properties". Günzburg, Germany, 2023. (invited speaker)
• Methods from machine learning for the structural analysis of Li-ion electrode particles. 18th Symposium on Modeling and Experimental Validation of Electrochemical Energy Technologies, Hohenkammer, Germany, 2022.
• Methods from machine learning for the structural analysis of Li-ion electrode particles. 9thWorld Congress on Particle Technology, Madrid, Spain, 2022.
• Methods from machine learning for the structural analysis of Li-ion electrode particles. MSE Congress, Darmstadt, Germany, 2022.
• Artificial generation of representative single Li-ion electrode particle architectures from microscopy data. 16th U.S. National Congress on Computational Mechanics, Chicago, United States, 2021.
• Artificial generation of representative electrode particle architectures from microscopy data. 17th Symposium on Modeling and Experimental Validation of Electrochemical Energy Technologies, Sion, Switzerland, 2021.
• Artificial generation of representative single Li-ion electrode particle architectures from microscopy data. Applied Mathematics and Simulation for Semiconductors and Electrochemical Systems, Berlin, Germany, 2021.
• Methode zur Rekonstruktion von 2D Merkmalsverteilungen für Gold-Nanostäbchen mittels 1D Messungen. Hybrides Jahrestreffen der ProcessNet-Fachgruppe Partikelmesstechnik und des Arbeitsausschusses Feinstäube, Clausthal-Zellerfeld, Germany, 2020.
• Extraction of poorly visible grain boundaries from tomographic image data, using convolutional neural networks. 10th International Workshop on Simulation and Statistics, Salzburg, Austria, 2019.
• Extraction of poorly visible grain boundaries from tomographic image data, using convolutional neural networks. 15th International Congress for Stereology and Image Analysis, Aarhus, Denmark, 2019.
• Kombination konventioneller Bildverarbeitung mit maschinellem Lernen: ein neuer Zugang zur 3D Gefügeanalyse mittels tomographischer Bilddaten. WerkstoffWoche, Dresden, Germany, 2019.
• Sequential aerodynamic classification: Stochastic simulation of differential aerodynamic lenses. International Congress on Particle Technology, Nürnberg, Germany, 2019.
• Stochastic grain models in 3D, based on the typical cell of stationary random tessellations. International Conference on Stereology, Spatial Statistics and Stochastic Geometry, Prague, Czech Republic, 2018.