Mar 01 2025

Seminar Series: Computation & Data on Wed, 26.03.2025, 16:00-18:00

on-site: seminar room 403digital: link via E-Mail ([email protected]) Markus Klein (UniBw M): Towards LES of Liquid Jet Atomization Using an Eulerian-Lagrangian Multiscale ApproachThe predictive simulation of industry-scale atomizers remains difficult to date. While LES based on a combination of interface capturing and Lagrangian particle tracking is a promising strategy, the…
Mar 01 2025

Seminar Series: Computation & Data on Wed, 26.02.2025, 16:00-18:00

on-site: seminar room 403digital: link via E-Mail ([email protected]) Gerhard Schreiber (HSU): Data Toxicality: Observations and Reflections from a Techno-Ethical PerspectiveIn biochemistry, “toxic” refers to the harmful effects of a substance when it comes into contact with a biological system. Extending this scientific concept, “toxic” has increasingly been applied to destructive…
Jan 27 2025

Seminar Series: Computation & Data on Wed, 29.01.2025, 16:00-18:00

on-site: seminar room 403online: MS Teams (link via E-Mail: [email protected]) Natalie Rauter (HSU): How to predict material behavior by utilizing neural networksNumerical simulations of materials can be challenging and time consuming when dealing with complex microstructures, different scales, and damage evolution. Here, NN can be beneficial by reducing the complexity…
Nov 25 2024

Seminar Series: Computation & Data on Wed, 18.12.2024, 16:00-18:00

on-site: seminar room 110 online: MS Teams (link via E-Mail: [email protected]) Michael Hohmann (HSU): Design Automation: A Conditional VAE Approach to 3D Object Generation under ConditionsTraditionally, engineering designs are created manually by experts. This process can be time-consuming and requires significant computing resources. Designs are iteratively created and simulated to…
Nov 13 2024

Seminar Series: Computation & Data on Wed, 27.11.2024, 16:00-18:00

on-site: seminar room 110 online: MS Teams (link via E-Mail: [email protected]) Daniel Wolff: Optimal design through learning-based ap-proaches: Harnessing reinforcement learning and physics-informed neural networks for optimizing flow channels in profile extrusion diesOptimizing product design is crucial across various engineering domains, often relying on computational simulations that can become prohibitively…
Oct 16 2024

Seminar Series: Computation & Data on Wed, 30.10.2024, 16:00-18:00

on-site: H1, room 110digital: MS Teams (link shared via e-mail) Katharina Goldberg (HSU) - Legal Introduction to the AI ActThe AI Act (Regulation (EU) 2024/1689) was adopted by the European Parliament and the Council on 13 June 2024. This regulation was preceded by many years of preparation, discussions and lobbying by…
Jul 16 2024

European Trilinos & Kokkos User Group (EuroTUG) 2024

Group Picture: EuroTUG 2024 The EuroTUG 2024 took place at HSU from 24.06.-26.06.2024. The event began with a lecture by Jakob Bludau (TUM Munich) on introduction to Kokkos on the first day, followed by a lecture by Chris Siefert (Sandia) on the transition from Epetra to Tpetra. The second day…
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 –…