MBD Colloquium

Our colloquium is centered around state-of-the-art methods for model-based development and decision support. A particular focus is on efficient numerical methods at the interface of modern simulation and data science, on application-oriented error and uncertainty management for model-based development and decision support, as well as on modern digital infrastructures for computational engineering sciences.

Summer Semester 2026

Upcoming talks

• 📆 26.06 🕚 11:00 📍 GRS001 (Schinkelstr. 2a)
  • Dominik Erd from Mercedes Benz
  • Application of Numerical Corrosion Modeling in the Automotive Industry
• 📆 17.07 🕚 11:00 📍 GRS001 (Schinkelstr. 2a)
  • Alex Svalova from Newcastle University
  • TBD

Past talks

• 📆 05.06 🕚 11:00 📍 GRS001 (Schinkelstr. 2a)
  • Ashwin Nayak from MPI Magdeburg
  • MaRDIMark: an extensible benchmarking framework and its instances
• 📆 22.05 🕚 11:00 📍 GRS001 (Schinkelstr. 2a)
  • Prof. Dr. Kathrin Flaßkamp from Universität des Saarlandes
  • Learning with Structure: How Systems and Control Theory Shapes Machine Learning for Dynamical Systems

Talks in previous semesters

Winter Semester 2025-2026

• Sophie Hörnschemeyer and Robin Paar | Beyond Saint-Venant: Multilayer and Moment-based extensions to the Shallow Water Equations | IGPM @ RWTH and ACoM @ RWTH |
• Anil Yildiz, Dr. sc. | pyrootmemo: A package to unify root reinforcement models | MBD @ RWTH |
• Dr. Dipl.-Ing. Anneli Guthke | Formal Treatment of Uncertainties in Earth Science Modelling: Merits & Pitfalls of Bayesian Model-Data Integration | SimTech @ Uni Stuttgart |
• Prof. Dr.-Ing. Weihan Li | Digitalizing the Future of Battery Technology: Insights from CARL Research Center | ISEA @ RWTH |
• Thomas Boland | Reconstruction of Spent Nuclear Fuel Casks using Muon Tomography | FZ Julich |
• Ajay Rangarajan | Computational Science Across Academia and Industry | Ansys/Synopsys |
• Univ.-Prof. Dr. Stephan Husung | Collaborative and Knowledge-Based Systems Engineering | TU Illmenau |
• Dominik Steinberg | Condition Monitoring for Heliostat Fields: Experimental Stress–Response Signature Analysis Based on Operational Measurements | DLR |
• Dr. Johannes Auke Postma | OpenSimRoot: Modeling root growth, water uptake and infiltration | IBG @ FZ Julich |

Summer Semester 2025

• Alan Correa | The I in FAIR: Solutions for HeterOgeneous Workflows in Model-based Engineering applications - SHOWME.how | MBD @ RWTH |
• Julia Kowalski | Quantum Computing in Engineering | MBD @ RWTH |
• Boyung Jürgens | Surrogate modeling in Energy Systems Engineering | LTT @ RWTH |
• Christoph Bannwarth | Efficient potential energy surface exploration for predictive quantum chemistry simulations | IPC @ RWTH |
• Chia Chang | High-dimensional problems in Gaussian Process Emulation | MBD @ RWTH |
• Dimitris Loukrezis | High-dimensional uncertainty quantification with applications in electric machine design | Centrum Wiskunde & Informatica, the Netherlands |

Winter Semester 2024-2025

• Juliette Dubois | The sound of submarine landslides: model and simulations | EDDY @ RWTH |
• Manuel Thomas Kreutle | Digital Twins for Safeguards in Nuclear Waste Management | Institute of Fusion Energy and Nuclear Waste Management, FZ Jülich |
• Qian Chen | Modelling Radionuclide Transport and Radiation Dose Predictions in Geological Repositories | MBD @ RWTH |
• Youssef Achari Berrada | Enabling Aerodynamics Simulations with Quantum Neural Networks and Novel Trainable Features Maps | BMW Group |
• Xilin Xia | Development and applications of computational models for natural hazards and climate risk assessment | University of Birmingham |
• Tim Cramer | CLAIX: Usage of Apptainer, Cluster Performance & Energy Monitoring | RWTH IT Center |
• Jonas Luft | ENERsyte: scaling up heat planning in Germany | Syte |
• Immo Huismann | Software Engineering for the next-generation flow solver CODA | DLR |

