Przemysław Głomb, PhD

Email: 

Orcid ID: 

0000-0002-0215-4674

Position: 

Institute Professor
Research groups

Horizontal Tabs

Publications
Biblio RSS

In Press

1. Kołodziej, K., M. Cholewa, P. Głomb, W. Koral, and M. Romaszewski, "Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials", ASCE Journal of Water Resources Planning and Management, In Press.

2025

2. Zawadzka, A., P. Głomb, and M. Żarski, "Development of an effective method for detecting small buildings in satellite images", PP-RAI 2025, 2025.  (70.96 KB)
3. Zawadzka, A., P. Głomb, and M. Żarski, "Development of an effective method for detecting small buildings in satellite images", PP-RAI 2025, 2025.  (70.96 KB)
4. Cholewa, M., M. Romaszewski, and P. Głomb, "Data structure better than labels? Unsupervised heuristics for SVM hyperparameter estimation", Bulletin of the Polish Academy of Sciences Technical Sciences, 2025.  (1.37 MB)
5. Kołodziej, K., P. Głomb, and A. Zawadzka, "Challenges associated with the integration of Large Multimodal Models for waste sorting", 6th Polish Conference on Artificial Intelligence (PP-RAI 2025), 2025.
6. Książek, K., W. Masarczyk, P. Głomb, M. Romaszewski, K. Buza, P. Sekuła, M. Cholewa, K. Kołodziej, P. Gorczyca, and M. Piegza, "Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals", PLOS Computational Biology, vol. 21, 09/2025.
7. Sekuła, P., M. Romaszewski, P. Głomb, M. Cholewa, and Ł. Pawela, "Quantum-aware Transformer model for state classification", International Conference on Computational Science 2025, 2025.
8. Romaszewski, M., P. Sekuła, P. Głomb, M. Cholewa, and K. Kołodziej, "Through the Thicket: A Study of Number-Oriented LLMS Derived from Random Forest Models", Journal of Artificial Intelligence and Soft Computing Research, vol. 15, issue 3, 03/2025.

2024

9. Cholewa, M., M. Romaszewski, P. Głomb, K. Kołodziej, M. Gorawski, J. Koral, W. Koral, A. Madej, and K. Musioł, "‘Just One More Sensor is Enough’ – Iterative Water Leak Localization with Physical Simulation and a Small Number of Pressure Sensors", IEEE Sensors Journal, 06/2024.
10. Książek, K., "Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data", Computers in Biology and Medicine, vol. 176, 05/2024.
11. Romaszewski, M., P. Sekuła, P. Głomb, M. Cholewa, and K. Kołodziej, "Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models", arXiv preprint arXiv:2406.04926, 06/2024.
12. Kołodziej, K., M. Cholewa, P. Głomb, W. Koral, and M. Romaszewski, "Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials", arXiv preprint arXiv:2410.02772, 09/2024.
13. Gawron, P., P. Sadowski, P. Głomb, B. Gardas, M. Van Waveren, C. Forray, G. Pasero, M. Savinaud, P-M. Brunet, O. Faucoz, et al., "What Could be Achieved with a Million Qubits Quantum Annealer in Remote Sensing?", IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 2024.
14. Kołodziej, K., M. Cholewa, M. Romaszewski, P. Głomb, W. Koral, and P. Sekuła, "Calibration of Water Demand Network Through a Machine Learned Digital Twin Model", 5th Polish Conference on Artificial Intelligence (PP-RAI 2024), 2024.

2023

15. Książek, K., W. Masarczyk, P. Głomb, M. Romaszewski, I. Stokłosa, P. Ścisło, P. Dębski, R. Pudlo, K. Buza, P. Gorczyca, et al., "The analysis of heart rate variability and accelerometer mobility data in the assessment of symptom severity in psychotic disorder patients using a wearable Polar H10 sensor", medXriv, 08/2023.
16. Strzoda, A., K. Grochla, P. Głomb, and A. Madej, "Link failure prediction in LoRa networks", International Wireless Communications and Mobile Computing Conference, IWCMC, Marrakesh, Morocco, IEEE, 07/2023.
17. Głomb, P., M. Cholewa, W. Koral, A. Madej, and M. Romaszewski, "Detection of emergent leaks using machine learning approaches", Water Supply, vol. 23, issue 6, 05/2023.
18. Książek, K., W. Masarczyk, P. Głomb, M. Romaszewski, I. Stokłosa, P. Ścisło, P. Dębski, R. Pudlo, P. Gorczyca, and M. Piegza, HRV-ACC: a dataset with R-R intervals and accelerometer data for the diagnosis of psychotic disorders using a Polar H10 wearable sensor, 2023.
19. Ciemięga, A., K. Maresz, M. Romaszewski, P. Głomb, P. Krupska-Wolas, and K. Prusik, "Hyperspectral Imaging as a Facile and Non-Destructive Method for Size Analysis of Gold Nanoparticles Deposited on Porous Materials", Particle & Particle Systems Characterization, 2023.
20. Gardas, B., P. Głomb, P. Sadowski, Z. Puchała, K. Jałowiecki, Ł. Pawela, O. Faucoz, P-M. Brunet, P. Gawron, M. Van Waveren, et al., "Hyper-Spectral Image Classification Using Adiabatic Quantum Computation", IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023.
21. Głomb, P., M. Cholewa, P. Foszner, and J. Bularz, "Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification", Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, Warsaw, Poland, September 17-20, 2023, 2023.
22. Głomb, P., M. Romaszewski, M. Cholewa, W. Koral, A. Madej, M. Skrabski, and K. Kołodziej, "Machine Learning for Water Leak Detection and Localization in the WaterPrime Project", Wojciechowski A.(Ed.), Lipiński P.(Ed.)., Progress in Polish Artificial Intelligence Research 4, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.: Wydawnictwo Politechniki Łódzkiej, 2023.
23. Buza, K., K. Książek, W. Masarczyk, P. Głomb, P. Gorczyca, and M. Piegza, "A Simple and Effective Classifier for the Detection of Psychotic Disorders based on Heart Rate Variability Time Series", Information Technologies – Applications and Theory 2023, vol. 3498, Tatranské Matliare, Knižnicné a edicné centrum, Fakulta matematiky, fyziky a informatiky, Univerzita Komenského, Mlynská dolina, Bratislava, 09/2023.

2022

24. Książek, K., P. Głomb, M. Romaszewski, M. Cholewa, B. Grabowski, and K. Buza, "Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation", 21st International Conference on Image Analysis and Processing, vol. 13231, Lecce, Italy, Springer, Cham, 05/2022.
25. Grochla, K., A. Strzoda, R. Marjasz, P. Głomb, K. Książek, and Z. Łaskarzewski, "Energy-Aware Algorithm for Assignment of Relays in LPWAN", Transactions on Sensor Networks, vol. 18, issue 4, 11/2022.

Pages

Historia zmian

Data aktualizacji: 10/06/2022 - 10:42; autor zmian: Łukasz Zimny (lzimny@iitis.pl)