Jun 25 2024

Seminar Series: Computation & Data on Wed, 26.06.2024, 16:00-17:00

on-site: seminar room 310 digital: MS Teams (link shared via e-mail) Tobias Bohne (UniBw M): Predicting and Analyzing Violent Conflict using Machine Learning ApproachesCrisis early warning systems are essential tools for conflict prevention and mitigation. Following the principle of “early warning, early action”, armed conflict forecasts can assist policymakers in anticipating…
May 15 2024

Seminar Series: Computation & Data on Wed, 29.05.2024, 16:00-17:00

on-site: complex room 1006digital: MS Teams (link shared via e-mail) Marcus Stiemer: Mathematical Optimization and Machine Learning to Support Electronic Design Automation Electronic design is a hierarchical process starting from a conceptional system description, which is gradually transformed into a schematic, its physical realization (e.g., as a printed circuit board –…
Apr 21 2024

Seminar Series: Computation & Data on Wed, 24.04.2024, 16:00-18:00

Location:on-site: complex room 1006digital: MS Teams (link shared via e-mail) Fabian Dethof: Simulating “semi-guided” elastic wave propagation in concrete – understanding Impact Echo dataThe usage of low-frequency signals and easy data acquisition make Impact Echo a widely applied NDT method in the field of civil engineering ever since its introduction in…
Mar 13 2024

Seminar Series: Computation & Data on Wed, 27.03.2024, 16:00-18:00

Location: on-site: Mensa-Room 0001digital: MS Teams (link shared via e-mail) Sebastian Brandstäter (UniBw M): Sensitivity Analysis for Biomechanical ModelsUncertainty plays a crucial role in active biomechanical systems, primarily due to their inherent high natural variability. This variability should be considered in any biomechanical modelling endeavour, but particularly when the models are…
Feb 26 2024

Seminar Series: Computation & Data on Wed, 28.02.2024, 16:00-18:00

Location: Mensa-Room 0001; digital participation (link shared via e-mail) Ali Khalifa: Neural Network-Based Multiscale Modeling of Deagglomeration due to Wall Impact and CollisionsPredicting the evolution of micron-sized particle system  in fluid flows is crucial for natural processes and industrial applications like pharmaceuticals. Fully-resolved simulations are costly due to scale variations. Hence,…
Jan 17 2024

Seminar Series: Computation & Data on Wed, 31.01.2024, 16:00-18:00

Location: Mensa-Room 0001; digital participation (link shared via e-mail) Volker Gravemeier: A Multiphysics Computational Method for Coupled Simulations of Tribological Systems A novel multiphysics computational method for thermal elastohydrodynamic lubrication and results obtained from applying it to tribological systems will be presented. It enables detailed insights beyond the ones having…
Oct 17 2023

Seminar Series: Computation & Data on Wed, 13.12.2023, 16:00-18:00

Valentina Pessina (UniBw M): Modeling Rarefied and Continuous High Angle-of-Attack Hypersonic. Reentry into Martian Atmosphere with Open-Source SoftwareHypersonic reentry of the Viking capsule in the Martian atmosphere is the object of this study. During the descending trajectory (140 Km - 31 km), the flow regime changes from free-molecular to continuous.…
Oct 17 2023

Seminar Series: Computation & Data on Wed, 29.11.2023, 16:00-18:00

Therese Rosemann & Yannis Schumann (HSU): Digital  Competences and Digital Learning Behavior in Higher Education - Generation of individualized Feedback in a Longitudinal Study (DigiTaKS* and hpc.bw)Researchers in the educational sciences often face the challenge of recruiting sufficient study participants to produce sound results. As one incentive for participation, an…
Oct 17 2023

Seminar Series: Computation & Data on Wed, 25.10.2023, 16:00-18:00

Maria Maleshkova (HSU): Digital Twins – Building Blocks for Medical Data ScienceDigital Twins have become an established technology for realizing Industrie 4.0 applications, especially in the context of creating monitoring, optimization, or analytic systems. It is only in recent years that the potential of employing digital twins in the medical…