Projects funded by the NCN

Development of machne learning methods with an application of determining of chemical compounds activitiy

Call: PRELUDIUM 7 , Panel: ST6

Principal investigator: dr Marek Andrzej Śmieja

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

Methods for combining one-class classifiers

Call: PRELUDIUM 5 , Panel: ST6

Principal investigator: Bartosz Marcin Krawczyk

Politechnika Wrocławska, Wydział Elektroniki

Development of a tool for automatic evaluation of complexes of ligands with serotonin receptors based on the application...

Call: PRELUDIUM 5 , Panel: NZ2

Principal investigator: Sabina Marta Podlewska

Instytut Farmakologii PAN

Machine learning methods for complex networks

Call: OPUS 5 , Panel: ST6

Principal investigator: dr hab. Przemysław Ryszard Kazienko

Politechnika Wrocławska, Wydział Informatyki i Zarządzania

Interactive Visual Text Analytics (IVTA): Development of novel user-driven text mining and visualization methods for lar...

Call: OPUS 5 , Panel: ST6

Principal investigator: prof. Witold Dzwinel

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Informatyki, Elektroniki i Telekomunikacji

Development of algorithms for all relevant feature selevtion using machine learning methods

Call: OPUS 5 , Panel: ST6

Principal investigator: dr hab. Witold Remigiusz Rudnicki

Uniwersytet Warszawski, Interdyscyplinarne Centrum Modelowania Matematycznego i Komputerowego

Selected Aspects of Scalability of Methods of Data Mining and Knowledge Discovery in Databases

Call: OPUS 1 , Panel: ST6

Principal investigator: dr hab. Dominik Antoni Ślęzak

Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

The influence of molecular fingerprint bit density on chemical pattern recognition effectiveness

Call: PRELUDIUM 2 , Panel: NZ2

Principal investigator: Rafał Jerzy Kurczab

Instytut Farmakologii PAN

Integrative analysis of tRNA modification circuits and aminoacylation and their role in breast cancer model.

Call: OPUS 29 , Panel: NZ2

Principal investigator: dr Marcin Sajek

Instytut Genetyki Człowieka PAN

Study on Domain Adaptation in Neural Diagnostic Systems

Call: PRELUDIUM 24 , Panel: ST8

Principal investigator: Paweł Knap

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

Machine Learning Insights into the Heterogeneous Effect of Contouring Parameters on the Fatigue Life of Additively Manuf...

Call: OPUS 29 , Panel: ST8

Principal investigator: prof. Aleksander Gracjan Karolczuk

Politechnika Opolska

Local Causal Explainability of Machine Learning Models: Game-Theoretic Methods for Reliable Feature Attribution

Call: PRELUDIUM 24 , Panel: ST6

Principal investigator: Mateusz Maciej Gajewski

Politechnika Poznańska

Establishing a benchmarking platform for AI/ML predictive models for bioactivity and toxicity in agrochemistry.

Call: OPUS 29 , Panel: ST4

Principal investigator: dr hab. Paweł Aleksander Siedlecki

Instytut Biochemii i Biofizyki PAN

Development of a roughness model for drag prediction in minichannel flows using machine learning

Call: OPUS 29 , Panel: ST8

Principal investigator: prof. Włodzimierz Grzegorz Wróblewski

Politechnika Śląska

Numerical Spines Research on Injury Severity Key-factors in Road Accidents nSPINE-RISK

Call: PRELUDIUM 24 , Panel: ST8

Principal investigator: Tomasz Wiczenbach

Politechnika Gdańska

Identification of proteolytic cleavage sites in peptide substrates using coarse-grained docking and machine learning met...

Call: OPUS 29 , Panel: NZ1

Principal investigator: dr hab. Michał Koliński

Instytut Medycyny Doświadczalnej i Klinicznej im. Mirosława Mossakowskiego PAN

Towards accurate universal machine learning potentials for electronic excited-state simulations

Call: PRELUDIUM 24 , Panel: ST4

Principal investigator: Mikołaj Jan Martyka

Uniwersytet Warszawski

Flow Boiling Heat Transfer in Annular and Rectangular Minichannels Using Machine Learning-Based Modeling

Call: OPUS 29 , Panel: ST8

Principal investigator: prof. Magdalena Janina Piasecka

POLITECHNIKA ŚWIĘTOKRZYSKA

Research on spatial-temporal dynamics of ice and water temperature in the Vistula River based on ground observations, sa...

