Projects funded by the NCN

Degradation of Lipids and Sterols in High-Temperature, Ozonated Environments - From Model Systems to Real Oils. Leveragi...

Call: OPUS 29 , Panel: NZ9

Principal investigator: prof. Małgorzata Anna Majcher

Uniwersytet Przyrodniczy w Poznaniu

Neurosymbolic Architectures for Unsupervised Learning of Explanatory Models

Call: OPUS 29 , Panel: ST6

Principal investigator: prof. Krzysztof Krawiec

Politechnika Poznańska

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

Historical Earth Research for Multitemporal Evolution Study by Remote Sensing technique (HERMES)

Call: PRELUDIUM 24 , Panel: ST10

Principal investigator: Adam Emilian Kostrzewa

Politechnika Warszawska

Democratizing Diffusion Models: Guidance-Driven Optimization of Existing Models for Enhanced Quality and Diversity with ...

Call: PRELUDIUM 24 , Panel: ST6

Principal investigator: Artur Kasymov

Uniwersytet Jagielloński

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

High-Spatial Resolution Electrical Capacitance Tomography

Call: OPUS 29 , Panel: ST7

Principal investigator: dr Damian Mateusz Wanta

Politechnika Warszawska

Explanation of Pre-Trained deep learning models via Prototypes

Call: PRELUDIUM 24 , Panel: ST6

Principal investigator: Piotr Borycki

Uniwersytet Jagielloński

Advancing Curriculum Learning: from adaptive learning objectives to Kolmogorov-Arnold Networks

Call: OPUS 29 , Panel: ST6

Principal investigator: dr hab. Mikołaj Aleksander Morzy

Politechnika Poznańska

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

Integration of multi-source remote sensing data for landslide precursor detection

Call: PRELUDIUM 24 , Panel: ST10

Principal investigator: Katarzyna Januchta

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

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

Call: PRELUDIUM 24 , Panel: ST8

Principal investigator: Tomasz Wiczenbach

Politechnika Gdańska

Improving hybrid classical-quantum optimization using machine learning techniques

Call: PRELUDIUM 24 , Panel: ST6

Principal investigator: Justyna Jolanta Zawalska

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

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

Multimodal learning for medical image analysis

Call: OPUS 29 , Panel: ST6

Principal investigator: dr Szymon Stefan Płotka

Uniwersytet Jagielloński

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

Novel neural representations for ultrasound imaging

Call: OPUS 29 , Panel: ST7

Principal investigator: dr hab. Michał Byra

Instytut Podstawowych Problemów Techniki Polska Akademia Nauk

Deep learning enabled rapid dynamic optical coherence tomography for breast tumour margin assessment

Call: SONATINA 9 , Panel: ST7

Principal investigator: dr Matt Hepburn

Uniwersytet Mikołaja Kopernika

Multi-geomodal representation learning for geographic transfer learning

Call: SONATA 20 , Panel: ST6

Principal investigator: dr Piotr Szymański

Politechnika Wrocławska

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

[DeepSee] Deep learning single-shot in-line quantitative phase imaging

Call: OPUS 28 , Panel: ST7

Principal investigator: dr Maria Cywińska

Politechnika Warszawska

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

Multimodal Geometric Deep Learning in Medical Image Analysis

Call: SONATA 20 , Panel: ST6

Principal investigator: dr Marek Michał Wodziński

Sano - Centrum Zindywidualizowanej Medycyny Obliczeniowej - Międzynarodowa Fundacja Badawcza

Calculus of variation for Machine Learning Problems

Call: OPUS 28 , Panel: ST6

Principal investigator: dr hab. Błażej Grzegorz Miasojedow

Uniwersytet Warszawski

GENIE-MRI: Generative Neural Networks for Image Exchange in breast MRI

Call: SONATA 20 , Panel: ST6

Principal investigator: dr Andrzej Liebert

Instytut Podstaw Informatyki PAN

CARET: Context-Aware Interpretation of Human Actions for Implementation in Assistive Robotics

Call: SONATA 20 , Panel: ST7

Principal investigator: dr Vibekananda Dutta

Politechnika Warszawska

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

Robot generalist - advancing robot learning via reinforcement learning and VLAs

Call: SONATA BIS 14 , Panel: ST6

Principal investigator: dr hab. Marek Adam Cygan

Uniwersytet Warszawski

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

Personal_TIVA: A Personalized Approach To An Automatic Drugs Delivery Control System In The Total Intravenous Anaesthesi...

Call: SONATA BIS 14 , Panel: ST7

Principal investigator: dr hab. Andrzej Pawłowski

Politechnika Wrocławska

Video segmentation of irregular objects in the presence of noise/artifacts.

Call: OPUS 27 , Panel: ST6

Principal investigator: dr Anna Węsierska

Politechnika Gdańska

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

Linking political reform and judicial decisionmaking. A study ofjudicial resilience in Poland

Call: OPUS 27 , Panel: HS5

Principal investigator: dr hab. Jan Winczorek

Uniwersytet Warszawski

AI-based model for fast and label-free identification of BAALC overexpression in acute myeloid leukemia cells

Call: PRELUDIUM 23 , Panel: NZ1

Principal investigator: Paulina Małgorzata Laskowska

Instytut Hematologii i Transfuzjologii

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.

New architectures and algorithms for neurosymbolic deep learning

Call: PRELUDIUM 23 , Panel: ST6

Principal investigator: Piotr Leszek Wyrwiński

Politechnika Poznańska

Reliable and efficient real-world test-time adaptation

Call: PRELUDIUM 23 , Panel: ST6

Principal investigator: Damian Sójka

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

Continual learning with conditional computation networks

Call: PRELUDIUM 23 , Panel: ST6

Principal investigator: Filip Maciej Szatkowski

IDEAS NCBR Sp. z o.o.

Security of radio-physics-based federated learning in next-generation edge computing systems

Call: PRELUDIUM 23 , Panel: ST7

Principal investigator: Małgorzata Helena Wasilewska

Politechnika Poznańska

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

Modeling and optimization of multi-service and multilayer Xhaul networks

Call: OPUS 27 , Panel: ST7

Principal investigator: dr hab. Mirosław Klinkowski

Instytut Łączności - Państwowy Instytut Badawczy

Step Towards Self-Aware Electric Drives

Call: OPUS 27 , Panel: ST7

Principal investigator: dr Dominik Łuczak

Politechnika Poznańska

Functional motif-targeted RNA structure modeling

Call: OPUS 27 , Panel: ST6

Principal investigator: prof. Marta Xymena Szachniuk

Politechnika Poznańska

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

Application of deep learning methods in detection, classification and compensation of the measuring sensors faults in pe...

Call: PRELUDIUM 23 , Panel: ST7

Principal investigator: Kamila Anna Jankowska

Politechnika Wrocławska

A machine learning usage to predict venetoclax efficacy and toxicity in chronic lymphocytic leukemia.

Call: PRELUDIUM 23 , Panel: NZ7

Principal investigator: Dorota Kruk-Kwapisz

Warszawski Uniwersytet Medyczny

Generative AI for the Physical World

Call: PRELUDIUM 23 , Panel: ST6

Principal investigator: Longlai Qiu

IDEAS NCBR Sp. z o.o.