Summer Semester 2024

• Antara Dasgupta | Data Driven Computing in Flood Inundation Mapping, Modelling, and Forecasting | IWW @ RWTH |
• Maria Gracka | Blood flow simulation using multiphase approach | MBD @ RWTH |
• Dipankul Bhattacharya & Ingo Steldermann | Cryotwin: Towrds the Integration of a Predictive Framework for Thermal Drilling (DB) & Numerical Simulation of a Pumped Storage Hydropower System (IS) | MBD @ RWTH |
• Satyvir Singh | Computational Modeling of Shocked Hydrodynamic Instability | ACOM @ RWTH |
• Hakan Tanyas & Luigi Lombardo | Monitoring and prediction of hillslope failures | University of Twente (NL) |
• Alex Svalova | Emulating computer experiments of rail infrastructure slope stability using Gaussian processes and Bayesian inference | Newcastle University (UK) |

Winter Semester 2023-2024

• Marcel Gollé-Leidreiter | Segmentation of corrosion-critical structures under consideration of design measures and electrolyte loading | Mercedes-Benz |
• Stefanie Elgeti | Lightweight Design: From Component Design via Analysis to Manufacturing | ILSB - Vienna University of Technology |
• Michael Schlottke-Lakemper | Challenges of sustainable research software engineering in Trixi.jl | RWTH Aachen University |
• Florian König | Model-based Tribology | IMSE @ RWTH |
• Daniel Caviedes-Voullième | Scaling-up computational hydrodynamics and hydrology with HPC | Simulation & Data Laboratory Terrestrial Systems - FZ Jülich |
• Alex Brenner | Data-driven condition monitoring for parabolic trough plants | DLR |
• Felix Oesterle | AvaFrame - Open source and open data avalanche modelling | Austrian Avalanche and Torrent Service |
• Soroush Motahari | Investigating the brittle behavior of hexagonal ice by coupling full-field crystal plasticity and phase field damage | MPIE |
• Stefanie Guenther |Optimal control of quantum systems on HPC platforms| Lawrence Livermore National Laboratory |

Summer Semester 2023

• Mithlesh Kumar | Towards a unified Bayesian model selection workflow for shallow flow models | MBD @ RWTH |
• Markus Apel | Solidification microstructures in metallic alloys: Phase-field simulations and the physics behind | ACCESS e.V. |
• Philipp Franke | Data assimilation and air quality assessments: General aspects, challenges and potentials | ICE-3 @ FZ Jülich |
• Max Sondag | Visualizing geospatial data and models | Chair of Visualization and Visual Analytics, Uni Köln |
• Omer Kemal Adak | Model-based Methods in Ground-Robot Interaction | GUT @ RWTH |
• Vasileios Angelidakis | From Soil Mechanics to Granular Metamaterials: Exploring the Universality of Particulate Matter via Discrete Element Simulations | Institute for Multiscale Simulation - FAU |
• Ribana Roscher | Generating the Unseen and Explaining the Seen - On the use of explainable machine learning for the agricultural and environmental sciences | FZ Jülich-Uni Bonn |

Winter Semester 2022-2023

• Muhammad Waqar | Analysis of field test data and development of a data-driven model to describe the behaviour of ice melting probes | MBD / DSME @ RWTH |
• Qian Chen | Optimal data acquisition and Smart-Monitoring for Nuclear Waste Repositories | MBD @ RWTH |
• Benjamin Terschanski | The three big M in Ice Interface Modeling | MBD @ RWTH |
• Julia Kowalski | EXC: HiCo | MBD @ RWTH |
• Hu Zhao | PSimPy: GP-based framework for sensitivity analysis, uncertainty quantification, and parameter calibration of expensive physics-based models | MBD @ RWTH |
• Markus Apel | Solidification microstructures in metallic alloys: Phase-field simulations and the physics behind | ACCESS e.V. |
• Thomas Nagel | Codes, process models and material knowledge: aspects of quality assurance in numerical safety analyses | TU Bergakademie Freiberg |
• Clint Dawson | Coastal Ocean Modeling for Flood Related Hazards | UT Austin |
• Julian Hofmann | Using machine learning to predict urban flash flooding in real time | IWW @ RWTH |

