Seminar Series Computation & Data

The goal of the interdisciplinary seminar series “Computation & Data” at HSU is to bring together researchers and foster exchange on the development of algorithms, methods and software. The seminar series is typically scheduled for the last Wednesday every month, 16:00-18:00, with 1-2 presentations per hybrid session (digital and at HSU).

The event calendar to import or subscribe to the dates of this series can be accessed here.

Feel free to subscribe the seminar newsletter by sending an e-mail to [email protected] with the subject line „Subscription Seminar Computation & Data”

Seminar Series Computation & Data WT23
Poster WT23

Next Sessions: HT 2024

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Seminar Series: Computation & Data (HT2024)

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 satisfy physical constraints. Generative neural…

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 time-consuming for industrial applications. This…

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 used in clinical decision-making. Most…

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, data-driven approaches offer an attractive…
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Letzte Änderung: 13. November 2024