Seminar Computation & Data

Speaker: Derek Groen from Brunel University London. Derek is a lecturer in simulation and modeling, and his research is interdisciplinary, focusing primarily on multiscale modelling and high-performance computing for various applications. Title: Multiscale Migration Modelling using Supercomputers: enabling agent-based modelling forecasts in a world of messy, inaccessible, biased and incomplete data Abstract: In this talk […]

Speakers: Thomas Döbbert and Martin Holters Title: Digital sensor-2-cloud campus platform Abstract: Wireless networks support highly flexible manufacturing processes towards the digitization of industrial production (automation). 5G is currently being marketed as universal solution for future wireless communication. However, also other wireless technologies are beneficial and are offering energy efficient and cost-effective solutions, even with […]

Andreas Fink (HSU): HPC for Solving Combinatorial Optimization Problems in Logistics: Challenges and Examples

Benedikt Hein (HSU): Distributed Deep Reinforcement Learning: How a hundred years of experience can be gathered in one day

Matthias Mayr (UniBw M): Sustainable development of multi-level block preconditioners in Trilinos/MueLu In this talk, we will summarize our developments of scalable multi-level block-preconditioning methods in the framework of Trilinos/MueLu for the efficient solution of multi-physics phenomena. The simulation of such phenomena plays an important role in various disciplines. To efficiently solve the arising linear […]

Christian Brandlhuber (21 strategies GmbH): Battlefield superiority by enhanced tactics. AI for tactical decision sequences and emergence

Alexander Popp (UniBW M): Scalable computational kernels and linear solvers for FEM-based computational contact mechanics

Bernd Flemisch (Universität Stuttgart): The open-source simulator DuMux - experiences and practices from 15 years of development
Powei Huang (Eidgenössische Technische Hochschule Zürich): Reactive transport modeling in aqueous environments using the Nernst-Planck formulation

Chaitanya Kandekar (HSU): A Thermo-hydro-mechanical modelling for concrete under fire loads

Maria Krantz (HSU): Generating Data for the Training of Machine Learning Algorithms for CPPS

Nils Margenberg (HSU): Hybrid Finite Element/Deep Neural Networks Methods for Accelerating Fluid-Dynamics Simulations

Louis Viot (HSU): New developments within the Macro/Micro Coupling software MaMiCo for highly parallelized multiscale flow simulation

Frederike Vogel (HSU): Supervised learning for analyzing movement patterns in a virtual reality experiment

Marcel Eckert (HSU): How FPGAs can speed up algorithms by 2 examples