Call: PRELUDIUM 24 , Panel: ST10

Principal investigator: Maksymilian Fukś

Instytut Geografii i Przestrzennego Zagospodarowania im. S. Leszczyckiego PAN

Artificial intelligence in predicting treatment outcomes of abdominal cancers – implementation of machine learning and d...

Call: SONATINA 9 , Panel: NZ7

Principal investigator: dr Krzysztof Bartnik

Politechnika Warszawska

Thermodynamic modeling combined with new measurement techniques of the physicochemistry of liquid-liquid equilibrium in ...

Call: OPUS 28 , Panel: ST4

Principal investigator: dr hab. Mirosław Adam Chorążewski

UNIWERSYTET ŚLĄSKI

Design automation and simulation-driven optimization of high-frequency systems using machine learning

Call: OPUS 28 , Panel: ST7

Principal investigator: dr hab. Anna Pietrenko-Dąbrowska

Politechnika Gdańska

High-precision theoretical spectroscopy of core-excited and core-ionized electronic states

Call: OPUS 28 , Panel: ST4

Principal investigator: dr Wojciech Skomorowski

Uniwersytet Warszawski

SWIFT – In-depth study of the sustainable conversion of organic waste fraction into bio-oils by fermentation technology ...

Call: SONATA 20 , Panel: ST8

Principal investigator: dr Anna Duber

Politechnika Poznańska

Selection of patient-specific aortic valve prosthesis by a hybrid technique that integrates CFDsimulations, machine lear...

Call: SONATA BIS 14 , Panel: ST8

Principal investigator: prof. Wojciech Piotr Adamczyk

Politechnika Śląska

Mobility Patterns and Social Hierarchies. A Bioarchaeological and Chronological Study of the Late Bronze Age and Hallsta...

Call: SONATA BIS 14 , Panel: HS3

Principal investigator: dr Anna Maria Józefowska-Domańska

Instytut Archeologii i Etnologii Polskiej Akademii Nauk

Optimization of hydrogen oxy-combustion and hydrogen-ammonia combustion using experimental techniques, high-fidelity num...

Call: OPUS 27 , Panel: ST8

Principal investigator: prof. Artur Tomasz Tyliszczak

Politechnika Częstochowska

Overcoming forgetting in continual learning with an ensemble of experts

Call: PRELUDIUM 23 , Panel: ST6

Principal investigator: Grzegorz Rypeść

IDEAS NCBR Sp. z o.o.

Application of explainable artificial intelligence algorithms in order to improve imbalanced data methods

Call: PRELUDIUM 23 , Panel: ST6

Principal investigator: Weronika Tamara Węgier

Politechnika Wrocławska

Application of 3D modeling, micro and nano computed tomography and machine learning to optimization an energy-saving and...

Call: OPUS 27 , Panel: ST8

Principal investigator: prof. Robert Józef Filipek

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

(Lipid-FLUX) Single-cell lipidomics by spectroscopy: Quantification of the lipid transport through the development of ne...

Call: OPUS 27 , Panel: ST4

Principal investigator: prof. Małgorzata Anna Barańska

Uniwersytet Jagielloński

Identification and measurement of systemic threats to the insurance sector resulting from climate risk in the light of s...

Call: OPUS 27 , Panel: HS4

Principal investigator: dr Anna Bronisława Denkowska

UNIWERSYTET EKONOMICZNY W KRAKOWIE

Addressing Data-Centric AI Challenges in Machine Learning with Advanced Sample-Selection Techniques

Call: PRELUDIUM 23 , Panel: ST6

Principal investigator: Mateusz Wojtulewicz

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

A prelude to computational screening for non-cytotoxic, antibacterial ionic liquids (PreCompIL)

Call: PRELUDIUM 23 , Panel: ST5

Principal investigator: Kamila Jarzyńska

Uniwersytet Gdański

Insight into the function of post-translational modifications of proteins via large-size scale and long-scale molecular ...