Summer Semester 2022

• Daniel Hornung | Interactive workshop: Hands-on data management with CaosDB and Python | IndiScale GmbH |
• Raul Fuentes | Physics Informed Neural Networks applied to deep seated landslides with defined clay shear bands | GUT @ RWTH |
• Olaf Eisen | Icy secrets: Non-destructive probing of ice masses and their surroundings with geophysical methods | Alfred-Wegener-Institut |
• Sergey Oladyshkin | Surrogate modelling for environmental systems: Bayesian Active Learning | IWS, University of Stuttgart |
• Anil Yildiz | Combining green infrastructure and ground heat exchangers in urban areas | MBD @ RWTH |
• Anil Yildiz | Physics-informed machine learning to model rapid complex geohazards | MBD @ RWTH |
• Ann-Kathrin Edrich | A modular and scalable workflow for data-driven modelling of shallow landslide susceptibility | MBD @ RWTH |
• Hu Zhao | Efficient probabilistic parameter calibration of landslide run-out models via Bayesian active learning | MBD @ RWTH |
• Marc S. Boxberg | Investigation of ice with geophysical measurements during the transit of cryobots | MBD @ RWTH |
• Leonardo Boledi | Computational multiphysics modelling to predict the performance of melting probes in ice | MBD @ RWTH |
• Ingo Steldermann & Ulika Scholz | Resolving vertical flow structure with (dispersive) shallow moment equations | MBD @ RWTH |
• Mengyang Gu | Scalable Gaussian Process for Computer Model Emulation and Uncertainty Quantification | UC Santa Barbara |
• Simon Stähler | Using seismology on future space missions to investigate icy ocean worlds | ETH Zürich |
• Jacob Buffo | The Multiphase Dynamics of Ice-Brine Systems: From Earth to the Outer Solar System | Darthmouth College |
• Elena Pummer | Modelling of flow and sediment transport for engineering applications | NTNU Trondheim |
• Johan Gaume | Recent advances in the simulation of snow avalanches and cascading mass flows | EPFL |
• Benjamin Terschanski | The big three M in Ice Interface Modeling | MBD @ RWTH |

Winter Semester 2021-2022

• Ingo Steldermann | On the Coupling of Thermodynamic and Electrodynamic Systems | MBD @ RWTH |
• Leonardo Boledi | High-fidelity computational modelling of cryobots | MBD @ RWTH |
• Anna Simson | On-board conductivity measurements to infer salt content | MBD @ RWTH |
• Qian Chen | Acoustic traveltime tomography of a cryobot’s ambient ice at Langenferner Glacier, Italy | MBD @ RWTH |
• Hu Zhao | Gaussian processes for sensitivity analysis, Bayesian inference, and uncertainty quantification in landslide research | MBD @ RWTH |
• Sascha Bodenburg | Automatic workflow around SHEMAT-Suite to derive the subglacial melting rate from the geothermal heat flux | MBD @ RWTH |
• Ann-Kathrin Edrich | Machine learning based prediction of shallow landslides | MBD @ RWTH |
• Alex Svalova & Peter Helm | Infrastructure slope stability models and their emulation using Gaussian processes and Bayesian inference | Newcastle University |
• Janis Heuel | Suppression of Wind Turbine Noise from Seismological Data using a Denoising Autoencoder | Ruhr-Universität Bochum |
• Anna Simson | Modular and extendable Eulerian–Lagrangian numerical scheme to model transport processes in snow | MBD @ RWTH |
• Bastian Winkels | Quantifying rainfall forecast uncertainty on the basis of flood events in July 2021 | RWTH Aachen University |
• Hans Huybrighs | Europa’s water plumes | ESA / ESTEC |
• Anna Zier | Utilization of Python in Neuroscience - Localizing the origin of finger movement in the brain | Università Padova / Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig |
• Markus Abel | Symbolic Regression for Prognosis with application on ozone forecast based on the Toar database | Ambrosys GmbH - Gesellschaft für Management komplexer Systeme |
• Ban-Sok Shin | Towards distributed subsurface imaging using a multi-agent network | DLR Institute for Communication and Navigation |
• Elham Mahmoudi | System identification and reliability analysis in major geotechnical projects | Ruhr-Universität Bochum |