Projects funded by the NCN

Design-ready forward and inverse surrogate modeling of high-frequency structures using deep learning and dimensionality ...

Call: OPUS 29 , Panel: ST7

Principal investigator: dr hab. Anna Pietrenko-Dąbrowska

Politechnika Gdańska

High-Dimensional Data Processing using Sample Compression and Dimensionality Reduction

Call: OPUS 26 , Panel: ST6

Principal investigator: dr Kunal Dutta

Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

Acceleration and compression of deep neural networks using low-rank approximation methods

Call: PRELUDIUM 22 , Panel: ST6

Principal investigator: Mateusz Gabor

Politechnika Wrocławska

Protein inference and quantification: a regularization approach

Call: PRELUDIUM 19 , Panel: ST6

Principal investigator: Mateusz Krystian Staniak

Uniwersytet Wrocławski

Probabilistic tools for high-dimensional geometric inference, topological data analysis, and large-scale networks.

Call: SONATA 15 , Panel: ST6

Principal investigator: dr Kunal Dutta

Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

Extraction of low-dimensional latent factors from nonnegatively constrained big data

Call: OPUS 9 , Panel: ST6

Principal investigator: dr hab. Rafał Zdunek

Politechnika Wrocławska

Discrimination of FTIR spectra and chromatograms obtained from Py-GC/MS technique supported by multidimensional data com...

Call: PRELUDIUM 6 , Panel: ST4

Principal investigator: dr Agnieszka Maria Martyna

Uniwersytet Jagielloński, Wydział Chemii

Diagnosis of selected gait abnormalities based on multi-modal acquisition of motion.

Call: OPUS 1 , Panel: ST6

Principal investigator: dr hab. Adam Świtoński

Polsko-Japońska Akademia Technik Komputerowych, Wydział Zamiejscowy Informatyki w Bytomiu