Prof. Rauno Cavallaro, Associate Professor, Department of Aerospace Engineering, Universidad Carlos III of Madrid, Spain Title: Multidisciplinary Design Optimization for Next-Generation Sustainable Aircraft Abstract: Achieving climate neutrality in aviation demands a clearly structured roadmap for the integration of disruptive technologies … Continue reading →

Dr. Emil Løvbak, Computational Science and Mathematical Methods Group at SCC, Karlsruhe Institute of Technology (KIT) Title: Monte Carlo Adjoints with Reversible Random Number Generators Abstract: Kinetic equations, modeling particles in a position-velocity phase space, have many high-impact application areas, … Continue reading →

Yan Muller, Department of Computer Science, University of Kaiserslautern-Landau (RPTU) Title: Partial Least Squares Regression Abstract: This thesis investigates the use of Partial Least Squares (PLS) regression for dimensionality reduction in machine learning applications. A simple linear experiment first demonstrates … Continue reading →

Julia Manger, Department of Computer Science, University of Kaiserslautern-Landau (RPTU) Title: Bayesian Optimization with Inequality Constraints Abstract: Bayesian Optimization (BO) is an effective method for optimizing expensive-to-evaluate black-box functions, often applied in engineering and machine learning. Many real-world problems involve … Continue reading →

Dr. Zebang Shen, Lecturer at the Department of Computer Science, Institute for Machine Learning, ETH Zürich, Switzerland Title: Provable Maximum Entropy Manifold Exploration via Diffusion Models Abstract: Exploration is critical for solving real-world decision-making problems such as scientific discovery, where … Continue reading →

Dr. Roman Pöschl, Laboratoire de Physique des 2 Infinis Ir`ene Joliot-Curie (IJCLab) / Universit´e Paris-Saclay, 91405 Orsay, France Title: The Detector R&D (DRD) on Calorimetry – Introduction and overview Abstract: -> Download Slides   Calorimeters play a pivotal role in … Continue reading →

Alexander Schilling, Chair for Scientific Computing (SciComp), University of Kaiserslautern-Landau (RPTU) Title: Proton Therapy Range Verification with a Digital Tracking Calorimeter Abstract: Proton therapy is highly sensitive to range uncertainties due to the nature of the dose deposition of charged … Continue reading →

Raju Ram, Bosch, Leonberg, Germany Title: Hybrid Parallel Preconditioners in Domain Decomposition Methods: Achieving Robustness and Scalability in the Solution of Large-Scale Linear Systems Abstract: Krylov subspace solvers like GMRES and preconditioners such as ILU are widely used for solving … Continue reading →

Prof. Dr. Alexander Heinlein, Numerical Analysis Group, TU Delft, The Netherlands Title: Domain decomposition for neural networks Abstract: -> Download Slides   Scientific machine learning (SciML) is a rapidly evolving research field that combines techniques from scientific computing and machine … Continue reading →

Guillermo Suárez, Chair for Scientific Computing (SciComp), University of Kaiserslautern-Landau (RPTU) Title: Reinforcement Learning Discovers Efficient Strategies for Active Flow Control Abstract: We explore the use of reinforcement learning to develop effective strategies for active flow control in unsteady fluid … Continue reading →