Oct. 11, 2023, 1:59 p.m.

The “Big data analytical methods for complex systems” will be held on October 19, 2023 in Wrocław, Poland. The workshop is co-organized by CASUS’ Scultetus Center and the Faculty of Mathematics and Computer Science of University of Wrocław, Poland.

This is a follow-up workshop to last October’s event. As in 2022, also this year research progress and ideas relating to methods for analyzing complex systems and big data will be presented, discussed and exchanged on. The workshop aims to intensify contacts specifically between the University of Wrocław and CASUS in the field of computer and data science as well as applied mathematics.

In addition, the workshop’s scopes include:
– Defining future funding opportunities for the joint project
– Establishing opportunities for the co-supervision of students (master and PhD)
– Establishing new scientific collaborations

The venue of the workshop is the Faculty of Mathematics and Computer Science in Wrocław, Poland. Conference language is English.


  Time Topic
  8:45 – 9:00 CEST

Welcome & Introduction Thomas Kühne, HZDR/CASUS, Germany, and Jerzy Marcinkowski, University of Wrocław, Poland

  09:00 – 12:00 CEST

Morning session

  09:00 – 09:15 CEST Thomas Kühne, CASUS
    Breaking the exaflop barrier with the CP2K code
  09:15 – 09:30 CEST Tobias Dornheim, CASUS
    Understanding warm dense matter: from ab initio simulations to experiments
  09:30 – 09:45 CEST Andreas Knüpfer, CASUS
    Professional support at CASUS: computer science support & research
  09:45 – 10:00 CEST

Coffee break

  10:00 – 10:15 CEST Justin Calabrese, CASUS
    Gradient alignment and biodiversity shear in river networks
  10:15 – 10:30 CEST Ulrik Günther, CASUS
    Applications of XR in biology
  10:30 – 10:45 CEST Michael Hecht, CASUS
    Global polynomial level sets for numerical differential geometry of smooth closed surfaces
  10:45 – 11:00 CEST Agnieszka Kuc, CASUS
    Two-dimensional materials for emerging applications in materials science
  11:00 – 11:15 CEST Attila Cangi, CASUS
    Machine learning meets quantum mechanics for materials
  11:15 – 11:30 CEST Artur Yakimovich, CASUS
    Label-efficient Deep Learning for Infection Detection in Microscopy
  11:30 – 11:45 CEST Adrian Urbanski, CASUS
    Label-efficient machine learning algorithms for the clinical diagnostics of urinary tract infections
  11:45 – 12:00 CEST Bartosz Brzoza, CASUS
    Accelerating density functional theory calculations on hydrogen molecules with SE(3)-equivariant graph neural networks
  12:00 – 13:00 CEST


  13:00 – 15:00 CEST

Afternoon session

  13:00 – 13:15 CEST Ricardo Martínez-García, CASUS
    The potential of AI in ecosystem management: drylands as a case study
  13:15 – 13:30 CEST Michał Stypułkowski, University of Wrocław
    Talking head generation using diffusion generative models
  13:30 – 13:45 CEST Piotr Lipiński, University of Wrocław
    Discovering hidden interests in recommender systems
  13:45 – 14:00 CEST Gosia Bogdan, University of Wrocław
    Sorted L-One penalized estimator for graphical models and large concentration matrices
  14:00 – 14:15 CEST Klaudia Balcer, University of Wrocław
    Can we explain what is hidden? SSM in XAI
  14:15 – 14:30 CEST Michał Kowalczykiewicz, University of Wrocław
    Snippet embeddings in evolutionary source code generation
  14:30 – 14:45 CEST Justyna Stańczyk, Wrocław University of Environmental and Life Sciences
    AI/ML in human activity recognition based on individual water consumption
  14:30 – 14:45 CEST Mateusz Staniak, University of Wrocław
    MSstats: acquiring knowledge from large proteomic mass-spectrometry data
  14:45 – 15:00 CEST Krystyna Grzesiak, University of Wrocław
    Imputomics: comprehensive missing value imputation for metabolomics data
  15:00 – 15:15 CEST

Coffee break

  15:15 – 16:30 CEST

Poster session and networking