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Matter meets Information: Common Challenges and Perspectives

14–15 Jan 2019
DESY
Europe/Berlin timezone

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Contribution List

20 / 20
0. Welcome
Prof. Helmut Dosch (DESY)
14/01/2019, 13:30
14. Introduction Information
Prof. Christof Wöll (KIT)
14/01/2019, 13:40
13. Introduction DMA
Dr Michael Bussmann (Helmholtz-Zentrum Dresden - Rossendorf)
14/01/2019, 13:55
4. INFORMATION Talk 2: Computational analysis of the connection between biological response and material properties of biomaterials
Prof. Regine Willumeit-Römer (HZG)
14/01/2019, 14:10
3. DMA Talk 2: Imaging techniques scalable in resolution, volume & rate
Prof. Christian Schroer (DESY)
14/01/2019, 14:40
2. INFORMATION Talk 1: Machine learning for data analysis of large volume data and measurement steering
Dr Jürgen Mohr (KIT)
14/01/2019, 15:10
1. DMA Talk 1: Machine Learning for data analysis, modelling & control
Frank Gaede (DESY)
14/01/2019, 15:40
6. INFORMATION Talk 3: Analysis of imaging data by machine learning // Computational analysis of Data gained from in situ and in operando studies of biomaterials
Dr Florian Wieland (HZG), Dr Julian Philipp Moosmann (HZG)
14/01/2019, 16:30
5. DMA Talk 3: Data analysis for extremely large data samples
Thorsten Kollegger (GSI)
14/01/2019, 17:00
8. INFORMATION Talk 4: Correlative characterization for ex-situ and in-situ analysis
Dr Christian Kübel
14/01/2019, 17:30
7. DMA Talk 4: HPC Start-to-end simulations & digital twins
Axel Huebl (HZDR)
14/01/2019, 18:00
15. Wrap-up Day 1
Dr Michael Bussmann (Helmholtz-Zentrum Dresden - Rossendorf), Volker Guelzow (DESY)
14/01/2019, 18:30
9. DMA Talk 5: Extreme throughput data taking, management & analysis
Dr Guido Juckeland (Helmholtz-Zentrum Dresden-Rossendorf (HZDR))
15/01/2019, 09:00
10. INFORMATION Talk 5: Data reduction in the cloud // Instrument and experiment specific software development
Dr Joachim Wuttke (FZJ)
15/01/2019, 09:30
If instruments generate so much data that users cannot take them home, or if users are not able to install software on their own computers, then the solution could be to offer data reduction and analysis as a service on a cloud server. For efficient operation of user facilities like JCNS, data reduction and analysis software must be consolidated, made more user friendly, and adapted to...
11. DMA Talk 6: Petascale data integration, data fusion & meta data management
Mr Martin Gasthuber (DESY), Dr Mohammad Al-Turany (GSI Helmholz)
15/01/2019, 10:00
12. INFORMATION Talk 6: Virtual Design of Quantum Materials
Dr Daniel Wortmann (FZJ)
15/01/2019, 10:30
16. Wrap-Up Day 2
Dr Michael Bussmann (Helmholtz-Zentrum Dresden - Rossendorf), Volker Guelzow (DESY)
15/01/2019, 11:30
17. Discussion in thematic groups
15/01/2019, 11:45
18. Informal discussion
15/01/2019, 12:45
19. Workshop Conclusion
15/01/2019, 13:10
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