Oct. 11, 2023, 1:59 p.m.
Big data analytical methods for complex systems 2023
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.
Program
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 |
Lunch |
|
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 |