The 3rd CASUS Annual Workshop with the topic “Digital Twins of Complex Systems” was held as an online event from 6 until 9 December 2021.
With more than 200 registrations and up to 90 followers of the livestream the event easily surpassed last year’s edition. Many thanks to all speakers & participants for making the 3rd CASUS Annual Workshop such a success.
Video playlist of the CASUS Annual Workshop 2021
Topic
Digital twins represent the next step in our understanding of complex technical and natural systems. They represent a digital replica of real-life systems on all scales in structure, interactions and evolution over time.
Digital twins are more than models of reality, as they include direct inclusion of sensors and measurements and provide live feedback to their environment and include intelligent systems that interact with the real world. Digital twins thus break the boundary between the pure digital sphere and our daily experience.
Realizing digital twins of complex systems requires utilizing cutting-edge technologies. In this workshop we address the challenges of developing digital twins across scientific domains and in industry, showcasing the most promising approaches and discussing future prospects. We aim for sharing best practices and discuss the potential of technology solutions that cross the boundaries between application areas.
Application areas include but are not limited to Earth Systems Science, Materials Research, Research Infrastructures, Biological Systems, Digital Health, Energy Systems, Digital twins in industry, and more.
The workshop featured key technology areas such as Exascale Computing, Human Machine Interaction, Machine Learning, Artificial Intelligence, Real Time Analytics and Feedback, Intelligent Infrastructures, Simulations, Visual Analytics, Streaming I/O, Scalable Online Analysis, Edge Computing, IoT, Autonomous Systems, and more.
Topics of the workshop included
- Fusion of data from sensors, experiments, measurements and simulations
- Close to real time data integration and data stream incorporation from multiple data sources
- Multi-scale, multi-disciplinary modeling and co-simulation capabilities scalable towards realistic high-resolution complex digital twins
- Interactive and intelligent analysis of the dynamical behavior of digital twins and seamless exploration of the complete digital twin
- Availability of mathematical methods and algorithms for multi-scale simulations, scalable numerical algorithms, agent- and graph-based approaches, network science and complex systems research
Program
Registration and technical test | ||
Welcome address by Roland Sauerbrey, Director CASUS | ||
Opening keynote by Attila Cangi, Research Team Leader CASUS | ||
Veit Hagenmeyer, Director Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology “Digital twins of large scale energy grids” | ||
Coffee break | ||
Marino Zerial, Director Max Planck Institute of Molecular Cell Biology and Genetics Dresden “Digital models of human liver tissue provide new insights into pathophysiological mechanisms” | ||
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Registration and technical test | ||
Thomas Neumuth, Technical Director Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig “Digital patient twins and model-based medicine” | ||
Coffee break | ||
Tjalf Ziemssen, Director Center of Clinical Neuroscience, TU Dresden “Digital twin in healthcare: the use case multiple sclerosis” | ||
Giovanni De Carne, Team Leader “Real Time System Integration”, Karlsruhe Institute of Technology (KIT) “Investigating energy futures: The Energy Lab 2.0 – KARA collaboration at KIT” | ||
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Registration and technical test | ||
Frank Dressel, Acting Head of Department, Institute of Software Methods for Product Virtualization, Software Methods, DLR “How to trust digital twins” | ||
Keynote talk by Felix Schürmann, Co-Director Blue Brain Project, Ecole polytechnique fédérale de Lausanne (EPFL) “Digital twins in neuroscience” | ||
Coffee break | ||
Panel discussion “Digital twins research across domain areas” chair: Omar Awile (EPFL) panelists: Frank Dressel (DLR), Felix Schürmann (EPFL), Nils Wedi (ECMWF) and Michael Bussmann (CASUS) |
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Registration and technical test | ||
Olga Fink, Professor of Intelligent Maintenance Systems, ETH Zürich “Hybrid operational digital twins for complex systems: Fusing physics-based and deep learning algorithms for fault diagnostics and prognostics” | ||
Nils Wedi, Head of Earth System Modelling, ECMWF: “Destination Earth and digital twins of the earth system” | ||
Coffee break | ||
Jaroslaw Harezlak, Assistant Dean of Research Analytics at the Indiana University School of Public Health “Influence of head impact exposure on sport-related concussions: functional data analytic approach” |
Information about the CASUS Annual Workshop 2020 “Fusing Artificial Intelligence & Simulation”
CASUS Annual Workshop scientific organizing committee
Prof. Dr. Roland Sauerbrey, Founding Director of CASUS, Helmholtz-Zentrum Dresden-Rossendorf
Dr. Michael Bussmann, Scientific Head CASUS, Helmholtz-Zentrum Dresden – Rossendorf
Prof. Dr. Sabine Attinger, Head of Department of Computational Hydrosystems (CHS), Helmholtz Centre for Environmental Research – UFZ
Prof. Dr. Wolfgang E. Nagel, Director of the Center of Information Services and High-Performance Computing (ZIH), Technische Unversität Dresden
Prof. Dr. Ivo F. Sbalzarini, Chair of Scientific Computing for Systems Biology MOSAIC Group, Max Planck Institute of Molecular Cell Biology and Genetics
Prof. Dr. Małgorzata Bogdan, Institute of Mathematics, University of Wrocław