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AI4Science workshop

18–22 Sept 2023
FIAS
Europe/Zurich timezone

Contribution List

35 out of 35 displayed
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  1. 1. Arrival and Registration
    18/09/2023, 09:20
  2. 2. Welcome and JRC introduction
    Horst Stoecker (GSi), Dr Jan Steinheimer (Frankfurt Institute for Advanced Studies), Dr Kai Zhou (FIAS, Goethe-University Frankfurt am Main)
    18/09/2023, 09:50
  3. 34. General Introduction of Xidian University and Some Recent Research work in AI for Science.
    Bazhong Shen
    18/09/2023, 10:10
  4. 4. A Physics-based neural network reconstruction of the dense matter equation of state
    Shriya Soma
    18/09/2023, 11:30
  5. 5. AI for High energy heavy Ion collisions
    Manjunath Omana Kuttan (Frankfurt Institute for Advanced Studies)
    18/09/2023, 12:00
  6. 6. Seek for the next trend for autonomous driving research at the turning point
    Kai Sheng (Xidian)
    18/09/2023, 14:00
  7. 7. Message passing algorithm and it's application in ISAR Imaging
    Hailong Kang
    18/09/2023, 14:30
  8. 8. Modulation recognition
    Chunxi Dong
    18/09/2023, 15:00
  9. 9. Climate change and Energy-Networks
    Markus Schlott (FIAS)
    18/09/2023, 16:00
  10. 10. Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks
    Chen Li (FIAS)
    18/09/2023, 16:30
  11. 11. Mean field model and mean field game
    Lijun Bo (Xidian)
    18/09/2023, 17:00
  12. 12. AI for Seismology
    Nishtha Srivastava (FIAS)
    19/09/2023, 10:00
  13. 13. SAIPy: A Python Package for Single-Station Earthquake Monitoring using Deep Learning
    Megha Chakraborty (FIAS)
    19/09/2023, 10:30
  14. 14. A Deep Learning Approach for Large Earthquake Monitoring using High Rate-Global Navigation Satellite System Data
    Claudia Quinteros (FIAS)
    19/09/2023, 11:30
  15. 15. Testing the Potential of Deep Learning in Earthquake Forecasting
    Jonas Köhler (FIAS)
    19/09/2023, 12:00
  16. 16. Near field ISAR Imaging Method
    Jixiang Fu (FIAS)
    19/09/2023, 14:00
  17. 17. Amplitude-Phase retrieval for Terahertz Holography with Physics-Informed Deep Learning
    Mingjun Xian (FIAS)
    19/09/2023, 15:00
  18. 18. Application of PINNs to the spatiotemporal spread of Infectious diseases
    Han Shuai (FIAS)
    19/09/2023, 16:00
  19. 19. Machine learning combined with imaging for disease detection
    Ruichan Lyu (Xidian)
    19/09/2023, 16:30
  20. 20. Address from the Director of FIAS
    Eckhard Elsen (Deutsches Elektronen-Synchrotron (DE))
    20/09/2023, 09:30
  21. 21. Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning
    Xia Xu (FIAS)
    20/09/2023, 10:00
  22. 22. CRE: Circle relationship embedding of patches in vision transformer
    Zhengyang Yu (FIAS)
    20/09/2023, 10:30
  23. 23. Identifying lightning structures via machine learning
    20/09/2023, 11:30
  24. 24. Approximating Nash equilibrium for production control
    Tongqing Li (Xidian)
    20/09/2023, 12:00
  25. 25. Space target 3D reconstruction and attitude estimation
    Dan Xu (Xidian)
    20/09/2023, 14:00
  26. 26. Odor perceptron under uncontrolled environment
    Taoping Liu (Xidian)
    20/09/2023, 14:30
  27. 27. Speech emotion recognition
    Yu Gu (Xidian)
    20/09/2023, 15:00
  28. 28. Radar remote sensing interpretation and application
    Bo Ren (Xidian)
    20/09/2023, 16:00
  29. 29. TBA
    Omar El Sayed (FIAS)
    20/09/2023, 16:30
  30. 30. Deep Learning for Semiconductor Materials
    Yong Xie (Xidian)
    20/09/2023, 17:00
  31. 31. Bayesian inference for mechanical stress estimation in developmental biology
    Zoe Lange (FIAS)
    22/09/2023, 10:00
  32. 35. The emergence of neural representations
    Matthias Kaschube (FIAS)
    22/09/2023, 10:30
  33. 32. Investigating mechanisms of biomolecular self‐organization with computational intelligence
    Roberto Covino (FIAS)
    22/09/2023, 11:30

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  34. 33. Closing
    22/09/2023, 12:00
  35. 3. MAGIC
    Horst Stoecker (GSi)