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Position: 

Institute Professor

Information: 

Joanna Domanska obtained a Master of Engineering degree from the Silesian University of Technology, Gliwice, Poland, in 1994. She received her PhD in Computer Science in January 2005 from the Scientific Council of the Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, and defended the habilitation dissertation in Computer Science in 2015 at the Faculty of Automatic Control, Electronics and Computer Science at the Silesian University of Technology. She has taken part in seven projects for the National Science Centre, Poland, and was project leader in two of them. She is a member of the SerIoT and the SDK4ED research teams, under the EU H2020 program. She is currently an Institute Professor at the Institute of Theoretical and Applied Informatics, Polish Academy of Sciences (IITIS-PAN) and member of the Computer Systems Modelling and Performance Evaluation Group since 1994, serving as leader of this group since 2018.

Her main areas of research include performance modelling methods for computer networks, particularly the modelling of network traffic intensity and the QoS related problems. Recently, her scientific interests have also been focused on the applications of Artificial Intelligence and Machine Learning to networking research. She transferred her experience regarding the analysis of properties of the network traffic to create the Machine Learning-based approach to examine the LRD behaviour of the traffic. Another recent work was focused on the improvement of Quality of Service (QoS), energy-efficiency and security by using Self-Aware Networks. Her other research endeavours were focused on the IoT security and software security.

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Publications

2024

1. Filus, K., and J. Domańska, "Similarity-driven adversarial testing of neural networks", Knowledge-Based Systems, In Press, 2024.
2. Filus, K., J. Domańska, and J. Klamka, "Evaluating Convolutional Neural Networks via measuring similarity of their first-layer filters and Gabor filters", 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, In Press, 2024.
3. Filus, K., and J. Domańska, "Extracting coarse-grained classifiers from large Convolutional Neural Networks", Engineering Applications of Artificial Intelligence, In Press, 2024.

2023

5. Sobczak, Ł., K. Filus, M. Halama, and J. Domańska, "Visual examination of relations between known classes for deep neural network classifiers.", 2023 IEEE International Conference on Big Data, Sorrento, Italy, 01/2024, 2023.
6. Filus, K., and J. Domańska, "NetSat: Network Saturation Adversarial Attack", IEEE International Conference on Big Data (IEEE BigData 2023), Sorrento, Italy, 2023.
7. Halama, M., K. Filus, and J. Domańska, "Robust category recognition based on deep templates for educational mobile applications", 2023 IEEE International Conference on Big Data, Sorrento, Italy, IEEE International Conference on Big Data, 01/2024, 2023.
8. Kelesoglu, N., K. Filus, and J. Domańska, "HierAct: a Hierarchical Model for Human Activity Recognition in Game-Like Educational Applications", 2023 IEEE International Conference on Big Data, Sorrento, Italy , IEEE, 01/2024, 2023.
9. Filus, K., and J. Domańska, "Recycling of Generic ImageNet-trained Models for Smart-city Applications", The 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Thessaloniki, Greece, IEEE, 2023.
11. Filus, K., and J. Domańska, "Software Vulnerabilities in TensorFlow-Based Deep Learning Applications", Computers & Security, vol. 124, 10/2022, 2023.

2022

12. Filus, K., Ł. Sobczak, J. Domańska, A. Domański, and R. Cupek, "Real-time testing of vision-based systems for AGVs with ArUco markers", IEEE International Conference on Big Data, Osaka, 17-20 December, 2022, IEEE, 2022.
15. Marek, D., A. Domański, J. Domańska, J. Szyguła, T. Czachórski, J. Klamka, and K. Filus, "Approximation Models for the Evaluation of TCP/AQM Networks", Bulletin of the Polish Academy of Sciences, Technical Sciences (BPASTS), vol. 70, issue 4, 2022.
16. Filus, K., and J. Domańska, "NAM: What Does a Neural Network See?", International Joint Conference on Neural Networks (IJCNN 2022), IEEE WCCI 2022, Padova, 18-23 July, 2022, IEEE, 2022.

2021

21. Szyguła, J., A. Domański, J. Domańska, T. Czachórski, J. Klamka, and D. Marek, "The IoT Gateway with Active Queue Management", International Journal of Applied Mathematics and Computer Science (AMCS), vol. 31, issue 1, 2021.
22. Filus, K., M. Siavvas, J. Domańska, and E. Gelenbe, "The Random Neural Network as a Bonding Model for Software Vulnerability Prediction", Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, vol. 12527: Springer International Publishing, pp. 102-116, 2021.  (690.95 KB)
23. Filus, K., J. Domańska, and E. Gelenbe, "Random Neural Network for Lightweight Attack Detection in the IoT", MASCOTS 2020: Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, vol. 12527: Springer International Publishing, pp. 79-91, 2021.  (336.06 KB)
25. Szyguła, J., A. Domański, J. Domańska, D. Marek, K. Filus, and S. Mendla, "Supervised learning of Neural Networks for Active Queue Management in the Internet", Sensors, vol. 21(15), issue Special Issue "Mathematical Modelling and Analysis in Sensors Networks", 2021.

Pages

Historia zmian

Data aktualizacji: 01/08/2023 - 12:42; autor zmian: Łukasz Zimny (lzimny@iitis.pl)

Joanna Domanska obtained a Master of Engineering degree from the Silesian University of Technology, Gliwice, Poland, in 1994. She received her PhD in Computer Science in January 2005 from the Scientific Council of the Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, and defended the habilitation dissertation in Computer Science in 2015 at the Faculty of Automatic Control, Electronics and Computer Science at the Silesian University of Technology. She has taken part in seven projects for the National Science Centre, Poland, and was project leader in two of them. She is a member of the SerIoT and the SDK4ED research teams, under the EU H2020 program. She is currently an Institute Professor at the Institute of Theoretical and Applied Informatics, Polish Academy of Sciences (IITIS-PAN) and member of the Computer Systems Modelling and Performance Evaluation Group since 1994, serving as leader of this group since 2018.

Her main areas of research include performance modelling methods for computer networks, particularly the modelling of network traffic intensity and the QoS related problems. Recently, her scientific interests have also been focused on the applications of Artificial Intelligence and Machine Learning to networking research. She transferred her experience regarding the analysis of properties of the network traffic to create the Machine Learning-based approach to examine the LRD behaviour of the traffic. Another recent work was focused on the improvement of Quality of Service (QoS), energy-efficiency and security by using Self-Aware Networks. Her other research endeavours were focused on the IoT security and software security.