Call: SONATA 19 , Panel: ST4

Principal investigator: dr Agnieszka Gabriela Lipska

Politechnika Gdańska

Building Energy Flexibility: Mechanisms and Opportunities

Call: OPUS 26 , Panel: ST8

Principal investigator: dr Zhixiong Li

Politechnika Opolska, Wydział Mechaniczny

Explainability methods for machine learning models in static and evolving data

Call: OPUS 26 , Panel: ST6

Principal investigator: prof. Jerzy Maciej Stefanowski

Politechnika Poznańska, Wydział Informatyki i Telekomunikacji

Non-classical Approaches for Condition Monitoring and Fault Detection of Wind Turbines

Call: OPUS 26 , Panel: ST8

Principal investigator: dr hab. Phong Ba Dao

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Inżynierii Mechanicznej i Robotyki

Unlocking the potential of ion-transfer voltammetry based electronic tongues for date-rape drug detection in real sample...

Call: SONATA BIS 13 , Panel: ST4

Principal investigator: dr Emilia Katarzyna Witkowska-Nery

Instytut Chemii Fizycznej Polskiej Akademii Nauk

Quantum sensors operating in extreme scenarios: novel applications of statistical inference, machine learning and contro...

Call: SONATA BIS 13 , Panel: ST2

Principal investigator: dr Jan Kołodyński

Uniwersytet Warszawski, Centrum Nowych Technologii Uniwersytetu Warszawskiego

Towards superhuman performance in solving complex reasoning problems with Advanced Subgoal Search

Call: PRELUDIUM 22 , Panel: ST6

Principal investigator: Michał Zawalski

Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

Acoustic Intelligence - towards self-supervised deep neural acoustic analysis

Call: OPUS 25 , Panel: ST7

Principal investigator: dr hab. Konrad Karol Kowalczyk

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Informatyki, Elektroniki i Telekomunikacji

Detection and denoising of Gravitational Wave sources in Einstein Telescope using deep learning

Call: PRELUDIUM 22 , Panel: ST9

Principal investigator: Wathela Hamed Osman Alhassan

Centrum Astronomiczne im. Mikołaja Kopernika PAN

Improving the transferability of self-supervised learning models

Call: PRELUDIUM 22 , Panel: ST6

Principal investigator: Marcin Paweł Przewięźlikowski

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

Development of weak supervision methods for multispectral image processing in the field of precision agriculture

Call: PRELUDIUM 22 , Panel: ST6

Principal investigator: Przemysław Aszkowski

Politechnika Poznańska, Wydział Automatyki, Robotyki i Elektrotechniki

Multispectral fluorescence coupled with machine learning methods to identify food-related bacteria

Call: PRELUDIUM 22 , Panel: ST4

Principal investigator: Klaudia Maria Głowacz

Politechnika Warszawska, Wydział Chemiczny

Damage Diagnosis and Remaining Useful Life Prognosis of Adhesively Bonded Composite Structures Based on Digital Twin and...

Call: PRELUDIUM 22 , Panel: ST8

Principal investigator: Yang Zhang

Instytut Maszyn Przepływowych im. Roberta Szewalskiego PAN

Introduction of machine learning algorithms to the prediction of in-flight feedstock thermophysical properties during su...

Call: PRELUDIUM 22 , Panel: ST8

Principal investigator: Tomasz Adrian Kiełczawa

Politechnika Wrocławska

Investigations into efficiency and productivity change of decision making units: New methods based on machine learning t...

Call: OPUS 25 , Panel: HS4

Principal investigator: dr hab. Magdalena Maria Kapelko

Uniwersytet Ekonomiczny we Wrocławiu, Wydział Zarządzania

Decrypting the "sulfation code" of glycosaminoglycans for understanding their function in the extracellular matrix

Call: OPUS 25 , Panel: ST4

Principal investigator: dr hab. Sergey Samsonov

Uniwersytet Gdański, Wydział Chemii